@Preamble{"\input bibnames.sty" #
"\def \TM {${}^{\sc TM}$}"
}
@String{ack-nhfb = "Nelson H. F. Beebe,
University of Utah,
Department of Mathematics, 110 LCB,
155 S 1400 E RM 233,
Salt Lake City, UT 84112-0090, USA,
Tel: +1 801 581 5254,
e-mail: \path|beebe@math.utah.edu|,
\path|beebe@acm.org|,
\path|beebe@computer.org| (Internet),
URL: \path|https://www.math.utah.edu/~beebe/|"}
@String{j-TMIS = "ACM Transactions on Management Information
Systems (TMIS)"}
@Article{Chen:2010:EWF,
author = "Hsinchun Chen",
title = "Editorial: {Welcome} to the first issue of {ACM
TMIS}",
journal = j-TMIS,
volume = "1",
number = "1",
pages = "1:1--1:??",
month = dec,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1877725.1877726",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:24 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Davis:2010:IFF,
author = "Gordon B. Davis and Paul Gray and Stuart Madnick and
Jay F. Nunamaker and Ralph Sprague and Andrew Whinston",
title = "Ideas for the future of the {IS} field",
journal = j-TMIS,
volume = "1",
number = "1",
pages = "2:1--2:??",
month = dec,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1877725.1877727",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:24 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Wang:2010:DIS,
author = "Jingguo Wang and Nan Xiao and H. Raghav Rao",
title = "Drivers of information security search behavior: an
investigation of network attacks and vulnerability
disclosures",
journal = j-TMIS,
volume = "1",
number = "1",
pages = "3:1--3:??",
month = dec,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1877725.1877728",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:24 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Ba:2010:WGS,
author = "Sulin Ba and Dan Ke and Jan Stallaert and Zhongju
Zhang",
title = "Why give away something for nothing? {Investigating}
virtual goods pricing and permission strategies",
journal = j-TMIS,
volume = "1",
number = "1",
pages = "4:1--4:??",
month = dec,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1877725.1877729",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:24 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Cao:2010:MDA,
author = "Lan Cao and Balasubramaniam Ramesh and Tarek
Abdel-Hamid",
title = "Modeling dynamics in agile software development",
journal = j-TMIS,
volume = "1",
number = "1",
pages = "5:1--5:??",
month = dec,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1877725.1877730",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:24 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Arazy:2010:SCW,
author = "Ofer Arazy and Arie Croitoru",
title = "The sustainability of corporate wikis: a time-series
analysis of activity patterns",
journal = j-TMIS,
volume = "1",
number = "1",
pages = "6:1--6:??",
month = dec,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1877725.1877731",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:24 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Fu:2010:PPT,
author = "Yu Fu and Zhiyuan Chen and Gunes Koru and Aryya
Gangopadhyay",
title = "A privacy protection technique for publishing data
mining models and research data",
journal = j-TMIS,
volume = "1",
number = "1",
pages = "7:1--7:??",
month = dec,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1877725.1877732",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:24 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Chen:2011:EDS,
author = "Hsinchun Chen",
title = "Editorial: {Design} science, grand challenges, and
societal impacts",
journal = j-TMIS,
volume = "2",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1929916.1929917",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:25 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Chau:2011:VWS,
author = "Michael Chau",
title = "Visualizing {Web} search results using glyphs:
{Design} and evaluation of a flower metaphor",
journal = j-TMIS,
volume = "2",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1929916.1929918",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:25 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Kuo:2011:LAG,
author = "Feng-Yang Kuo and Chun-Po Yin",
title = "A linguistic analysis of group support systems
interactions for uncovering social realities of
organizations",
journal = j-TMIS,
volume = "2",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1929916.1929919",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:25 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Kane:2011:MSI,
author = "Gerald C. Kane",
title = "A multimethod study of information quality in wiki
collaboration",
journal = j-TMIS,
volume = "2",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1929916.1929920",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:25 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Dawson:2011:UTA,
author = "Gregory S. Dawson and Richard T. Watson",
title = "Uncovering and testing archetypes of effective public
sector {CIOs}",
journal = j-TMIS,
volume = "2",
number = "1",
pages = "5:1--5:??",
month = mar,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1929916.1929921",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:25 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Dey:2011:CUW,
author = "Debabrata Dey and Ming Fan and Gang Peng",
title = "Computer use and wage returns: {The} complementary
roles of {IT}-related human capital and nonroutine
tasks",
journal = j-TMIS,
volume = "2",
number = "1",
pages = "6:1--6:??",
month = mar,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1929916.1929922",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 28 11:02:25 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Hu:2011:AIS,
author = "Paul Jen-Hwa Hu and Hsinchun Chen",
title = "Analyzing information systems researchers'
productivity and impacts: a perspective on the {$H$}
index",
journal = j-TMIS,
volume = "2",
number = "2",
pages = "7:1--7:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1985347.1985348",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 22 08:37:49 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Bhattacharjee:2011:DGM,
author = "Sudip Bhattacharjee and Ram D. Gopal and James R.
Marsden and Ramesh Sankaranarayanan",
title = "Digital goods and markets: {Emerging} issues and
challenges",
journal = j-TMIS,
volume = "2",
number = "2",
pages = "8:1--8:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1985347.1985349",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 22 08:37:49 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Uhl:2011:EUC,
author = "Matthias W. Uhl",
title = "Explaining {U.S.} consumer behavior with news
sentiment",
journal = j-TMIS,
volume = "2",
number = "2",
pages = "9:1--9:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1985347.1985350",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 22 08:37:49 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Du:2011:RHS,
author = "Anna Ye Du and Sanjukta Das and Ram D. Gopal and R.
Ramesh",
title = "Risk hedging in storage grid markets: {Do} options add
value to forwards?",
journal = j-TMIS,
volume = "2",
number = "2",
pages = "10:1--10:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1985347.1985351",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 22 08:37:49 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Liu:2011:WDW,
author = "Jun Liu and Sudha Ram",
title = "Who does what: {Collaboration} patterns in the
{Wikipedia} and their impact on article quality",
journal = j-TMIS,
volume = "2",
number = "2",
pages = "11:1--11:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1985347.1985352",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 22 08:37:49 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Mcknight:2011:TST,
author = "D. Harrison Mcknight and Michelle Carter and Jason
Bennett Thatcher and Paul F. Clay",
title = "Trust in a specific technology: an investigation of
its components and measures",
journal = j-TMIS,
volume = "2",
number = "2",
pages = "12:1--12:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1985347.1985353",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 22 08:37:49 MDT 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Tuzhilin:2011:KMR,
author = "Alexander Tuzhilin",
title = "Knowledge management revisited: {Old Dogs}, {New}
tricks",
journal = j-TMIS,
volume = "2",
number = "3",
pages = "13:1--13:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019618.2019619",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Nov 6 07:18:27 MST 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Sutanto:2011:ESV,
author = "Juliana Sutanto and Atreyi Kankanhalli and Bernard
Cheng Yian Tan",
title = "Eliciting a sense of virtual community among knowledge
contributors",
journal = j-TMIS,
volume = "2",
number = "3",
pages = "14:1--14:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019618.2019620",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Nov 6 07:18:27 MST 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Peng:2011:LSC,
author = "Jing Peng and Daniel D. Zeng and Zan Huang",
title = "Latent subject-centered modeling of collaborative
tagging: an application in social search",
journal = j-TMIS,
volume = "2",
number = "3",
pages = "15:1--15:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019618.2019621",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Nov 6 07:18:27 MST 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Masud:2011:CBM,
author = "Mohammad M. Masud and Tahseen M. Al-Khateeb and Kevin
W. Hamlen and Jing Gao and Latifur Khan and Jiawei Han
and Bhavani Thuraisingham",
title = "Cloud-based malware detection for evolving data
streams",
journal = j-TMIS,
volume = "2",
number = "3",
pages = "16:1--16:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019618.2019622",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Nov 6 07:18:27 MST 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Schmidt-Rauch:2011:TTA,
author = "Susanne Schmidt-Rauch and Gerhard Schwabe",
title = "From telesales to tele-advisory in travel agencies:
{Business} problems, generic design goals and
requirements",
journal = j-TMIS,
volume = "2",
number = "3",
pages = "17:1--17:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019618.2019623",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Nov 6 07:18:27 MST 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Huang:2011:MTC,
author = "Ke-Wei Huang and Zhuolun Li",
title = "A multilabel text classification algorithm for
labeling risk factors in {SEC} form {10-K}",
journal = j-TMIS,
volume = "2",
number = "3",
pages = "18:1--18:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019618.2019624",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Nov 6 07:18:27 MST 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lin:2011:SPM,
author = "Ming-Chih Lin and Anthony J. T. Lee and Rung-Tai Kao
and Kuo-Tay Chen",
title = "Stock price movement prediction using representative
prototypes of financial reports",
journal = j-TMIS,
volume = "2",
number = "3",
pages = "19:1--19:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019618.2019625",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Nov 6 07:18:27 MST 2011",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Nunamaker:2011:TBV,
author = "Jay F. {Nunamaker, Jr.} and Robert O. Briggs",
title = "Toward a broader vision for {Information Systems}",
journal = j-TMIS,
volume = "2",
number = "4",
pages = "20:1--20:??",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2070710.2070711",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 16 15:06:39 MDT 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In December of 2009, several founders of the
Information Systems (IS) academic discipline gathered
for a panel discussion at the International Conference
on Information Systems to present their visions for the
future of the field, and their comments were summarized
in the inaugural issue of TMIS [Davis et al., 2010; J.
F. J. Nunamaker et al., 1991]. To assure a robust
future, they argued, IS journals, conferences,
reviewers, promotion committees, teachers, researchers,
and curriculum developers must broaden the scope of IS.
This article explores the need for a broader vision to
drive future development of the IS discipline.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Padmanabhan:2011:IOS,
author = "Balaji Padmanabhan and Alan Hevner and Michael Cuenco
and Crystal Shi",
title = "From information to operations: {Service} quality and
customer retention",
journal = j-TMIS,
volume = "2",
number = "4",
pages = "21:1--21:??",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2070710.2070712",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 16 15:06:39 MDT 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In business, information is abundant. Yet, effective
use of that information to inform and drive business
operations is a challenge. Our industry-university
collaborative project draws from a rich dataset of
commercial demographics, transaction history, product
features, and Service Quality Index (SQI) factors on
shipping transactions at FedEx. We apply inductive
methods to understand and predict customer churn in a
noncontractual setting. Results identify several SQI
variables as important determinants of churn across a
variety of analytic approaches. Building on this we
propose the design of a Business Intelligence (BI)
dashboard as an innovative approach for increasing
customer retention by identifying potential churners
based on combinations of predictor variables such as
demographics and SQI factors. This empirical study
contributes to BI research and practice by
demonstrating the application of data analytics to the
fundamental business operations problem of customer
churn.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "21",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Rui:2011:DSB,
author = "Huaxia Rui and Andrew Whinston",
title = "Designing a social-broadcasting-based business
intelligence system",
journal = j-TMIS,
volume = "2",
number = "4",
pages = "22:1--22:??",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2070710.2070713",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 16 15:06:39 MDT 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The rise of social media has fundamentally changed the
way information is produced, disseminated, and consumed
in the digital age, which has profound economic and
business effects. Among many different types of social
media, social broadcasting networks such as Twitter in
the U.S. and `Weibo' in China are particularly
interesting from a business perspective. In the case of
Twitter, the huge amounts of real-time data with
extremely rich text, along with valuable structural
information, makes Twitter a great platform to build
Business Intelligence (BI) systems. We propose a
framework of social-broadcasting-based BI systems that
utilizes real-time information extracted from these
data with text mining techniques. To demonstrate this
framework, we designed and implemented a Twitter-based
BI system that forecasts movie box office revenues
during the opening weekend and forecasts daily revenue
after 4 weeks. We found that incorporating information
from Twitter could reduce the Mean Absolute Percentage
Error (MAPE) by 44\% for the opening weekend and by
36\% for total revenue. For daily revenue forecasting,
including Twitter information into a baseline model
could reduce forecasting errors by 17.5\% on average.
On the basis of these results, we conclude that
social-broadcasting-based BI systems have great
potential and should be explored by both researchers
and practitioners.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "22",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Arora:2011:DSC,
author = "Hina Arora and T. S. Raghu and Ajay Vinze",
title = "Decision support for containing pandemic propagation",
journal = j-TMIS,
volume = "2",
number = "4",
pages = "23:1--23:??",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2070710.2070714",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 16 15:06:39 MDT 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "This research addresses complexities inherent in
dynamic decision making settings represented by global
disasters such as influenza pandemics. By coupling a
theoretically grounded Equation-Based Modeling (EBM)
approach with more practically nuanced Agent-Based
Modeling (ABM) approach we address the inherent
heterogeneity of the `influenza pandemic' decision
space more effectively. In addition to modeling
contributions, results and findings of this study have
three important policy implications for pandemic
containment; first, an effective way of checking the
progression of a pandemic is a multipronged approach
that includes a combination of pharmaceutical and
non-pharmaceutical interventions. Second, mutual aid is
effective only when regions that have been affected by
the pandemic are sufficiently isolated from other
regions through non-pharmaceutical interventions. When
regions are not sufficiently isolated, mutual aid can
in fact be detrimental. Finally, intraregion
non-pharmaceutical interventions such as school
closures are more effective than interregion
nonpharmaceutical interventions such as border
closures.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "23",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Goes:2011:LCA,
author = "Paulo Goes and Noyan Ilk and Wei T. Yue and J. Leon
Zhao",
title = "Live-chat agent assignments to heterogeneous
e-customers under imperfect classification",
journal = j-TMIS,
volume = "2",
number = "4",
pages = "24:1--24:??",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2070710.2070715",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 16 15:06:39 MDT 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Many e-commerce firms provide live-chat capability on
their Web sites to promote product sales and to offer
customer support. With increasing traffic on e-commerce
Web sites, providing such live-chat services requires a
good allocation of service resources to serve the
customers. When resources are limited, firms may
consider employing priority-processing and reserving
resources for high-value customers. In this article, we
model a reserve-based priority-processing policy for
e-commerce systems that have imperfect customer
classification. Two policy decisions considered in the
model are: (1) the number of agents exclusively
reserved for high-value customers, and (2) the
configuration of the classification system. We derive
explicit expressions for average waiting times of
high-value and low-value customer classes and define a
total waiting cost function. Through numerical
analysis, we study the impact of these two policy
decisions on average waiting times and total waiting
costs. Our analysis finds that reserving agents for
high-value customers may have negative consequences for
such customers under imperfect classification. Further,
we study the interaction between the two policy
decisions and discuss how one decision should be
modified with respect to a change in the other one in
order to keep the waiting costs minimized.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "24",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lau:2011:TMP,
author = "Raymond Y. K. Lau and S. Y. Liao and Ron Chi-Wai Kwok
and Kaiquan Xu and Yunqing Xia and Yuefeng Li",
title = "Text mining and probabilistic language modeling for
online review spam detection",
journal = j-TMIS,
volume = "2",
number = "4",
pages = "25:1--25:??",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2070710.2070716",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 16 15:06:39 MDT 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In the era of Web 2.0, huge volumes of consumer
reviews are posted to the Internet every day. Manual
approaches to detecting and analyzing fake reviews
(i.e., spam) are not practical due to the problem of
information overload. However, the design and
development of automated methods of detecting fake
reviews is a challenging research problem. The main
reason is that fake reviews are specifically composed
to mislead readers, so they may appear the same as
legitimate reviews (i.e., ham). As a result,
discriminatory features that would enable individual
reviews to be classified as spam or ham may not be
available. Guided by the design science research
methodology, the main contribution of this study is the
design and instantiation of novel computational models
for detecting fake reviews. In particular, a novel text
mining model is developed and integrated into a
semantic language model for the detection of untruthful
reviews. The models are then evaluated based on a
real-world dataset collected from amazon.com. The
results of our experiments confirm that the proposed
models outperform other well-known baseline models in
detecting fake reviews. To the best of our knowledge,
the work discussed in this article represents the first
successful attempt to apply text mining methods and
semantic language models to the detection of fake
consumer reviews. A managerial implication of our
research is that firms can apply our design artifacts
to monitor online consumer reviews to develop effective
marketing or product design strategies based on genuine
consumer feedback posted to the Internet.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "25",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Marx:2011:SPR,
author = "Frederik Marx and J{\"o}rg H. Mayer and Robert
Winter",
title = "Six principles for redesigning executive information
systems-findings of a survey and evaluation of a
prototype",
journal = j-TMIS,
volume = "2",
number = "4",
pages = "26:1--26:??",
month = dec,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2070710.2070717",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 16 15:06:39 MDT 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Information Systems (IS) meant to help senior managers
are known as Executive Information Systems (EIS).
Despite a five-decade tradition of such IS, many
executives still complain that they bear little
relevance to managing a company and, even more, fail to
accommodate their working style. The increasing
acceptance of IS among today's executives and
technological advances of the Internet era make the
present moment favorable for redesigning EIS. Following
the design science paradigm in IS research, this
article provides six principles for such a redesign. To
do so, we survey executives regarding their
requirements and the IS they currently use. We then
derive principles for a redesign to fill the gaps. They
address diverse areas: a comprehensive information
model, functions to better analyze and process
information, easy-to-use IS handling, a more flexible
IS architecture and data model, a proper information
management, and fast prototype implementation. Finally
a field test demonstrates and evaluates the utility of
our proposal by means of a prototype.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "26",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Niederman:2012:DSA,
author = "Fred Niederman and Salvatore T. March",
title = "Design science and the accumulation of knowledge in
the information systems discipline",
journal = j-TMIS,
volume = "3",
number = "1",
pages = "1:1--1:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2151163.2151164",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:08 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Design science has emerged as an important research
paradigm in the information systems (IS) discipline,
and much has been written on how it should be conducted
and evaluated (e.g., Hevner et al. [2004]; Walls et al.
[1992]; Vaishnavi and Kuechler [2007]; Kuechler and
Vaishnavi [2008]; Peffers et al. [2007]; Iivari [2010];
Pigneur [2011]). We contend that, as a socio-technical
discipline, IS research must address the interaction
between design and behavior. We begin with a background
discussion of what we mean by IS research and the
nature of the relationship between design and
behavioral approaches to IS research. We discuss the
nature of design, design science, and IT artifacts
within information systems research and describe the
importance of linking design and behavioral
perspectives. We illustrate several key points using
selected articles recently published in ACM
Transactions on Management Information Systems
[Schmidt-Rauch and Schwabe 2011; Lau et al. 2011]. We
conclude with a vision of IS research in which the
capabilities and affordances of IT artifacts are
incorporated into behavioral studies; the results of
behavioral studies are utilized in the development and
evaluation of IT artifacts; and both behavioral and
design perspectives are used to address the important
problems of our constituent community.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Basoglu:2012:ERW,
author = "K. Asli Basoglu and Mark A. Fuller and Joseph S.
Valacich",
title = "Enhancement of recall within technology-mediated teams
through the use of online visual artifacts",
journal = j-TMIS,
volume = "3",
number = "1",
pages = "2:1--2:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2151163.2151165",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:08 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Given the distributed nature of modern organizations,
the use of technology-mediated teams is a critical
aspect of their success. These teams use various media
that are arguably less personal than face-to-face
communication. One factor influencing the success of
these teams is their ability to develop an
understanding of who knows what during the initial team
development stage. However, this development of
understanding within dispersed teams may be impeded
because of the limitations of technology-enabled
communication environments. Past research has found
that a limited understanding of team member
capabilities hinders team performance. As such, this
article investigates mechanisms for improving the
recall of individuals within dispersed teams. Utilizing
the input-process-output model to conceptualize the
group interaction process, three input factors-visual
artifacts (i.e., a computer-generated image of each
team member), team size, and work interruptions-are
manipulated to assess their influence on a person's
ability to recall important characteristics of their
virtual team members. Results show that visual
artifacts significantly increase the recall of
individuals' information. However, high-urgency
interruptions significantly deteriorate the recall of
individuals, regardless of the visual artifact or team
size. These findings provide theoretical and practical
implications on knowledge acquisition and project
success within technology-mediated teams.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Adomavicius:2012:IDC,
author = "Gediminas Adomavicius and Jingjing Zhang",
title = "Impact of data characteristics on recommender systems
performance",
journal = j-TMIS,
volume = "3",
number = "1",
pages = "3:1--3:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2151163.2151166",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:08 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "This article investigates the impact of rating data
characteristics on the performance of several popular
recommendation algorithms, including user-based and
item-based collaborative filtering, as well as matrix
factorization. We focus on three groups of data
characteristics: rating space, rating frequency
distribution, and rating value distribution. A sampling
procedure was employed to obtain different rating data
subsamples with varying characteristics; recommendation
algorithms were used to estimate the predictive
accuracy for each sample; and linear regression-based
models were used to uncover the relationships between
data characteristics and recommendation accuracy.
Experimental results on multiple rating datasets show
the consistent and significant effects of several data
characteristics on recommendation accuracy.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Robinson:2012:DDB,
author = "William N. Robinson and Arash Akhlaghi and Tianjie
Deng and Ali Raza Syed",
title = "Discovery and diagnosis of behavioral transitions in
patient event streams",
journal = j-TMIS,
volume = "3",
number = "1",
pages = "4:1--4:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2151163.2151167",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:08 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Users with cognitive impairments use assistive
technology (AT) as part of a clinical treatment plan.
As the AT interface is manipulated, data stream mining
techniques are used to monitor user goals. In this
context, real-time data mining aids clinicians in
tracking user behaviors as they attempt to achieve
their goals. Quality metrics over stream-mined models
identify potential changes in user goal attainment, as
the user learns his or her personalized emailing
system. When the quality of some data-mined models
varies significantly from nearby models-as defined by
quality metrics-the user's behavior is then flagged as
a significant behavioral change. The specific changes
in user behavior are then characterized by differencing
the data-mined decision tree models. This article
describes how model quality monitoring and decision
tree differencing can aid in recognition and diagnoses
of behavioral changes in a case study of cognitive
rehabilitation via emailing. The technique may be more
widely applicable to other real-time data-intensive
analysis problems.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zhang:2012:DWM,
author = "Zhu Zhang and Xin Li and Yubo Chen",
title = "Deciphering word-of-mouth in social media: Text-based
metrics of consumer reviews",
journal = j-TMIS,
volume = "3",
number = "1",
pages = "5:1--5:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2151163.2151168",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:08 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Enabled by Web 2.0 technologies, social media provide
an unparalleled platform for consumers to share their
product experiences and opinions through word-of-mouth
(WOM) or consumer reviews. It has become increasingly
important to understand how WOM content and metrics
influence consumer purchases and product sales. By
integrating marketing theories with text mining
techniques, we propose a set of novel measures that
focus on sentiment divergence in consumer product
reviews. To test the validity of these metrics, we
conduct an empirical study based on data from
Amazon.com and BN.com (Barnes {\&} Noble). The results
demonstrate significant effects of our proposed
measures on product sales. This effect is not fully
captured by nontextual review measures such as
numerical ratings. Furthermore, in capturing the sales
effect of review content, our divergence metrics are
shown to be superior to and more appropriate than some
commonly used textual measures the literature. The
findings provide important insights into the business
impact of social media and user-generated content, an
emerging problem in business intelligence research.
From a managerial perspective, our results suggest that
firms should pay special attention to textual content
information when managing social media and, more
importantly, focus on the right measures.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Malhotra:2012:HVT,
author = "Arvind Malhotra and Ann Majchrzak",
title = "How virtual teams use their virtual workspace to
coordinate knowledge",
journal = j-TMIS,
volume = "3",
number = "1",
pages = "6:1--6:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2151163.2151169",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:08 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Virtual team members increasingly rely on virtual
workspace tools to coordinate knowledge that each
individual brings to the team. How the use of these
tools affects knowledge coordination within virtual
teams is not well understood. We distinguish between
tools as features and the use of the virtual workspace
as providing affordances for behaviors. Using
situational awareness theory, we hypothesized two
affordances of virtual workspaces that facilitate
knowledge coordination. Using trading zone theory, we
hypothesized two forms of trading zones created by
features of virtual workspaces and the impact of these
trading zones on the creation of affordances for team
members. Members of 54 teams were asked about the
affordances of the virtual workspace, and team leaders
were asked about specific tools provided to the team.
Our hypothesized model was supported: the different
forms of trading zones were differentially related to
the different affordances and on affordances were
related to knowledge coordination satisfaction.
Theoretical implications focus on the distinction
between features and affordances and on the
identification of specific features that affect
specific affordances. Practical implications for
managers and engineers supporting virtual teams include
the utility of becoming knowledgeable about different
forms of trading zones that virtual workspaces can
provide and understanding the relationship between
trading zones and different affordances.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{vanderAalst:2012:PMO,
author = "Wil van der Aalst",
title = "Process Mining: Overview and Opportunities",
journal = j-TMIS,
volume = "3",
number = "2",
pages = "7:1--7:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2229156.2229157",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:09 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Over the last decade, process mining emerged as a new
research field that focuses on the analysis of
processes using event data. Classical data mining
techniques such as classification, clustering,
regression, association rule learning, and
sequence/episode mining do not focus on business
process models and are often only used to analyze a
specific step in the overall process. Process mining
focuses on end-to-end processes and is possible because
of the growing availability of event data and new
process discovery and conformance checking techniques.
Process models are used for analysis (e.g., simulation
and verification) and enactment by BPM/WFM systems.
Previously, process models were typically made by hand
without using event data. However, activities executed
by people, machines, and software leave trails in
so-called event logs. Process mining techniques use
such logs to discover, analyze, and improve business
processes. Recently, the Task Force on Process Mining
released the Process Mining Manifesto. This manifesto
is supported by 53 organizations and 77 process mining
experts contributed to it. The active involvement of
end-users, tool vendors, consultants, analysts, and
researchers illustrates the growing significance of
process mining as a bridge between data mining and
business process modeling. The practical relevance of
process mining and the interesting scientific
challenges make process mining one of the ``hot''
topics in Business Process Management (BPM). This
article introduces process mining as a new research
field and summarizes the guiding principles and
challenges described in the manifesto.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Shan:2012:OAC,
author = "Zhe Shan and Akhil Kumar",
title = "Optimal Adapter Creation for Process Composition in
Synchronous vs. Asynchronous Communication",
journal = j-TMIS,
volume = "3",
number = "2",
pages = "8:1--8:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2229156.2229160",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:09 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "A key issue in process-aware e-commerce collaboration
is to orchestrate business processes of multiple
business partners throughout a supply chain network in
an automated and seamless way. Since each partner has
its own internal processes with different control flow
structures and message interfaces, the real challenge
lies in verifying the correctness of process
collaboration, and reconciling conflicts in an
automated manner to make collaboration successful. The
purpose of business process adaptation is to mediate
the communication between independent processes to
overcome their mismatches and incompatibilities. The
goal of this article is to develop and compare
efficient approaches of optimal adapter (i.e. one that
minimizes the number of messages to be adapted)
creation for multiple interacting processes under both
synchronous and asynchronous communication. We start
with an analysis of interactions of each message pair,
and show how to identify incompatible cases and their
adaptation elements for both types of communication.
Then, we show how to extend this analysis into more
general cases involving M messages and N processes ( M,
N {$>$} 2). Further, we present optimal adapter
creation algorithms for both scenarios based on our
analysis technique. The algorithms were implemented in
a Java-based prototype system, and results of two
experiments are reported. We compare and discuss the
insights gained about adapter creation in these two
scenarios.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Huang:2012:TNP,
author = "Zan Huang and Huimin Zhao and Dan Zhu",
title = "Two New Prediction-Driven Approaches to Discrete
Choice Prediction",
journal = j-TMIS,
volume = "3",
number = "2",
pages = "9:1--9:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2229156.2229159",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:09 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The ability to predict consumer choices is essential
in understanding the demand structure of products and
services. Typical discrete choice models that are
targeted at providing an understanding of the
behavioral process leading to choice outcomes are
developed around two main assumptions: the existence of
a utility function that represents the preferences over
a choice set and the relatively simple and
interpretable functional form for the utility function
with respect to attributes of alternatives and decision
makers. These assumptions lead to models that can be
easily interpreted to provide insights into the effects
of individual variables, such as price and promotion,
on consumer choices. However, these restrictive
assumptions might impede the ability of such
theory-driven models to deliver accurate predictions
and forecasts. In this article, we develop novel
approaches targeted at providing more accurate choice
predictions. Specifically, we propose two
prediction-driven approaches: pairwise preference
learning using classification techniques and ranking
function learning using evolutionary computation. We
compare our proposed approaches with a multiclass
classification approach, as well as a standard discrete
choice model. Our empirical results show that the
proposed approaches achieved significantly higher
choice prediction accuracy.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Ngo-Ye:2012:AOR,
author = "Thomas L. Ngo-Ye and Atish P. Sinha",
title = "Analyzing Online Review Helpfulness Using a
Regressional {ReliefF}-Enhanced Text Mining Method",
journal = j-TMIS,
volume = "3",
number = "2",
pages = "10:1--10:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2229156.2229158",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:09 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Within the emerging context of Web 2.0 social media,
online customer reviews are playing an increasingly
important role in disseminating information,
facilitating trust, and promoting commerce in the
e-marketplace. The sheer volume of customer reviews on
the web produces information overload for readers.
Developing a system that can automatically identify the
most helpful reviews would be valuable to businesses
that are interested in gathering informative and
meaningful customer feedback. Because the target
variable---review helpfulness---is continuous, common
feature selection techniques from text classification
cannot be applied. In this article, we propose and
investigate a text mining model, enhanced using the
Regressional ReliefF (RReliefF) feature selection
method, for predicting the helpfulness of online
reviews from Amazon.com. We find that RReliefF
significantly outperforms two popular dimension
reduction methods. This study is the first to
investigate and compare different dimension reduction
techniques in the context of applying text regression
for predicting online review helpfulness. Another
contribution is that our analysis of the keywords
selected by RReliefF reveals meaningful feature
groupings.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Nussbaumer:2012:EVC,
author = "Philipp Nussbaumer and Inu Matter and Gerhard
Schwabe",
title = "``Enforced'' vs. ``Casual'' Transparency --- Findings
from {IT}-Supported Financial Advisory Encounters",
journal = j-TMIS,
volume = "3",
number = "2",
pages = "11:1--11:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2229156.2229161",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:09 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In sales-oriented service encounters like financial
advice, the client may perceive information and
interest asymmetries as a lack of transparency
regarding the advisor's activities. In this article, we
will discuss two design iterations of a supportive
tabletop application that we built to increase process
and information transparency as compared to the
traditional pen and paper encounters. While the first
iteration's design was ``enforcing'' transparency and
therefore proved to be a failure [Nussbaumer et al.
2011], we built the second iteration on design
rationales enabling more ``casual'' transparency.
Experimental evaluations show that the redesigned
system significantly increases the client's perceived
transparency, her perceived control of the encounter
and improves her perceived trustworthiness of and
satisfaction with the encounter. With these findings,
we contribute to (1) insight into the role of
transparency advisory encounter design; (2) design
solutions for establishing particular facets of
transparency and their potential instantiations in
tabletop systems; and (3) insight into the process of
designing for transparency with socio-technical
artifacts that are emergent as a result of design
activities.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Chiang:2012:BIA,
author = "Roger H. L. Chiang and Paulo Goes and Edward A.
Stohr",
title = "Business Intelligence and Analytics Education, and
Program Development: a Unique Opportunity for the
Information Systems Discipline",
journal = j-TMIS,
volume = "3",
number = "3",
pages = "12:1--12:??",
month = oct,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2361256.2361257",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:10 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "``Big Data,'' huge volumes of data in both structured
and unstructured forms generated by the Internet,
social media, and computerized transactions, is
straining our technical capacity to manage it. More
importantly, the new challenge is to develop the
capability to understand and interpret the burgeoning
volume of data to take advantage of the opportunities
it provides in many human endeavors, ranging from
science to business. Data Science, and in business
schools, Business Intelligence and Analytics (BI{\&}A)
are emerging disciplines that seek to address the
demands of this new era. Big Data and BI{\&}A present
unique challenges and opportunities not only for the
research community, but also for Information Systems
(IS) programs at business schools. In this essay, we
provide a brief overview of BI{\&}A, speculate on the
role of BI{\&}A education in business schools, present
the challenges facing IS departments, and discuss the
role of IS curricula and program development, in
delivering BI{\&}A education. We contend that a new
vision for the IS discipline should address these
challenges.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Achananuparp:2012:WRT,
author = "Palakorn Achananuparp and Ee-Peng Lim and Jing Jiang
and Tuan-Anh Hoang",
title = "Who is Retweeting the Tweeters? {Modeling},
Originating, and Promoting Behaviors in the {Twitter}
Network",
journal = j-TMIS,
volume = "3",
number = "3",
pages = "13:1--13:??",
month = oct,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2361256.2361258",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:10 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Real-time microblogging systems such as Twitter offer
users an easy and lightweight means to exchange
information. Instead of writing formal and lengthy
messages, microbloggers prefer to frequently broadcast
several short messages to be read by other users. Only
when messages are interesting, are they propagated
further by the readers. In this article, we examine
user behavior relevant to information propagation
through microblogging. We specifically use retweeting
activities among Twitter users to define and model
originating and promoting behavior. We propose a basic
model for measuring the two behaviors, a mutual
dependency model, which considers the mutual
relationships between the two behaviors, and a
range-based model, which considers the depth and reach
of users' original tweets. Next, we compare the three
behavior models and contrast them with the existing
work on modeling influential Twitter users. Last, to
demonstrate their applicability, we further employ the
behavior models to detect interesting events from
sudden changes in aggregated information propagation
behavior of Twitter users. The results will show that
the proposed behavior models can be effectively applied
to detect interesting events in the Twitter stream,
compared to the baseline tweet-based approaches.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lu:2012:CRC,
author = "Hsin-Min Lu and Feng-Tse Tsai and Hsinchun Chen and
Mao-Wei Hung and Shu-Hsing Li",
title = "Credit Rating Change Modeling Using News and Financial
Ratios",
journal = j-TMIS,
volume = "3",
number = "3",
pages = "14:1--14:??",
month = oct,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2361256.2361259",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:10 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Credit ratings convey credit risk information to
participants in financial markets, including investors,
issuers, intermediaries, and regulators. Accurate
credit rating information plays a crucial role in
supporting sound financial decision-making processes.
Most previous studies on credit rating modeling are
based on accounting and market information. Text data
are largely ignored despite the potential benefit of
conveying timely information regarding a firm's
outlook. To leverage the additional information in news
full-text for credit rating prediction, we designed and
implemented a news full-text analysis system that
provides firm-level coverage, topic, and sentiment
variables. The novel topic-specific sentiment variables
contain a large fraction of missing values because of
uneven news coverage. The missing value problem creates
a new challenge for credit rating prediction
approaches. We address this issue by developing a
missing-tolerant multinomial probit (MT-MNP) model,
which imputes missing values based on the Bayesian
theoretical framework. Our experiments using seven and
a half years of real-world credit ratings and news
full-text data show that (1) the overall news coverage
can explain future credit rating changes while the
aggregated news sentiment cannot; (2) topic-specific
news coverage and sentiment have statistically
significant impact on future credit rating changes; (3)
topic-specific negative sentiment has a more salient
impact on future credit rating changes compared to
topic-specific positive sentiment; (4) MT-MNP performs
better in predicting future credit rating changes
compared to support vector machines (SVM). The
performance gap as measured by macroaveraging F-measure
is small but consistent.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Wei:2012:UNA,
author = "Wei Wei and Sudha Ram",
title = "Using a Network Analysis Approach for Organizing
Social Bookmarking Tags and Enabling {Web} Content
Discovery",
journal = j-TMIS,
volume = "3",
number = "3",
pages = "15:1--15:??",
month = oct,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2361256.2361260",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:10 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "This article describes an innovative approach to
reorganizing the tag space generated by social
bookmarking services. The objective of this work is to
enable effective search and discovery of Web content
using social bookmarking tags. Tags are metadata
generated by users for Web content annotation. Their
potential as effective Web search and discovery tool is
hindered by challenges such as, the tag space being
untidy due to ambiguity, and hidden or implicit
semantics. Using a novel analytics approach, we
conducted network analyses on tags and discovered that
tags are generated for different purposes and that
there are inherent relationships among tags. Our
approach can be used to extract the purposes of tags
and relationships among the tags and this information
can be used as facets to add structure and hierarchy to
reorganize the flat tag space. The semantics of
relationships and hierarchy in our proposed faceted
model of tags enable searches on annotated Web content
in an effective manner. We describe the implementation
of a prototype system called FASTS to demonstrate
feasibility and effectiveness of our approach.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Hu:2012:DVP,
author = "Nan Hu and Hasan Cavusoglu and Ling Liu and Chenkai
Ni",
title = "Do Vendors' Pricing Decisions Fully Reflect
Information in Online Reviews?",
journal = j-TMIS,
volume = "3",
number = "3",
pages = "16:1--16:??",
month = oct,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2361256.2361261",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Nov 6 19:02:10 MST 2012",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "By using online retail data collected from Amazon,
Barnes {\&} Nobel, and Pricegrabber, this paper
investigates whether online vendors' pricing decisions
fully reflect the information contained in various
components of customers' online reviews. The findings
suggest that there is inefficiency in vendors' pricing
decisions. Specifically, vendors do not appear to fully
understand the incremental predictive power of online
reviews in forecasting future sales when they adjust
their prices. However, they do understand demand
persistence. Interestingly, vendors reduce price if the
actual demand is higher than the expected demand
(positive demand shock). This phenomenon is attributed
to the advertising effect suggested in previous
literature and the intense competitiveness of
e-Commerce. Finally, we document that vendors do not
change their prices directly in response to online
reviews; their response to online reviews is through
forecasting consumer's future demand.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lim:2013:BIA,
author = "Ee-Peng Lim and Hsinchun Chen and Guoqing Chen",
title = "Business Intelligence and Analytics: Research
Directions",
journal = j-TMIS,
volume = "3",
number = "4",
pages = "17:1--17:??",
month = jan,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2407740.2407741",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 30 18:40:39 MDT 2013",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Business intelligence and analytics (BIA) is about the
development of technologies, systems, practices, and
applications to analyze critical business data so as to
gain new insights about business and markets. The new
insights can be used for improving products and
services, achieving better operational efficiency, and
fostering customer relationships. In this article, we
will categorize BIA research activities into three
broad research directions: (a) big data analytics, (b)
text analytics, and (c) network analytics. The article
aims to review the state-of-the-art techniques and
models and to summarize their use in BIA applications.
For each research direction, we will also determine a
few important questions to be addressed in future
research.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zhang:2013:CMS,
author = "Bin Zhang and Andrew C. Thomas and Patrick Doreian and
David Krackhardt and Ramayya Krishnan",
title = "Contrasting Multiple Social Network Autocorrelations
for Binary Outcomes, With Applications To Technology
Adoption",
journal = j-TMIS,
volume = "3",
number = "4",
pages = "18:1--18:??",
month = jan,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2407740.2407742",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 30 18:40:39 MDT 2013",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The rise of socially targeted marketing suggests that
decisions made by consumers can be predicted not only
from their personal tastes and characteristics, but
also from the decisions of people who are close to them
in their networks. One obstacle to consider is that
there may be several different measures for closeness
that are appropriate, either through different types of
friendships, or different functions of distance on one
kind of friendship, where only a subset of these
networks may actually be relevant. Another is that
these decisions are often binary and more difficult to
model with conventional approaches, both conceptually
and computationally. To address these issues, we
present a hierarchical auto-probit model for individual
binary outcomes that uses and extends the machinery of
the auto-probit method for binary data. We demonstrate
the behavior of the parameters estimated by the
multiple network-regime auto-probit model (m-NAP) under
various sensitivity conditions, such as the impact of
the prior distribution and the nature of the structure
of the network. We also demonstrate several examples of
correlated binary data outcomes in networks of interest
to information systems, including the adoption of
caller ring-back tones, whose use is governed by direct
connection but explained by additional network
topologies.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Pervin:2013:FSC,
author = "Nargis Pervin and Fang Fang and Anindya Datta and
Kaushik Dutta and Debra Vandermeer",
title = "Fast, Scalable, and Context-Sensitive Detection of
Trending Topics in Microblog Post Streams",
journal = j-TMIS,
volume = "3",
number = "4",
pages = "19:1--19:??",
month = jan,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2407740.2407743",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 30 18:40:39 MDT 2013",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Social networks, such as Twitter, can quickly and
broadly disseminate news and memes across both
real-world events and cultural trends. Such networks
are often the best sources of up-to-the-minute
information, and are therefore of considerable
commercial and consumer interest. The trending topics
that appear first on these networks represent an answer
to the age-old query ``what are people talking about?''
Given the incredible volume of posts (on the order of
45,000 or more per minute), and the vast number of
stories about which users are posting at any given
time, it is a formidable problem to extract trending
stories in real time. In this article, we describe a
method and implementation for extracting trending
topics from a high-velocity real-time stream of
microblog posts. We describe our approach and
implementation, and a set of experimental results that
show that our system can accurately find ``hot''
stories from high-rate Twitter-scale text streams.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zhang:2013:PCN,
author = "Zhu Zhang and Chenhui Guo and Paulo Goes",
title = "Product Comparison Networks for Competitive Analysis
of Online Word-of-Mouth",
journal = j-TMIS,
volume = "3",
number = "4",
pages = "20:1--20:??",
month = jan,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2407740.2407744",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 30 18:40:39 MDT 2013",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Enabled by Web 2.0 technologies social media provide
an unparalleled platform for consumers to share their
product experiences and opinions---through
word-of-mouth (WOM) or consumer reviews. It has become
increasingly important to understand how WOM content
and metrics thereof are related to consumer purchases
and product sales. By integrating network analysis with
text sentiment mining techniques, we propose product
comparison networks as a novel construct, computed from
consumer product reviews. To test the validity of these
product ranking measures, we conduct an empirical study
based on a digital camera dataset from Amazon.com. The
results demonstrate significant linkage between
network-based measures and product sales, which is not
fully captured by existing review measures such as
numerical ratings. The findings provide important
insights into the business impact of social media and
user-generated content, an emerging problem in business
intelligence research. From a managerial perspective,
our results suggest that WOM in social media also
constitutes a competitive landscape for firms to
understand and manipulate.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Yaraghi:2013:NEH,
author = "Niam Yaraghi and Anna Ye Du and Raj Sharman and Ram D.
Gopal and R. Ramesh",
title = "Network Effects in Health Information Exchange
Growth",
journal = j-TMIS,
volume = "4",
number = "1",
pages = "1:1--1:??",
month = apr,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2445560.2445561",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 30 18:40:41 MDT 2013",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The importance of the Healthcare Information Exchange
(HIE) in increasing healthcare quality and reducing
risks and costs has led to greater interest in
identifying factors that enhance adoption and
meaningful use of HIE by healthcare providers. In this
research we study the interlinked network effects
between two different groups of physicians --- primary
care physicians and specialists --- as significant
factors in increasing the growth of each group in an
exchange. An analytical model of interlinked and
intragroup influences on adoption is developed using
the Bass diffusion model as a basis. Adoption data on
1,060 different primary and secondary care physicians
over 32 consecutive months was used to test the model.
The results indicate not only the presence of
interlinked effects, but also that their influence is
stronger than that of the intragroup. Further, the
influence of primary care physicians on specialists is
stronger than that of specialists on primary care
physicians. We also provide statistical evidence that
the new model performs better than the conventional
Bass model, and the assumptions of diffusion symmetry
in the market are statistically valid. Together, the
findings provide important guidelines on triggers that
enhance the overall growth of HIE and potential
marketing strategies for HIE services.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Valecha:2013:DMC,
author = "Rohit Valecha and Raj Sharman and H. Raghav Rao and
Shambhu Upadhyaya",
title = "A Dispatch-Mediated Communication Model for Emergency
Response Systems",
journal = j-TMIS,
volume = "4",
number = "1",
pages = "2:1--2:??",
month = apr,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2445560.2445562",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 30 18:40:41 MDT 2013",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The current state of emergency communication is
dispatch-mediated (the messages from the scene are
directed towards the responders and agencies through
the dispatch agency). These messages are logged in
electronic documents called incident reports, which are
useful in monitoring the incident, off-site
supervision, resource allocation, and post-incident
analysis. However, these messages do not adhere to any
particular structure, and there is no set format. The
lack of standards creates a problem for sharing
information among systems and responders and has a
detrimental impact on systems interoperability. In this
article, we develop a National Information Exchange
Model (NIEM) and Universal Core (UCORE) compliant
messaging model, considering message structures and
formats, to foster message standardization.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Choi:2013:ISI,
author = "Jae Choi and Derek L. Nazareth and Hemant K. Jain",
title = "The Impact of {SOA} Implementation on {IT}-Business
Alignment: a System Dynamics Approach",
journal = j-TMIS,
volume = "4",
number = "1",
pages = "3:1--3:??",
month = apr,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2445560.2445563",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 30 18:40:41 MDT 2013",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "With firms facing intense rivalry, globalization, and
time-to-market pressures, the need for organizational
agility assumes greater importance. One of the primary
vehicles for achieving organizational agility is the
use of agile information systems [IS] and the close
alignment of information technologies [IT] with
business. However, IS is often viewed as an impediment
to organization agility. Recently, service-oriented
architecture [SOA] has emerged as a prominent IS
agility-enhancing technology. The fundamental question
of how SOA can enhance organization agility and foster
closer alignment between IT and business has not been
adequately addressed. The dynamic interaction among
external business environmental factors, organizational
agility, and IS architecture makes the process of
keeping IT and business aligned more complex. This
study uses a design science approach to build a system
dynamics model to examine the effect of employing
alternative SOA implementation strategies in various
organizational and external business environments on
the IT business alignment and IS cost. The results
provide insights into the shaping of IT-business
alignment. Additionally, the system dynamics model
serves as a tool for supporting managerial decisions
related to SOA implementation.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Ullah:2013:SRB,
author = "Azmat Ullah and Richard Lai",
title = "A Systematic Review of Business and Information
Technology Alignment",
journal = j-TMIS,
volume = "4",
number = "1",
pages = "4:1--4:??",
month = apr,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2445560.2445564",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 30 18:40:41 MDT 2013",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Business organizations have become heavily dependent
on information technology (IT) services. The process of
alignment is defined as the mutual synchronization of
business goals and IT services. However, achieving
mature alignment between business and IT is difficult
due to the rapid changes in the business and IT
environments. This article provides a systematic review
of studies on the alignment of business and IT. The
research articles reviewed are based on topics of
alignment, the definition of alignment, history,
alignment challenges, phases of alignment, alignment
measurement approaches, the importance of alignment in
business industries, how software engineering helps in
better alignment, and the role of the business
environment in aligning business with IT. It aims to
present a thorough understanding of business-IT
alignment and to provide a list of future research
directions regarding alignment. To perform the
systematic review, we used the guidelines developed by
Kitchenham for reviewing the available research papers
relevant to our topic.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Gill:2013:FUM,
author = "T. Grandon Gill and Alan R. Hevner",
title = "A Fitness-Utility Model for Design Science Research",
journal = j-TMIS,
volume = "4",
number = "2",
pages = "5:1--5:??",
month = aug,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2499962.2499963",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:56 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Current thinking in design science research (DSR)
defines the usefulness of the design artifact in a
relevant problem environment as the primary research
goal. Here we propose a complementary evaluation model
for DSR. Drawing from evolutionary economics, we define
a fitness-utility model that better captures the
evolutionary nature of design improvements and the
essential DSR nature of searching for a satisfactory
design across a fitness landscape. Our goal is to move
DSR to more meaningful evaluations of design artifacts
for sustainable impacts. A key premise of this new
thinking is that the evolutionary fitness of a design
artifact is more valuable than its immediate
usefulness. We conclude with a discussion of the
strengths and challenges of the fitness-utility model
for the performance of rigorous and relevant DSR.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Wu:2013:DKM,
author = "Jiming Wu and Clyde W. Holsapple",
title = "Does Knowledge Management Matter? {The} Empirical
Evidence from Market-Based Valuation",
journal = j-TMIS,
volume = "4",
number = "2",
pages = "6:1--6:??",
month = aug,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2500750",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:56 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Information technology is inseparable from
contemporary knowledge management (KM). Although
anecdotal evidence and individual case studies suggest
that effective knowledge management initiatives
contribute to superior firm performance, other kinds of
empirical investigations are scarce, and more to the
point, most of them are based on perceptions of survey
participants embedded in the firms being studied.
Moreover, studies analyzing the question of whether
superior KM performance can predict superior
market-based valuation appear to be virtually
nonexistent. Findings of such studies would be of value
to those who champion and direct a firm's KM efforts,
and to the firm's strategists, planners, and
operational managers. Here, we empirically examine the
relationship between KM performance and firm valuation;
the former is assessed by international panels of
independent KM experts and the latter is evaluated in
terms of market-based measures. Based on data spanning
eight years, the results show that superior KM
performance has a statistically significant positive
association with firm valuation in terms of Tobin's q,
price-to-book ratio, and price-to-sales ratio. This
study contributes to the management literature by using
independent expert judges and archival data to
substantiate the notion that KM competencies are an
important ingredient in a firm's performance as
indicated by market-based valuation.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Orman:2013:BIT,
author = "Levent V. Orman",
title = "{Bayesian} Inference in Trust Networks",
journal = j-TMIS,
volume = "4",
number = "2",
pages = "7:1--7:??",
month = aug,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2489790",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:56 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Trust has emerged as a major impediment to the success
of electronic markets and communities where interaction
with the strangers is the norm. Social Networks and
Online Communities enable interaction with complete
strangers, and open up new commercial, political, and
social possibilities. But those promises are rarely
achieved because it is difficult to trust the online
contacts. A common approach to remedy this problem is
to compute trust values for the new contacts from the
existing trust values in the network. There are two
main methods: aggregation and transitivity. Yet,
neither method provides satisfactory results because
trust networks are sparse and transitivity may not
hold. This article develops a Bayesian formulation of
the problem, where trust is defined as a conditional
probability, and a Bayesian Network analysis is
employed to compute the unknown trust values in terms
of the known trust values. The algorithms used to
propagate conditional probabilities through the network
are theoretically sound and based on a long-standing
literature on probability propagation in Bayesian
networks. Moreover, the context information that is
typically ignored in trust literature is included here
as a major factor in computing new trust values. These
changes have led to significant improvements over
existing approaches in the accuracy of computed trust,
and with some modifications to the algorithm, in its
reach. Real data acquired from Advogato network is used
to do extensive testing, and the results confirm the
practical value of a theoretically sound Bayesian
approach.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zhang:2013:RWM,
author = "Zhu Zhang and Daniel D. Zeng and Ahmed Abbasi and Jing
Peng and Xiaolong Zheng",
title = "A Random Walk Model for Item Recommendation in Social
Tagging Systems",
journal = j-TMIS,
volume = "4",
number = "2",
pages = "8:1--8:??",
month = aug,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2490860",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:56 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Social tagging, as a novel approach to information
organization and discovery, has been widely adopted in
many Web 2.0 applications. Tags contributed by users to
annotate a variety of Web resources or items provide a
new type of information that can be exploited by
recommender systems. Nevertheless, the sparsity of the
ternary interaction data among users, items, and tags
limits the performance of tag-based recommendation
algorithms. In this article, we propose to deal with
the sparsity problem in social tagging by applying
random walks on ternary interaction graphs to explore
transitive associations between users and items. The
transitive associations in this article refer to the
path of the link between any two nodes whose length is
greater than one. Taking advantage of these transitive
associations can allow more accurate measurement of the
relevance between two entities (e.g., user-item,
user-user, and item-item). A PageRank-like algorithm
has been developed to explore these transitive
associations by spreading users' preferences on an item
similarity graph and spreading items' influences on a
user similarity graph. Empirical evaluation on three
real-world datasets demonstrates that our approach can
effectively alleviate the sparsity problem and improve
the quality of item recommendation.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Derrick:2013:DDC,
author = "Douglas C. Derrick and Thomas O. Meservy and Jeffrey
L. Jenkins and Judee K. Burgoon and Jay F. {Nunamaker,
Jr.}",
title = "Detecting Deceptive Chat-Based Communication Using
Typing Behavior and Message Cues",
journal = j-TMIS,
volume = "4",
number = "2",
pages = "9:1--9:??",
month = aug,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2499962.2499967",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:56 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Computer-mediated deception is prevalent and may have
serious consequences for individuals, organizations,
and society. This article investigates several metrics
as predictors of deception in synchronous chat-based
environments, where participants must often
spontaneously formulate deceptive responses. Based on
cognitive load theory, we hypothesize that deception
influences response time, word count, lexical
diversity, and the number of times a chat message is
edited. Using a custom chatbot to conduct interviews in
an experiment, we collected 1,572 deceitful and 1,590
truthful chat-based responses. The results of the
experiment confirm that deception is positively
correlated with response time and the number of edits
and negatively correlated to word count. Contrary to
our prediction, we found that deception is not
significantly correlated with lexical diversity.
Furthermore, the age of the participant moderates the
influence of deception on response time. Our results
have implications for understanding deceit in
chat-based communication and building
deception-detection decision aids in chat-based
systems.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Sarker:2013:MOB,
author = "Suprateek Sarker and Suranjan Chakraborty and Patriya
Silpakit Tansuhaj and Mark Mulder and Kivilcim
Dogerlioglu-Demir",
title = "The {``Mail-Order-Bride'' (MOB)} Phenomenon in the
Cyberworld: an Interpretive Investigation",
journal = j-TMIS,
volume = "4",
number = "3",
pages = "10:1--10:??",
month = oct,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2524263",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:58 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Information technology (IT) is often an enabler in
bringing people together. In the context of this study,
IT helps connect matchmaking service providers with
those looking for love, particularly when a male seeks
to meet and possibly marry a female from another
country: a process which results in over 16,500 such
`mail-order-bride' (MOB) marriages a year in the United
States alone. Past research in business disciplines has
been largely silent about the way in which this process
unfolds, the perspectives of the participants at
different points of time, and the role of IT underlying
the MOB matchmaking service. Adopting an interpretivist
stance, and utilizing some of the methodological
guidelines associated with the Grounded Theory
Methodology (GTM), we develop a process model which
highlights: (a) the key states of the process through
which the relationship between the MOB seeker (the man)
and the MOB (the woman) unfolds, (b) the transitions
between states, and (c) the triggering conditions for
the transitions from one state to another. This study
also highlights key motivations of the individuals
participating in the MOB process, the effect of power
and the role it plays in the dynamics of the
relationships, the status of women and how their status
evolves during the MOB process, and the unique
affordance provided by IT as the relationships
evolve.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Kasiri:2013:ROS,
author = "Narges Kasiri and Ramesh Sharda",
title = "Real Options and System Dynamics for Information
Technology Investment Decisions: Application to {RFID}
Adoption in Retail",
journal = j-TMIS,
volume = "4",
number = "3",
pages = "11:1--11:??",
month = oct,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2517309",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:58 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "We propose a unique combination of system dynamics and
real options into a robust and innovative model for
analyzing return on investments in IT. Real options
modeling allows a cost benefit analysis to take into
account managerial flexibilities when there is
uncertainty in the investment, while system dynamics
can build a predictive model, in which one can simulate
different real-life and hypothetical scenarios in order
to provide measurements that can be used in the real
options model. Our return on the investment model
combines these long-established quantitative techniques
in a novel manner. This study applies this robust
hybrid model to a challenging IT investment problem:
adoption of RFID in retail. Item-level RFID is the next
generation of identification technology in the retail
sector. Our method can help managers to overcome the
complexity and uncertainties in the investment timing
of this technology. We analyze the RFID considerations
in retail decision-making using real data compiled from
a Delphi study. Our model demonstrates how the cost and
benefits of such an investment change over time. The
results highlight the variable cost of RFID tags as the
key factor in the decision process concerning whether
to immediately adopt or postpone the use of RFID in
retail. Our exploratory work suggests that it is
possible to combine merchandising and pricing issues in
addition to the traditional supply chain management
issues in studying any multifaceted problem in
retail.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Mathew:2013:DPP,
author = "George Mathew and Zoran Obradovic",
title = "Distributed Privacy-Preserving Decision Support System
for Highly Imbalanced Clinical Data",
journal = j-TMIS,
volume = "4",
number = "3",
pages = "12:1--12:??",
month = oct,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2517310",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:58 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "When a medical practitioner encounters a patient with
rare symptoms that translates to rare occurrences in
the local database, it is quite valuable to draw
conclusions collectively from such occurrences in other
hospitals. However, for such rare conditions, there
will be a huge imbalance in classes among the relevant
base population. Due to regulations and privacy
concerns, collecting data from other hospitals will be
problematic. Consequently, distributed decision support
systems that can use just the statistics of data from
multiple hospitals are valuable. We present a system
that can collectively build a distributed
classification model dynamically without the need of
patient data from each site in the case of imbalanced
data. The system uses a voting ensemble of experts for
the decision model. The imbalance condition and number
of experts can be determined by the system. Since only
statistics of the data and no raw data are required by
the system, patient privacy issues are addressed. We
demonstrate the outlined principles using the
Nationwide Inpatient Sample (NIS) database. Results of
experiments conducted on 7,810,762 patients from 1050
hospitals show improvement of 13.68\% to 24.46\% in
balanced prediction accuracy using our model over the
baseline model, illustrating the effectiveness of the
proposed methodology.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Sakata:2013:IEE,
author = "Masato Sakata and Zeynep Y{\"u}cel and Kazuhiko
Shinozawa and Norihiro Hagita and Michita Imai and
Michiko Furutani and Rumiko Matsuoka",
title = "An Inference Engine for Estimating Outside States of
Clinical Test Items",
journal = j-TMIS,
volume = "4",
number = "3",
pages = "13:1--13:??",
month = oct,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2517084",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:58 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Common periodical health check-ups include several
clinical test items with affordable cost. However,
these standard tests do not directly indicate signs of
most lifestyle diseases. In order to detect such
diseases, a number of additional specific clinical
tests are required, which increase the cost of the
health check-up. This study aims to enrich our
understanding of the common health check-ups and
proposes a way to estimate the signs of several
lifestyle diseases based on the standard tests in
common examinations without performing any additional
specific tests. In this manner, we enable a diagnostic
process, where the physician may prefer to perform or
avoid a costly test according to the estimation carried
out through a set of common affordable tests. To that
end, the relation between standard and specific test
results is modeled with a multivariate kernel density
estimate. The condition of the patient regarding a
specific test is assessed following a Bayesian
framework. Our results indicate that the proposed
method achieves an overall estimation accuracy of 84\%.
In addition, an outstanding estimation accuracy is
achieved for a subset of high-cost tests. Moreover,
comparison with standard artificial intelligence
methods suggests that our algorithm outperforms the
conventional methods. Our contributions are as follows:
(i) promotion of affordable health check-ups, (ii) high
estimation accuracy in certain tests, (iii)
generalization capability due to ease of implementation
on different platforms and institutions, (iv)
flexibility to apply to various tests and potential to
improve early detection rates.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Edgcomb:2013:AEA,
author = "Alex Edgcomb and Frank Vahid",
title = "Accurate and Efficient Algorithms that Adapt to
Privacy-Enhanced Video for Improved Assistive
Monitoring",
journal = j-TMIS,
volume = "4",
number = "3",
pages = "14:1--14:??",
month = oct,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2523025.2523026",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:58 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Automated monitoring algorithms operating on live
video streamed from a home can effectively aid in
several assistive monitoring goals, such as detecting
falls or estimating daily energy expenditure. Use of
video raises obvious privacy concerns. Several privacy
enhancements have been proposed such as modifying a
person in video by introducing blur, silhouette, or
bounding-box. Person extraction is fundamental in
video-based assistive monitoring and degraded in the
presence of privacy enhancements; however, privacy
enhancements have characteristics that can
opportunistically be adapted to. We propose two
adaptive algorithms for improving assistive monitoring
goal performance with privacy-enhanced video:
specific-color hunter and edge-void filler. A
nonadaptive algorithm, foregrounding, is used as the
default algorithm for the adaptive algorithms. We
compare nonadaptive and adaptive algorithms with 5
common privacy enhancements on the effectiveness of 8
automated monitoring goals. The nonadaptive algorithm
performance on privacy-enhanced video is degraded from
raw video. However, adaptive algorithms can compensate
for the degradation. Energy estimation accuracy in our
tests degraded from 90.9\% to 83.9\%, but the adaptive
algorithms significantly compensated by bringing the
accuracy up to 87.1\%. Similarly, fall detection
accuracy degraded from 1.0 sensitivity to 0.86 and from
1.0 specificity to 0.79, but the adaptive algorithms
compensated accuracy back to 0.92 sensitivity and 0.90
specificity. Additionally, the adaptive algorithms were
computationally more efficient than the nonadaptive
algorithm, averaging 1.7\% more frames processed per
second.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Yang:2013:SHW,
author = "Christopher C. Yang and Gondy Leroy and Sophia
Ananiadou",
title = "Smart Health and Wellbeing",
journal = j-TMIS,
volume = "4",
number = "4",
pages = "15:1--15:??",
month = dec,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2555810.2555811",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:59 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Healthcare informatics has drawn substantial attention
in recent years. Current work on healthcare informatics
is highly interdisciplinary involving methodologies
from computing, engineering, information science,
behavior science, management science, social science,
as well as many different areas in medicine and public
health. Three major tracks, (i) systems, (ii)
analytics, and (iii) human factors, can be identified.
The systems track focuses on healthcare system
architecture, framework, design, engineering, and
application; the analytics track emphasizes
data/information processing, retrieval, mining,
analytics, as well as knowledge discovery; the human
factors track targets the understanding of users or
context, interface design, and user studies of
healthcare applications. In this article, we discuss
some of the latest development and introduce several
articles selected for this special issue. We envision
that the development of computing-oriented healthcare
informatics research will continue to grow rapidly. The
integration of different disciplines to advance the
healthcare and wellbeing of our society will also be
accelerated.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Wang:2013:MTE,
author = "Zidong Wang and Julie Eatock and Sally McClean and
Dongmei Liu and Xiaohui Liu and Terry Young",
title = "Modeling Throughput of Emergency Departments via Time
Series: an Expectation Maximization Algorithm",
journal = j-TMIS,
volume = "4",
number = "4",
pages = "16:1--16:??",
month = dec,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2544105",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:59 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In this article, the expectation maximization (EM)
algorithm is applied for modeling the throughput of
emergency departments via available time-series data.
The dynamics of emergency department throughput is
developed and evaluated, for the first time, as a
stochastic dynamic model that consists of the noisy
measurement and first-order autoregressive (AR)
stochastic dynamic process. By using the EM algorithm,
the model parameters, the actual throughput, as well as
the noise intensity, can be identified simultaneously.
Four real-world time series collected from an emergency
department in West London are employed to demonstrate
the effectiveness of the introduced algorithm. Several
quantitative indices are proposed to evaluate the
inferred models. The simulation shows that the
identified model fits the data very well.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zhang:2013:MDP,
author = "He Zhang and Sanjay Mehotra and David Liebovitz and
Carl A. Gunter and Bradley Malin",
title = "Mining Deviations from Patient Care Pathways via
Electronic Medical Record System Audits",
journal = j-TMIS,
volume = "4",
number = "4",
pages = "17:1--17:??",
month = dec,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2544102",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:59 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In electronic medical record (EMR) systems,
administrators often provide EMR users with broad
access privileges, which may leave the system
vulnerable to misuse and abuse. Given that patient care
is based on a coordinated workflow, we hypothesize that
care pathways can be represented as the progression of
a patient through a system and introduce a strategy to
model the patient's flow as a sequence of accesses
defined over a graph. Elements in the sequence
correspond to features associated with the access
transaction (e.g., reason for access). Based on this
motivation, we model patterns of patient record usage,
which may indicate deviations from care workflows. We
evaluate our approach using several months of data from
a large academic medical center. Empirical results show
that this framework finds a small portion of accesses
constitute outliers from such flows. We also observe
that the violation patterns deviate for different types
of medical services. Analysis of our results suggests
greater deviation from normal access patterns by
nonclinical users. We simulate anomalies in the context
of real accesses to illustrate the efficiency of the
proposed method for different medical services. As an
illustration of the capabilities of our method, it was
observed that the area under the receiver operating
characteristic (ROC) curve for the Pediatrics service
was found to be 0.9166. The results suggest that our
approach is competitive with, and often better than,
the existing state-of-the-art in its outlier detection
performance. At the same time, our method is more
efficient, by orders of magnitude, than previous
approaches, allowing for detection of thousands of
accesses in seconds.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Khosla:2013:ECM,
author = "Rajiv Khosla and Mei-Tai Chu",
title = "Embodying Care in {Matilda}: an Affective
Communication Robot for Emotional Wellbeing of Older
People in {Australian} Residential Care Facilities",
journal = j-TMIS,
volume = "4",
number = "4",
pages = "18:1--18:??",
month = dec,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2544104",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:59 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Ageing population is at the center of the looming
healthcare crisis in most parts of the developed and
developing world. Australia, like most of the western
world, is bracing up for the looming ageing population
crisis, spiraling healthcare costs, and expected
serious shortage of healthcare workers. Assistive
service and companion (social) robots are being seen as
one of the ways for supporting aged care facilities to
meet this challenge and improve the quality of care of
older people including mental and physical health
outcomes, as well as to support healthcare workers in
personalizing care. In this article, the authors report
on the design and implementation of first-ever field
trials of Matilda, a human-like assistive communication
(service and companion) robot for improving the
emotional well-being of older people in three
residential care facilities in Australia involving 70
participants. The research makes several unique
contributions including Matilda's ability to break
technology barriers, positively engage older people in
group and one-to-one activities, making these older
people productive and useful, helping them become
resilient and cope better through personalization of
care, and finally providing them sensory enrichment
through Matilda's multimodal communication
capabilities.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lisetti:2013:CHY,
author = "Christine Lisetti and Reza Amini and Ugan Yasavur and
Naphtali Rishe",
title = "{I} Can Help You Change! {An} Empathic Virtual Agent
Delivers Behavior Change Health Interventions",
journal = j-TMIS,
volume = "4",
number = "4",
pages = "19:1--19:??",
month = dec,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2544103",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:59 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "We discuss our approach to developing a novel modality
for the computer-delivery of Brief Motivational
Interventions (BMIs) for behavior change in the form of
a personalized On-Demand VIrtual Counselor (ODVIC),
accessed over the internet. ODVIC is a multimodal
Embodied Conversational Agent (ECA) that empathically
delivers an evidence-based behavior change intervention
by adapting, in real-time, its verbal and nonverbal
communication messages to those of the user's during
their interaction. We currently focus our work on
excessive alcohol consumption as a target behavior, and
our approach is adaptable to other target behaviors
(e.g., overeating, lack of exercise, narcotic drug use,
non-adherence to treatment). We based our current
approach on a successful existing patient-centered
brief motivational intervention for behavior
change---the Drinker's Check-Up (DCU)---whose
computer-delivery with a text-only interface has been
found effective in reducing alcohol consumption in
problem drinkers. We discuss the results of users'
evaluation of the computer-based DCU intervention
delivered with a text-only interface compared to the
same intervention delivered with two different ECAs (a
neutral one and one with some empathic abilities).
Users rate the three systems in terms of acceptance,
perceived enjoyment, and intention to use the system,
among other dimensions. We conclude with a discussion
of how our positive results encourage our long-term
goals of on-demand conversations, anytime, anywhere,
with virtual agents as personal health and well-being
helpers.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Mirani:2013:BBI,
author = "Rajesh Mirani and Anju Harpalani",
title = "Business Benefits or Incentive Maximization? Impacts
of the {Medicare} {EHR} Incentive Program at Acute Care
Hospitals",
journal = j-TMIS,
volume = "4",
number = "4",
pages = "20:1--20:??",
month = dec,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2543900",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 13 06:54:59 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "This study investigates the influence of the Medicare
EHR Incentive Program on EHR adoption at acute care
hospitals and the impact of EHR adoption on operational
and financial efficiency/effectiveness. It finds that
even before joining the incentive program, adopter
hospitals had more efficient and effective Medicare
operations than those of non-adopters. Adopters were
also financially more efficient. After joining the
program, adopter hospitals treated significantly more
Medicare patients by shortening their stay durations,
relative to their own non-Medicare patients and also to
patients at non-adopter hospitals, even as their
overall capacity utilization remained relatively
unchanged. The study concludes that many of these
hospitals had implemented EHR even before the
initiation of the incentive program. It further infers
that they joined this program with opportunistic
intentions of tapping into incentive payouts which they
maximized by taking on more Medicare patients. These
findings give credence to critics of the program who
have questioned its utility and alleged that it serves
only to reward existing users of EHR technologies.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Ho:2014:SSP,
author = "Joyce C. Ho and Cheng H. Lee and Joydeep Ghosh",
title = "Septic Shock Prediction for Patients with Missing
Data",
journal = j-TMIS,
volume = "5",
number = "1",
pages = "1:1--1:??",
month = apr,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2591676",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 15 17:44:19 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Sepsis and septic shock are common and potentially
fatal conditions that often occur in intensive care
unit (ICU) patients. Early prediction of patients at
risk for septic shock is therefore crucial to
minimizing the effects of these complications.
Potential indications for septic shock risk span a wide
range of measurements, including physiological data
gathered at different temporal resolutions and gene
expression levels, leading to a nontrivial prediction
problem. Previous works on septic shock prediction have
used small, carefully curated datasets or clinical
measurements that may not be available for many ICU
patients. The recent availability of a large, rich ICU
dataset called MIMIC-II has provided the opportunity
for more extensive modeling of this problem. However,
such a large clinical dataset inevitably contains a
substantial amount of missing data. We investigate how
different imputation selection criteria and methods can
overcome the missing data problem. Our results show
that imputation methods in conjunction with predictive
modeling can lead to accurate septic shock prediction,
even if the features are restricted primarily to
noninvasive measurements. Our models provide a
generalized approach for predicting septic shock in any
ICU patient.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Yang:2014:PDS,
author = "Christopher C. Yang and Haodong Yang and Ling Jiang",
title = "Postmarketing Drug Safety Surveillance Using Publicly
Available Health-Consumer-Contributed Content in Social
Media",
journal = j-TMIS,
volume = "5",
number = "1",
pages = "2:1--2:??",
month = apr,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2576233",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 15 17:44:19 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Postmarketing drug safety surveillance is important
because many potential adverse drug reactions cannot be
identified in the premarketing review process. It is
reported that about 5\% of hospital admissions are
attributed to adverse drug reactions and many deaths
are eventually caused, which is a serious concern in
public health. Currently, drug safety detection relies
heavily on voluntarily reporting system, electronic
health records, or relevant databases. There is often a
time delay before the reports are filed and only a
small portion of adverse drug reactions experienced by
health consumers are reported. Given the popularity of
social media, many health social media sites are now
available for health consumers to discuss any
health-related issues, including adverse drug reactions
they encounter. There is a large volume of
health-consumer-contributed content available, but
little effort has been made to harness this information
for postmarketing drug safety surveillance to
supplement the traditional approach. In this work, we
propose the association rule mining approach to
identify the association between a drug and an adverse
drug reaction. We use the alerts posted by Food and
Drug Administration as the gold standard to evaluate
the effectiveness of our approach. The result shows
that the performance of harnessing health-related
social media content to detect adverse drug reaction is
good and promising.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Bouktif:2014:PSO,
author = "Salah Bouktif and Houari Sahraoui and Faheem Ahmed",
title = "Predicting Stability of Open-Source Software Systems
Using Combination of {Bayesian} Classifiers",
journal = j-TMIS,
volume = "5",
number = "1",
pages = "3:1--3:??",
month = apr,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2555596",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 15 17:44:19 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/gnu.bib;
https://www.math.utah.edu/pub/tex/bib/java2010.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The use of free and Open-Source Software (OSS) systems
is gaining momentum. Organizations are also now
adopting OSS, despite some reservations, particularly
about the quality issues. Stability of software is one
of the main features in software quality management
that needs to be understood and accurately predicted.
It deals with the impact resulting from software
changes and argues that stable components lead to a
cost-effective software evolution. Changes are most
common phenomena present in OSS in comparison to
proprietary software. This makes OSS system evolution a
rich context to study and predict stability. Our
objective in this work is to build stability prediction
models that are not only accurate but also
interpretable, that is, able to explain the link
between the architectural aspects of a software
component and its stability behavior in the context of
OSS. Therefore, we propose a new approach based on
classifiers combination capable of preserving
prediction interpretability. Our approach is
classifier-structure dependent. Therefore, we propose a
particular solution for combining Bayesian classifiers
in order to derive a more accurate composite classifier
that preserves interpretability. This solution is
implemented using a genetic algorithm and applied in
the context of an OSS large-scale system, namely the
standard Java API. The empirical results show that our
approach outperforms state-of-the-art approaches from
both machine learning and software engineering.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Huang:2014:BOT,
author = "Lihua Huang and Sulin Ba and Xianghua Lu",
title = "Building Online Trust in a Culture of {Confucianism}:
The Impact of Process Flexibility and Perceived
Control",
journal = j-TMIS,
volume = "5",
number = "1",
pages = "4:1--4:??",
month = apr,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2576756",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 15 17:44:19 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The success of e-commerce companies in a Confucian
cultural context takes more than advanced IT and
process design that have proven successful in Western
countries. The example of eBay's failure in China
indicates that earning the trust of Chinese consumers
is essential to success, yet the process of building
that trust requires something different from that in
the Western culture. This article attempts to build a
theoretical model to explore the relationship between
the Confucian culture and online trust. We introduce
two new constructs, namely process flexibility and
perceived control, as particularly important factors in
online trust formation in the Chinese cultural context.
A survey was conducted to test the proposed theoretical
model. This study offers a new explanation for online
trust formation in the Confucian context. The findings
of this article can provide guidance for companies
hoping to successfully navigate the Chinese online
market in the future.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Yeo:2014:RMD,
author = "M. Lisa Yeo and Erik Rolland and Jackie Rees Ulmer and
Raymond A. Patterson",
title = "Risk Mitigation Decisions for {IT} Security",
journal = j-TMIS,
volume = "5",
number = "1",
pages = "5:1--5:??",
month = apr,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2576757",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 15 17:44:19 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Enterprises must manage their information risk as part
of their larger operational risk management program.
Managers must choose how to control for such
information risk. This article defines the flow risk
reduction problem and presents a formal model using a
workflow framework. Three different control placement
methods are introduced to solve the problem, and a
comparative analysis is presented using a robust test
set of 162 simulations. One year of simulated attacks
is used to validate the quality of the solutions. We
find that the math programming control placement method
yields substantial improvements in terms of risk
reduction and risk reduction on investment when
compared to heuristics that would typically be used by
managers to solve the problem. The contribution of this
research is to provide managers with methods to
substantially reduce information and security risks,
while obtaining significantly better returns on their
security investments. By using a workflow approach to
control placement, which guides the manager to examine
the entire infrastructure in a holistic manner, this
research is unique in that it enables information risk
to be examined strategically.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Goodman:2014:BNC,
author = "S. E. Goodman",
title = "Building the Nation's Cyber Security Workforce:
Contributions from the {CAE} Colleges and
Universities",
journal = j-TMIS,
volume = "5",
number = "2",
pages = "6:1--6:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629636",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Aug 8 11:44:01 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "This article presents a view of the necessary size and
composition of the US national cyber security
workforce, and considers some of the contributions that
the government-designated Centers of Academic
Excellence (CAE) might make to it. Over the last dozen
years about 200 million taxpayer dollars have gone into
funding many of these CAEs, with millions explicitly
targeted to help them build capacity. The most visible
intended output has been in the form of around 125
Scholarship for Service (SFS) students per year going
mostly into the workforce of the federal government.
Surely the output capacity of these 181 colleges and
universities is greater than that, and should be
helping to protect the rest of US citizens and
taxpayers. We take a need-based look at what the
nation's workforce should look like, and then consider
some possibilities of what the CAE schools could be
doing to help to close the gaps between that perceived
need and the supply and demand.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Deodhar:2014:IWB,
author = "Suruchi Deodhar and Keith R. Bisset and Jiangzhuo Chen
and Yifei Ma and Madhav V. Marathe",
title = "An Interactive, {Web}-Based High Performance Modeling
Environment for Computational Epidemiology",
journal = j-TMIS,
volume = "5",
number = "2",
pages = "7:1--7:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629692",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Aug 8 11:44:01 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "We present an integrated interactive modeling
environment to support public health epidemiology. The
environment combines a high resolution individual-based
model with a user-friendly Web-based interface that
allows analysts to access the models and the analytics
backend remotely from a desktop or a mobile device. The
environment is based on a loosely coupled
service-oriented-architecture that allows analysts to
explore various counterfactual scenarios. As the
modeling tools for public health epidemiology are
getting more sophisticated, it is becoming increasingly
difficult for noncomputational scientists to
effectively use the systems that incorporate such
models. Thus an important design consideration for an
integrated modeling environment is to improve ease of
use such that experimental simulations can be driven by
the users. This is achieved by designing intuitive and
user-friendly interfaces that allow users to design and
analyze a computational experiment and steer the
experiment based on the state of the system. A key
feature of a system that supports this design goal is
the ability to start, stop, pause, and roll back the
disease propagation and intervention application
process interactively. An analyst can access the state
of the system at any point in time and formulate
dynamic interventions based on additional information
obtained through state assessment. In addition, the
environment provides automated services for experiment
set-up and management, thus reducing the overall time
for conducting end-to-end experimental studies. We
illustrate the applicability of the system by
describing computational experiments based on realistic
pandemic planning scenarios. The experiments are
designed to demonstrate the system's capability and
enhanced user productivity.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Kostkova:2014:SUT,
author = "Patty Kostkova and Martin Szomszor and Connie {St.
Luis}",
title = "\#swineflu: The Use of {Twitter} as an Early Warning
and Risk Communication Tool in the 2009 Swine Flu
Pandemic",
journal = j-TMIS,
volume = "5",
number = "2",
pages = "8:1--8:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2597892",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Aug 8 11:44:01 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The need to improve population monitoring and enhance
surveillance of infectious diseases has never been more
pressing. Factors such as air travel act as a catalyst
in the spread of new and existing viruses. The
unprecedented user-generated activity on social
networks over the last few years has created real-time
streams of personal data that provide an invaluable
tool for monitoring and sampling large populations.
Epidemic intelligence relies on constant monitoring of
online media sources for early warning, detection, and
rapid response; however, the real-time information
available in social networks provides a new paradigm
for the early warning function. The communication of
risk in any public health emergency is a complex task
for governments and healthcare agencies. This task is
made more challenging in the current situation when the
public has access to a wide range of online resources,
ranging from traditional news channels to information
posted on blogs and social networks. Twitter's strength
is its two-way communication nature --- both as an
information source but also as a central hub for
publishing, disseminating and discovering online media.
This study addresses these two challenges by
investigating the role of Twitter during the 2009 swine
flu pandemic by analysing data collected from the SN,
and by Twitter using the opposite way for dissemination
information through the network. First, we demonstrate
the role of the social network for early warning by
detecting an upcoming spike in an epidemic before the
official surveillance systems by up to two weeks in the
U.K. and up to two to three weeks in the U.S. Second,
we illustrate how online resources are propagated
through Twitter at the time of the WHO's declaration of
the swine flu ``pandemic''. Our findings indicate that
Twitter does favour reputable t bogus information can
still leak into the network.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Tsai:2014:SPS,
author = "Chih-Fong Tsai and Zen-Yu Quan",
title = "Stock Prediction by Searching for Similarities in
Candlestick Charts",
journal = j-TMIS,
volume = "5",
number = "2",
pages = "9:1--9:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2591672",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Aug 8 11:44:01 MDT 2014",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The aim of stock prediction is to effectively predict
future stock market trends (or stock prices), which can
lead to increased profit. One major stock analysis
method is the use of candlestick charts. However,
candlestick chart analysis has usually been based on
the utilization of numerical formulas. There has been
no work taking advantage of an image processing
technique to directly analyze the visual content of the
candlestick charts for stock prediction. Therefore, in
this study we apply the concept of image retrieval to
extract seven different wavelet-based texture features
from candlestick charts. Then, similar historical
candlestick charts are retrieved based on different
texture features related to the query chart, and the
``future'' stock movements of the retrieved charts are
used for stock prediction. To assess the applicability
of this approach to stock prediction, two datasets are
used, containing 5-year and 10-year training and
testing sets, collected from the Dow Jones Industrial
Average Index (INDU) for the period between 1990 and
2009. Moreover, two datasets (2010 and 2011) are used
to further validate the proposed approach. The
experimental results show that visual content
extraction and similarity matching of candlestick
charts is a new and useful analytical method for stock
prediction. More specifically, we found that the
extracted feature vectors of 30, 90, and 120, the
number of textual features extracted from the
candlestick charts in the BMP format, are more suitable
for predicting stock movements, while the 90 feature
vector offers the best performance for predicting
short- and medium-term stock movements. That is, using
the 90 feature vector provides the lowest MAPE
(3.031\%) and Theil's U (1.988\%) rates in the
twenty-year dataset, and the best MAPE (2.625\%,
2.945\%) and Theil's U (1.622\%, 1.972\%) rates in the
two validation datasets (2010 and 2011).",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Jarke:2015:ECS,
author = "Matthias Jarke and Kalle Lyytinen",
title = "Editorial: {``Complexity of Systems Evolution:
Requirements Engineering Perspective''}",
journal = j-TMIS,
volume = "5",
number = "3",
pages = "11:1--11:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629597",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Walking on water, and programming according to
specifications is easy-as long as both of them are
frozen. --Robert Glass This introduction discusses the
changing nature of complexity associated with
requirements engineering (RE) tasks and how it has
shifted from managing internal complexity to adapting
and leveraging upon external and dynamic complexity. We
note several significant drivers in the requirements
knowledge that have resulted in this change and discuss
in light of complexity theory how the RE research
community can respond to this. We observe several
research challenges associated with ``new complexity''
and highlight how the articles included in the special
issue advance the field by defining complexity more
accurately, observing more vigilantly new sources of
complexity, and suggesting new ways to manage
complexity in terms of economic assessments, knowledge
flows, and modeling for adaptability.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Fridgen:2015:IBV,
author = "Gilbert Fridgen and Julia Klier and Martina Beer and
Thomas Wolf",
title = "Improving Business Value Assurance in Large-Scale {IT}
Projects --- a Quantitative Method Based on Founded
Requirements Assessment",
journal = j-TMIS,
volume = "5",
number = "3",
pages = "12:1--12:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2638544",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The probability of IT project failures can be
mitigated more successfully when discovered early. To
support a more insightful management of IT projects,
which may also facilitate an early detection of IT
project failures, transparency regarding a project's
cash flows shall be increased. Therefore, an
appropriate analysis of a project's benefits, costs,
requirements, their respective risks and
interdependencies is inevitable. However, to date, in
requirements engineering only few methods exist that
appropriately consider these factors when estimating
the ex ante project business case. Furthermore,
empirical studies reveal that a lot of risk factors
emerge during the runtime of projects why the ex ante
valuation of IT projects even with respect to
requirements seems insufficient. Therefore, using the
Action Design Research approach, we design, apply, and
evaluate a practicable method for value-based
continuous IT project steering especially for
large-scale IT projects.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{King:2015:CCR,
author = "John Leslie King and Carl P. Simon",
title = "Complications with Complexity in Requirements",
journal = j-TMIS,
volume = "5",
number = "3",
pages = "13:1--13:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629375",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Requirements engineering must recognize the difference
between complicated and complex problems. The former
can lead to successful solutions. The latter should be
avoided because they often lead to failure. As a
starting point for distinguishing between complicated
and complex, this article offers six characteristics of
complex problems, with examples from economics,
logistics, forecasting, among others. These
characteristics make it easier and more systematic to
recognize complexity during requirements elicitation
and formulation.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Chakraborty:2015:GSF,
author = "Suranjan Chakraborty and Christoph Rosenkranz and Josh
Dehlinger",
title = "Getting to the Shalls: Facilitating Sensemaking in
Requirements Engineering",
journal = j-TMIS,
volume = "5",
number = "3",
pages = "14:1--14:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629351",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Sensemaking in Requirements Engineering (RE) relies on
knowledge transfer, communication, and negotiation of
project stakeholders. It is a critical and challenging
aspect of Information Systems (IS) development. One of
the most fundamental aspects of RE is the specification
of traceable, unambiguous, and operationalizable
functional and nonfunctional requirements. This remains
a nontrivial task in the face of the complexity
inherent in RE due to the lack of well-documented,
systematic procedures that facilitate a structured
analysis of the qualitative data from stakeholder
interviews, observations, and documents that are
typically the input to this activity. This research
develops a systematic and traceable procedure, for
non-functional requirements the Grounded and
Linguistic-Based Requirements Analysis Procedure
(GLAP), which can fill this gap by incorporating
perspectives from Grounded Theory Method, linguistic
analysis of language quality, Volere typology, and the
Nonfunctional Requirements Framework without
significantly deviating from existing practice. The
application of GLAP is described along with empirical
illustrations using RE data from a redesign initiative
of a library website of a public university in the
United States. An outlook is given on further work and
necessary evaluation steps.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Nekvi:2015:IRC,
author = "Md Rashed I. Nekvi and Nazim H. Madhavji",
title = "Impediments to Regulatory Compliance of Requirements
in Contractual Systems Engineering Projects: a Case
Study",
journal = j-TMIS,
volume = "5",
number = "3",
pages = "15:1--15:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629432",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Large-scale contractual systems engineering projects
often need to comply with myriad government regulations
and standards as part of contractual obligations. A key
activity in the requirements engineering (RE) process
for such a project is to demonstrate that all relevant
requirements have been elicited from the regulatory
documents and have been traced to the contract as well
as to the target system components. That is, the
requirements have met regulatory compliance. However,
there are impediments to achieving this level of
compliance due to such complexity factors as voluminous
contract, large number of regulatory documents, and
multiple domains of the system. Little empirical
research has been conducted in the scientific community
on identifying these impediments. Knowing these
impediments is a driver for change in the solutions
domain (i.e., creating improved or new methods, tools,
processes, etc.) to deal with such impediments. Through
a case study of an industrial RE project, we have
identified a number of key impediments to achieving
regulatory compliance in a large-scale, complex,
systems engineering project. This project is an upgrade
of a rail infrastructure system. The key contribution
of the article is a number of hitherto uncovered
impediments described in qualitative and quantitative
terms. The article also describes an artefact model,
depicting key artefacts and relationships involved in
such a compliance project. This model was created from
data gathered and observations made in this compliance
project. In addition, the article describes emergent
metrics on regulatory compliance of requirements that
can possibly be used for estimating the effort needed
to achieve regulatory compliance of system
requirements.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Jain:2015:SBS,
author = "Radhika Jain and Lan Cao and Kannan Mohan and
Balasubramaniam Ramesh",
title = "Situated Boundary Spanning: an Empirical Investigation
of Requirements Engineering Practices in Product Family
Development",
journal = j-TMIS,
volume = "5",
number = "3",
pages = "16:1--16:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629395",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Requirements Engineering (RE) faces considerable
challenges that are often related to boundaries between
various stakeholders involved in the software
development process. These challenges may be addressed
by boundary spanning practices. We examine how boundary
spanning can be adapted to address RE challenges in
Product Family Development (PFD), a context that
involves complex RE. We study two different development
approaches, namely, conventional and agile PFD, because
these present considerably different challenges. Our
findings from a multisite case study present boundary
spanning as a solution to improve the quality of RE
processes and highlight interesting differences in how
boundary spanner roles and boundary objects are adapted
in conventional and agile PFD.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Jureta:2015:RPA,
author = "Ivan J. Jureta and Alexander Borgida and Neil A. Ernst
and John Mylopoulos",
title = "The Requirements Problem for Adaptive Systems",
journal = j-TMIS,
volume = "5",
number = "3",
pages = "17:1--17:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629376",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Requirements Engineering (RE) focuses on eliciting,
modeling, and analyzing the requirements and
environment of a system-to-be in order to design its
specification. The design of the specification, known
as the Requirements Problem (RP), is a complex
problem-solving task because it involves, for each new
system, the discovery and exploration of, and decision
making in a new problem space. A system is adaptive if
it can detect deviations between its runtime behavior
and its requirements, specifically situations where its
behavior violates one or more of its requirements.
Given such a deviation, an Adaptive System uses
feedback mechanisms to analyze these changes and
decide, with or without human intervention, how to
adjust its behavior as a result. We are interested in
defining the Requirements Problem for Adaptive Systems
(RPAS). In our case, we are looking for a configurable
specification such that whenever requirements fail to
be fulfilled, the system can go through a series of
adaptations that change its configuration and
eventually restore fulfilment of the requirements. From
a theoretical perspective, this article formally shows
the fundamental differences between standard RE
(notably Zave and Jackson [1997]) and RE for Adaptive
Systems (see the seminal work by Fickas and Feather
[1995], to Letier and van Lamsweerde [2004], and up to
Whittle et al. [2010]). The main contribution of this
article is to introduce the RPAS as a new RP class that
is specific to Adaptive Systems. We relate the RPAS to
RE research on the relaxation of requirements, the
evaluation of their partial satisfaction, and the
monitoring and control of requirements, all topics of
particular interest in research on adaptive systems [de
Lemos et al. 2013]. From an engineering perspective, we
define a proto-framework for solving RPAS, which
illustrates features needed in future frameworks for
adaptive software systems.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Wang:2015:AFU,
author = "G. Alan Wang and Harry Jiannan Wang and Jiexun Li and
Alan S. Abrahams and Weiguo Fan",
title = "An Analytical Framework for Understanding
Knowledge-Sharing Processes in Online {Q\&A}
Communities",
journal = j-TMIS,
volume = "5",
number = "4",
pages = "18:1--18:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629445",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Online communities have become popular knowledge
sources for both individuals and organizations.
Computer-mediated communication research shows that
communication patterns play an important role in the
collaborative efforts of online knowledge-sharing
activities. Existing research is mainly focused on
either user egocentric positions in communication
networks or communication patterns at the community
level. Very few studies examine thread-level
communication and process patterns and their impacts on
the effectiveness of knowledge sharing. In this study,
we fill this research gap by proposing an innovative
analytical framework for understanding thread-level
knowledge sharing in online Q{\&}A communities based on
dialogue act theory, network analysis, and process
mining. More specifically, we assign a dialogue act tag
for each post in a discussion thread to capture its
conversation purpose and then apply graph and process
mining algorithms to examine knowledge-sharing
processes. Our results, which are based on a real
support forum dataset, show that the proposed
analytical framework is effective in identifying
important communication, conversation, and process
patterns that lead to helpful knowledge sharing in
online Q{\&}A communities.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Partington:2015:PMC,
author = "Andrew Partington and Moe Wynn and Suriadi Suriadi and
Chun Ouyang and Jonathan Karnon",
title = "Process Mining for Clinical Processes: a Comparative
Analysis of Four {Australian} Hospitals",
journal = j-TMIS,
volume = "5",
number = "4",
pages = "19:1--19:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629446",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Business process analysis and process mining,
particularly within the health care domain, remain
under-utilized. Applied research that employs such
techniques to routinely collected health care data
enables stakeholders to empirically investigate care as
it is delivered by different health providers. However,
cross-organizational mining and the comparative
analysis of processes present a set of unique
challenges in terms of ensuring population and activity
comparability, visualizing the mined models, and
interpreting the results. Without addressing these
issues, health providers will find it difficult to use
process mining insights, and the potential benefits of
evidence-based process improvement within health will
remain unrealized. In this article, we present a brief
introduction on the nature of health care processes, a
review of process mining in health literature, and a
case study conducted to explore and learn how health
care data and cross-organizational comparisons with
process-mining techniques may be approached. The case
study applies process-mining techniques to
administrative and clinical data for patients who
present with chest pain symptoms at one of four public
hospitals in South Australia. We demonstrate an
approach that provides detailed insights into clinical
(quality of patient health) and fiscal (hospital
budget) pressures in the delivery of health care. We
conclude by discussing the key lessons learned from our
experience in conducting business process analysis and
process mining based on the data from four different
hospitals.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Yan:2015:MAG,
author = "Jiaqi Yan and Daning Hu and Stephen S. Liao and
Huaiqing Wang",
title = "Mining Agents' Goals in Agent-Oriented Business
Processes",
journal = j-TMIS,
volume = "5",
number = "4",
pages = "20:1--20:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629448",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "When designing a business process, individual agents
are assigned to perform tasks based on certain goals
(i.e., designed process goals). However, based on their
own interests, real-world agents often have different
goals (i.e., agents' goals) and thus may behave
differently than designed, often resulting in reduced
effectiveness or efficiencies of the executed process.
Moreover, existing business process research lacks
effective methods for discovering agents' goals in the
actual execution of the designed business processes. To
address this problem, we propose an agent-oriented goal
mining approach to modeling, discovering, and analyzing
agents' goals in executed business processes using
historical event logs and domain data. To the best of
our knowledge, our research is the first to adopt the
agents' goal perspective to study inconsistencies
between the design and execution of business processes.
Moreover, it also provides a useful tool for
stakeholders to discover real-world agents' actual
goals and thus provides insights for improving the task
assignment mechanism or business process design in
general.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Silva:2015:PAA,
author = "Thushari Silva and Ma Jian and Yang Chen",
title = "Process Analytics Approach for {R\&D} Project
Selection",
journal = j-TMIS,
volume = "5",
number = "4",
pages = "21:1--21:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629436",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "R{\&}D project selection plays an important role in
government funding agencies, as allocation of billions
of dollars among the proposals deemed highly
influential and contributive solely depend on it.
Efficacious assignment of reviewers is one of the most
critical processes that controls the quality of the
entire project selection and also has a serious
implication on business profit. Current methods that
focus on workflow automation are more efficient than
manual assignment; however, they are not effective, as
they fail to consider the real insight of core tasks.
Other decision models that analyze core tasks are
effective but inefficient when handling large amounts
of submissions, and they suffer from irrelevant
assignment. Furthermore, they largely ignore real deep
insight of back-end data such as quality of the
reviewers (e.g., quality and citation impact of their
produced research) and the effect of social
relationships in project selection processes that are
essential for identifying reviewers for
interdisciplinary proposal evaluation. In light of
these deficiencies, this research proposes a novel
hybrid process analytics approach to decompose the
complex reviewer assignment process into manageable
subprocesses and applies data-driven decision models
cum process analytics systematically from a triangular
perspective via the research analytics framework to
achieve high operational efficiencies and high-quality
assignment. It also analyzes big data from scientific
databases and generates visualized decision-ready
information to support effective decision making. The
proposed approach has been implemented to aid the
project selection process of the largest funding agency
in China and has been tested. The test results show
that the proposed approach has the potential to add
great benefits, including cost saving, improved
effectiveness, and increased business value.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "21",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Guo:2015:DPB,
author = "Xitong Guo and Sherry X. Sun and Doug Vogel",
title = "A Dataflow Perspective for Business Process
Integration",
journal = j-TMIS,
volume = "5",
number = "4",
pages = "22:1--22:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629450",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Business process integration has become prevalent as
business increasingly crosses organizational
boundaries. To address the issue of protecting
organizations' competitive knowledge and private
information while also enabling business-to-business
(B2B) collaboration, past research has focused mainly
on customized public and private process design, as
well as structural correctness of the integrated
workflow. However, a dataflow perspective is important
for business process integration. This article presents
a data-flow perspective using workflow management and
mathematical techniques to address data exchange
problems in independent multistakeholder business
process integration in dynamic circumstances. The
research is conducted following a design science
paradigm. We build artifacts that include
interorganizational workflow concepts, a workflow
model, and a public dataset calculation method. The use
of the proposed artifacts is illustrated by applying
them to a real-world case in the Shenzhen (Chaiwan)
port. The utility of the artifacts is evaluated through
interviews with practitioners in industry. We conclude
that this research complements the control-flow
perspective in the interorganizational workflow
management area and also contributes to B2B
information-sharing literature; further, the dataflow
formalism can help practitioners to formally provide
the right data at the right time in dynamic
circumstances.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "22",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Jiang:2015:CCO,
author = "Jie Jiang and Huib Aldewereld and Virginia Dignum and
Yao-Hua Tan",
title = "Compliance Checking of Organizational Interactions",
journal = j-TMIS,
volume = "5",
number = "4",
pages = "23:1--23:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629630",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In business environments, different sorts of
regulations are imposed to restrict the behavior of
both public and private organizations, ranging from
legal regulations to internal policies. Regulatory
compliance is important for the safety of individual
actors as well as the overall business environment.
However, complexity derives from not only the contents
of the regulations but also their interdependencies. As
such, the verification of whether actors are able to
comply with the combined regulations cannot be done by
checking each regulation separately. To these ends, we
introduce a normative structure Norm Nets (NNs) for
modeling sets of interrelated regulations and setting a
basis for compliance checking of organizational
interactions against interrelated regulations. NNs
support a modular design by providing the constructs to
represent regulations and the relationships between
them. Additionally, we propose a computational
mechanism to reason about regulatory compliance by
mapping NNs to Colored Petri Nets (CPNs). We show that
compliance checking of both individual actors' behavior
and the collective behavior of the business environment
can be achieved automatically using state space
analysis techniques of CPNs. The approach is
illustrated with a case study from the domain of
international trade.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "23",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Ciccio:2015:DDC,
author = "Claudio {Di Ciccio} and Massimo Mecella",
title = "On the Discovery of Declarative Control Flows for
Artful Processes",
journal = j-TMIS,
volume = "5",
number = "4",
pages = "24:1--24:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629447",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Artful processes are those processes in which the
experience, intuition, and knowledge of the actors are
the key factors in determining the decision making.
They are typically carried out by the ``knowledge
workers,'' such as professors, managers, and
researchers. They are often scarcely formalized or
completely unknown a priori. Throughout this article,
we discuss how we addressed the challenge of
discovering declarative control flows in the context of
artful processes. To this extent, we devised and
implemented a two-phase algorithm, named MINERful. The
first phase builds a knowledge base, where statistical
information extracted from logs is represented. During
the second phase, queries are evaluated on that
knowledge base, in order to infer the constraints that
constitute the discovered process. After outlining the
overall approach and offering insight on the adopted
process modeling language, we describe in detail our
discovery technique. Thereupon, we analyze its
performances, both from a theoretical and an
experimental perspective. A user-driven evaluation of
the quality of results is also reported on the basis of
a real case study. Finally, a study on the fitness of
discovered models with respect to synthetic and real
logs is presented.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "24",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Keller:2015:CMR,
author = "Thorben Keller and Fr{\'e}d{\'e}ric Thiesse and Elgar
Fleisch",
title = "Classification Models for {RFID}-Based Real-Time
Detection of Process Events in the Supply Chain: an
Empirical Study",
journal = j-TMIS,
volume = "5",
number = "4",
pages = "25:1--25:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629449",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Feb 11 13:49:27 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "RFID technology allows the collecting of fine-grained
real-time information on physical processes in the
supply chain that often cannot be monitored using
conventional approaches. However, because of the
phenomenon of false-positive reads, RFID data streams
resemble noisy analog measurements rather than the
desired recordings of activities within a business
process. The present study investigates the use of data
mining techniques for filtering and aggregating raw
RFID data. We consider classifiers based on logistic
regression, decision trees, and artificial neural
networks using attributes derived from low-level reader
data. In addition, we present a custom-made algorithm
for generating decision rules using artificial
attributes and an iterative training procedure. We
evaluate the classifiers using a massive set of data on
pallet movements collected under real-world conditions
at one of the largest retailers worldwide. The results
clearly indicate high classification performance of the
classification models, with the rule-based classifier
outperforming all others. Moreover, we show that
utilizing the full spectrum of data generated by the
reader hardware leads to superior performance compared
with the approaches based on timestamp and antenna
information proposed in prior research.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "25",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Berndt:2015:CSD,
author = "Donald J. Berndt and James A. McCart and Dezon K.
Finch and Stephen L. Luther",
title = "A Case Study of Data Quality in Text Mining Clinical
Progress Notes",
journal = j-TMIS,
volume = "6",
number = "1",
pages = "1:1--1:??",
month = feb,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2669368",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Apr 3 16:18:04 MDT 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Text analytic methods are often aimed at extracting
useful information from the vast array of unstructured,
free format text documents that are created by almost
all organizational processes. The success of any text
mining application rests on the quality of the
underlying data being analyzed, including both
predictive features and outcome labels. In this case
study, some focused experiments regarding data quality
are used to assess the robustness of Statistical Text
Mining (STM) algorithms when applied to clinical
progress notes. In particular, the experiments consider
the impacts of task complexity (by removing signals),
training set size, and target outcome quality. While
this research is conducted using a dataset drawn from
the medical domain, the data quality issues explored
are of more general interest.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zimbra:2015:SAF,
author = "David Zimbra and Hsinchun Chen and Robert F. Lusch",
title = "Stakeholder Analyses of Firm-Related {Web} Forums:
Applications in Stock Return Prediction",
journal = j-TMIS,
volume = "6",
number = "1",
pages = "2:1--2:??",
month = feb,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2675693",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Apr 3 16:18:04 MDT 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In this study, we present stakeholder analyses of
firm-related web forums. Prior analyses of firm-related
forums have considered all participants in the
aggregate, failing to recognize the potential for
diversity within the populations. However, distinctive
groups of forum participants may represent various
interests and stakes in a firm worthy of consideration.
To perform the stakeholder analyses, the Stakeholder
Analyzer system for firm-related web forums is
developed following the design science paradigm of
information systems research. The design of the system
and its approach to stakeholder analysis is guided by
two kernel theories, the stakeholder theory of the firm
and the systemic functional linguistic theory. A
stakeholder analysis identifies distinctive groups of
forum participants with shared characteristics
expressed in discussion and evaluates their specific
opinions and interests in the firm. Stakeholder
analyses are performed in six major firm-related forums
hosted on Yahoo Finance over a 3-month period. The
relationships between measures extracted from the
forums and subsequent daily firm stock returns are
examined using multiple linear regression models,
revealing statistically significant indicators of firm
stock returns in the discussions of the stakeholder
groups of each firm with stakeholder-model-adjusted
R$^2$ values reaching 0.83. Daily stock return
prediction is also performed for 31 trading days, and
stakeholder models correctly predicted the direction of
return on 67\% of trading days and generated an
impressive 17\% return in simulated trading of the six
firm stocks. These evaluations demonstrate that the
stakeholder analyses provided more refined assessments
of the firm-related forums, yielding measures at the
stakeholder group level that better explain and predict
daily firm stock returns than aggregate forum-level
information.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Li:2015:NBB,
author = "Shing-Han Li and Yu-Cheng Kao and Zong-Cyuan Zhang and
Ying-Ping Chuang and David C. Yen",
title = "A Network Behavior-Based {Botnet} Detection Mechanism
Using {PSO} and {$K$}-means",
journal = j-TMIS,
volume = "6",
number = "1",
pages = "3:1--3:??",
month = feb,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2676869",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Apr 3 16:18:04 MDT 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In today's world, Botnet has become one of the
greatest threats to network security. Network
attackers, or Botmasters, use Botnet to launch the
Distributed Denial of Service (DDoS) to paralyze
large-scale websites or steal confidential data from
infected computers. They also employ ``phishing''
attacks to steal sensitive information (such as users'
accounts and passwords), send bulk email advertising,
and/or conduct click fraud. Even though detection
technology has been much improved and some solutions to
Internet security have been proposed and improved, the
threat of Botnet still exists. Most of the past studies
dealing with this issue used either packet contents or
traffic flow characteristics to identify the invasion
of Botnet. However, there still exist many problems in
the areas of packet encryption and data privacy, simply
because Botnet can easily change the packet contents
and flow characteristics to circumvent the Intrusion
Detection System (IDS). This study combines Particle
Swarm Optimization (PSO) and $K$-means algorithms to
provide a solution to remedy those problems and
develop, step by step, a mechanism for Botnet
detection. First, three important network behaviors are
identified: long active communication behavior
(ActBehavior), connection failure behavior
(FailBehavior), and network scanning behavior
(ScanBehavior). These behaviors are defined according
to the relevant prior studies and used to analyze the
communication activities among the infected computers.
Second, the features of network behaviors are extracted
from the flow traces in the network layer and transport
layer of the network equipment. Third, PSO and
$K$-means techniques are used to uncover the host
members of Botnet in the organizational network. This
study mainly utilizes the flow traces of a campus
network as an experiment. The experimental findings
show that this proposed approach can be employed to
detect the suspicious Botnet members earlier than the
detection application systems. In addition, this
proposed approach is easy to implement and can be
further used and extended in the campus dormitory
network, home networks, and the mobile 3G network.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lee:2015:OBM,
author = "Yen-Hsien Lee and Paul Jen-Hwa Hu and Ching-Yi Tu",
title = "Ontology-Based Mapping for Automated Document
Management: a Concept-Based Technique for Word Mismatch
and Ambiguity Problems in Document Clustering",
journal = j-TMIS,
volume = "6",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2688488",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 5 07:57:33 MST 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Document clustering is crucial to automated document
management, especially for the fast-growing volume of
textual documents available digitally. Traditional
lexicon-based approaches depend on document content
analysis and measure overlap of the feature vectors
representing different documents, which cannot
effectively address word mismatch or ambiguity
problems. Alternative query expansion and local context
discovery approaches are developed but suffer from
limited efficiency and effectiveness, because the large
number of expanded terms create noise and increase the
dimensionality and complexity of the overall feature
space. Several techniques extend lexicon-based analysis
by incorporating latent semantic indexing but produce
less comprehensible clustering results and questionable
performance. We instead propose a concept-based
document representation and clustering (CDRC) technique
and empirically examine its effectiveness using 433
articles concerning information systems and technology,
randomly selected from a popular digital library. Our
evaluation includes two widely used benchmark
techniques and shows that CDRC outperforms them.
Overall, our results reveal that clustering documents
at an ontology-based, concept-based level is more
effective than techniques using lexicon-based document
features and can generate more comprehensible
clustering results.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Sutanto:2015:ITC,
author = "Juliana Sutanto and Atreyi Kankanhalli and Bernard
Cheng Yian Tan",
title = "Investigating Task Coordination in Globally Dispersed
Teams: a Structural Contingency Perspective",
journal = j-TMIS,
volume = "6",
number = "2",
pages = "5:1--5:??",
month = jul,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2688489",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Aug 7 09:26:12 MDT 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Task coordination poses significant challenges for
globally dispersed teams (GDTs). Although various task
coordination mechanisms have been proposed for such
teams, there is a lack of systematic examination of the
appropriate coordination mechanisms for different teams
based on the nature of their task and the context under
which they operate. Prior studies on collocated teams
suggest matching their levels of task dependence to
specific task coordination mechanisms for effective
coordination. This research goes beyond the earlier
work by also considering additional contextual factors
of GDT (i.e., temporal dispersion and time constraints)
in deriving their optimal IT-mediated task coordination
mechanisms. Adopting the structural contingency theory,
we propose optimal IT-mediated task coordination
portfolios to fit the different levels of task
dependence, temporal dispersion, and perceived time
constraint of GDTs. The proposed fit is tested through
a survey and profile analysis of 95 globally dispersed
software development teams in a large financial
organization. We find, as hypothesized, that the extent
of fit between the actual IT-mediated task coordination
portfolios used by the surveyed teams and their optimal
portfolios proposed here is positively related to their
task coordination effectiveness that in turn impacts
the team's efficiency and effectiveness. The
implications for theory and practice are discussed.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Basole:2015:UBE,
author = "Rahul C. Basole and Martha G. Russell and Jukka
Huhtam{\"a}ki and Neil Rubens and Kaisa Still and
Hyunwoo Park",
title = "Understanding Business Ecosystem Dynamics: a
Data-Driven Approach",
journal = j-TMIS,
volume = "6",
number = "2",
pages = "6:1--6:??",
month = jul,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2724730",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Aug 7 09:26:12 MDT 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Business ecosystems consist of a heterogeneous and
continuously evolving set of entities that are
interconnected through a complex, global network of
relationships. However, there is no well-established
methodology to study the dynamics of this network.
Traditional approaches have primarily utilized a single
source of data of relatively established firms;
however, these approaches ignore the vast number of
relevant activities that often occur at the individual
and entrepreneurial levels. We argue that a data-driven
visualization approach, using both institutionally and
socially curated datasets, can provide important
complementary, triangulated explanatory insights into
the dynamics of interorganizational networks in general
and business ecosystems in particular. We develop novel
visualization layouts to help decision makers
systemically identify and compare ecosystems. Using
traditionally disconnected data sources on deals and
alliance relationships (DARs), executive and funding
relationships (EFRs), and public opinion and discourse
(POD), we empirically illustrate our data-driven method
of data triangulation and visualization techniques
through three cases in the mobile industry Google's
acquisition of Motorola Mobility, the coopetitive
relation between Apple and Samsung, and the strategic
partnership between Nokia and Microsoft. The article
concludes with implications and future research
opportunities.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zhao:2015:RBP,
author = "Xiaohui Zhao and Chengfei Liu and Sira Yongchareon and
Marek Kowalkiewicz and Wasim Sadiq",
title = "Role-Based Process View Derivation and Composition",
journal = j-TMIS,
volume = "6",
number = "2",
pages = "7:1--7:??",
month = jul,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2744207",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Aug 7 09:26:12 MDT 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The process view concept deploys a partial and
temporal representation to adjust the visible view of a
business process according to various perception
constraints of users. Process view technology is of
practical use for privacy protection and authorization
control in process-oriented business management. Owing
to complex organizational structure, it is challenging
for large companies to accurately specify the diverse
perception of different users over business processes.
Aiming to tackle this issue, this article presents a
role-based process view model to incorporate role
dependencies into process view derivation. Compared to
existing process view approaches, ours particularly
supports runtime updates to the process view
perceivable to a user with specific view merging
operations, thereby enabling the dynamic tracing of
process perception. A series of rules and theorems are
established to guarantee the structural consistency and
validity of process view transformation. A hypothetical
case is conducted to illustrate the feasibility of our
approach, and a prototype is developed for the
proof-of-concept purpose.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Liu:2015:WNS,
author = "Dengpan Liu and Sumit Sarkar and Chelliah
Sriskandarajah",
title = "Who's Next? {Scheduling} Personalization Services with
Variable Service Times",
journal = j-TMIS,
volume = "6",
number = "2",
pages = "8:1--8:??",
month = jul,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2764920",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Aug 7 09:26:12 MDT 2015",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Online personalization has become quite prevalent in
recent years, with firms able to derive additional
profits from such services. As the adoption of such
services grows, firms implementing such practices face
some operational challenges. One important challenge
lies in the complexity associated with the
personalization process and how to deploy available
resources to handle such complexity. The complexity is
exacerbated when a site faces a large volume of
requests in a short amount of time, as is often the
case for e-commerce and content delivery sites. In such
situations, it is generally not possible for a site to
provide perfectly personalized service to all requests.
Instead, a firm can provide differentiated service to
requests based on the amount of profiling information
available about the visitor. We consider a scenario
where the revenue function is concave, capturing the
diminishing returns from personalization effort. Using
a batching approach, we determine the optimal
scheduling policy (i.e., time allocation and sequence
of service) for a batch that accounts for the
externality cost incurred when a request is provided
service before other waiting requests. The batching
approach leads to sunk costs incurred when visitors
wait for the next batch to begin. An optimal admission
control policy is developed to prescreen new request
arrivals. We show how the policy can be implemented
efficiently when the revenue function is complex and
there are a large number of requests that can be served
in a batch. Numerical experiments show that the
proposed approach leads to substantial improvements
over a linear approximation of the concave revenue
function. Interestingly, we find that the improvements
in firm profits are not only (or primarily) due to the
different service times that are obtained when using
the nonlinear personalization function-there is a
ripple effect on the admission control policy that
incorporates these optimized service times, which
contributes even more to the additional profits than
the service time optimization by itself.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Bai:2015:RAM,
author = "Xue Bai and James R. Marsden and William T. {Ross,
Jr.} and Gang Wang",
title = "Relationships Among Minimum Requirements, {Facebook}
Likes, and {Groupon} Deal Outcomes",
journal = j-TMIS,
volume = "6",
number = "3",
pages = "9:1--9:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2764919",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 25 07:36:47 MST 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Daily deal coupons have gained a prominent foothold on
the web. The earliest and largest player is Groupon.
Originally, Groupon deals were a mix of deals with a
minimum requirement (MR) of coupon sales before a
deal became effective and of deals without a minimum
requirement (NMR). Eventually, Groupon stopped using
MR deals. For Groupon and its retailer customers, might
this decision have actually resulted in negative
impacts for both parties (fewer coupons sold and lower
revenue)? The structure of Groupon deals (including a
``Facebook like'' option) together with electronic
access to the necessary data offered the opportunity to
empirically investigate these questions. We analyzed
relationships among MR, Facebook likes (FL), quantity
of coupons sold, and total revenue, performing the
analysis across the four largest retail categories.
Using timestamped empirical data, we completed a
propensity score analysis of causal effects. We find
that the presence of MR increases Facebook likes,
quantity of coupons sold, and total revenue at the time
point when the MR is met and at subsequent 2-hour
intervals over the horizon of deals. A key finding is
that the initial differences observed when MR is met
not only continue but also actually increase over the
life of the deals.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Bhowmik:2015:RSH,
author = "Tanmay Bhowmik and Nan Niu and Prachi Singhania and
Wentao Wang",
title = "On the Role of Structural Holes in Requirements
Identification: an Exploratory Study on Open-Source
Software Development",
journal = j-TMIS,
volume = "6",
number = "3",
pages = "10:1--10:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2795235",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 25 07:36:47 MST 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/gnu.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Requirements identification is a human-centric
activity that involves interaction among multiple
stakeholders. Traditional requirements engineering (RE)
techniques addressing stakeholders' social interaction
are mainly part of a centralized process intertwined
with a specific phase of software development. However,
in open-source software (OSS) development,
stakeholders' social interactions are often
decentralized, iterative, and dynamic. Little is known
about new requirements identification in OSS and the
stakeholders' organizational arrangements supporting
such an activity. In this article, we investigate the
theory of structural hole from the context of
contributing new requirements in OSS projects.
Structural hole theory suggests that stakeholders
positioned in the structural holes in their social
network are able to produce new ideas. In this study,
we find that structural hole positions emerge in
stakeholders' social network and these positions are
positively related to contributing a higher number of
new requirements. We find that along with structural
hole positions, stakeholders' role is also an important
part in identifying new requirements. We further
observe that structural hole positions evolve over
time, thereby identifying requirements to realize
enriched features. Our work advances the fundamental
understanding of the RE process in a decentralized
environment and opens avenues for improved techniques
supporting this process.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Bhattacharya:2015:RNA,
author = "Devipsita Bhattacharya and Sudha Ram",
title = "{RT @News}: an Analysis of News Agency Ego Networks in
a Microblogging Environment",
journal = j-TMIS,
volume = "6",
number = "3",
pages = "11:1--11:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2811270",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 25 07:36:47 MST 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "News agencies regularly use Twitter to publicize and
increase readership of their articles. Although
substantial research on the spread of news on Twitter
exists, there hasn't been much focus on the study of
the spread of news articles. In this study, we present
an innovative methodology involving weighted ego
networks to understand how news agencies propagate news
articles using their Twitter handle. We propose a set
of measures to compare the propagation process of
different news agencies by studying important aspects
such as volume, extent of spread, conversion rate,
multiplier effect, lifespan, hourly response, and
audience participation. Using a dataset of tweets
collected over a period of 6 months, we apply our
methodology and suggest a framework to help news
agencies gauge their performance on social media and
also provide critical insights into the phenomenon of
news article propagation on Twitter.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Roy:2015:MOU,
author = "Arindam Roy and Shamik Sural and Arun Kumar Majumdar
and Jaideep Vaidya and Vijayalakshmi Atluri",
title = "Minimizing Organizational User Requirement while
Meeting Security Constraints",
journal = j-TMIS,
volume = "6",
number = "3",
pages = "12:1--12:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2811269",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 25 07:36:47 MST 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Large systems are complex and typically need automatic
configuration to be managed effectively. In any
organization, numerous tasks have to be carried out by
employees. However, due to security needs, it is not
feasible to directly assign any existing task to the
first available employee. In order to meet many
additional security requirements, constraints such as
separation of duty, cardinality and binding have to be
taken into consideration. Meeting these requirements
imposes extra burden on organizations, which, however,
is unavoidable in order to ensure security. While a
trivial way of ensuring security is to assign each user
to a single task, business organizations would
typically like to minimize their costs and keep
staffing requirements to a minimum. To meet these
contradictory goals, we define the problem of
Cardinality Constrained-Mutually Exclusive Task Minimum
User Problem (CMUP), which aims to find the minimum
users that can carry out a set of tasks while
satisfying the given security constraints. We show that
the CMUP problem is equivalent to a constrained version
of the weak chromatic number problem in hypergraphs,
which is NP-hard. We, therefore, propose a greedy
solution. Our experimental evaluation shows that the
proposed algorithm is both efficient and effective.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Gomez-Uribe:2016:NRS,
author = "Carlos A. Gomez-Uribe and Neil Hunt",
title = "The {Netflix} Recommender System: Algorithms, Business
Value, and Innovation",
journal = j-TMIS,
volume = "6",
number = "4",
pages = "13:1--13:??",
month = jan,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2843948",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 25 07:36:48 MST 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "This article discusses the various algorithms that
make up the Netflix recommender system, and describes
its business purpose. We also describe the role of
search and related algorithms, which for us turns into
a recommendations problem as well. We explain the
motivations behind and review the approach that we use
to improve the recommendation algorithms, combining A/B
testing focused on improving member retention and
medium term engagement, as well as offline
experimentation using historical member engagement
data. We discuss some of the issues in designing and
interpreting A/B tests. Finally, we describe some
current areas of focused innovation, which include
making our recommender system global and language
aware.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Krishnamurthy:2016:PDP,
author = "Rajiv Krishnamurthy and Varghese Jacob and Suresh
Radhakrishnan and Kutsal Dogan",
title = "Peripheral Developer Participation in Open Source
Projects: an Empirical Analysis",
journal = j-TMIS,
volume = "6",
number = "4",
pages = "14:1--14:??",
month = jan,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2820618",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 25 07:36:48 MST 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/gnu.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The success of the Open Source model of software
development depends on the voluntary participation of
external developers (the peripheral developers), a
group that can have distinct motivations from that of
project founders (the core developers). In this study,
we examine peripheral developer participation by
empirically examining approximately 2,600 open source
projects. In particular, we hypothesize that peripheral
developer participation is higher when the potential
for building reputation by gaining recognition from
project stakeholders is higher. We consider recognition
by internal stakeholders (such as core developers) and
external stakeholders (such as end-users and peers). We
find a positive association between peripheral
developer participation and the potential of
stakeholder recognition after controlling for bug
reports, feature requests, and other key factors. Our
findings provide important insights for OSS founders
and corporate managers for open sourcing or OSS
adoption decisions.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Liaskos:2016:SRO,
author = "Christos Liaskos and Ageliki Tsioliaridou",
title = "Service Ratio-Optimal, Content Coherence-Aware Data
Push Systems",
journal = j-TMIS,
volume = "6",
number = "4",
pages = "15:1--15:??",
month = jan,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2850423",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 25 07:36:48 MST 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Advertising new information to users via push is the
trigger of operation for many contemporary information
systems. Furthermore, passive optical networks are
expected to extend the reachability of high-quality
push services to thousands of clients. The efficiency
of a push service is the ratio of successfully informed
users. However, pushing only data of high popularity
can degrade the thematic coherency of the content. The
present work offers a novel, analysis-derived, tunable
way for selecting data for push services. The proposed
scheme can maximize the service ratio of a push system
with regard to data coherence constraints. Extensive
simulations demonstrate the efficiency of the scheme
compared to alternative solutions. The proposed scheme
is the first to tackle the problem of data
coherence-aware, service ratio optimization of push
services.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lu:2016:CCB,
author = "Xianghua Lu and Xia Zhao and Ling Xue",
title = "Is Combining Contextual and Behavioral Targeting
Strategies Effective in Online Advertising?",
journal = j-TMIS,
volume = "7",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2883816",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jun 20 11:28:19 MDT 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Online targeting has been increasingly used to deliver
ads to consumers. But discovering how to target the
most valuable web visitors and generate a high response
rate is still a challenge for advertising
intermediaries and advertisers. The purpose of this
study is to examine how behavioral targeting (BT)
impacts users' responses to online ads and particularly
whether BT works better in combination with contextual
targeting (CT). Using a large, individual-level
clickstream data set of an automobile advertising
campaign from an Internet advertising intermediary,
this study examines the impact of BT and CT strategies
on users' click behavior. The results show that (1)
targeting a user with behavioral characteristics that
are closely related to ads does not necessarily
increase the click through rates (CTRs); whereas,
targeting a user with behavioral characteristics that
are loosely related to ads leads to a higher CTR, and
(2) BT and CT work better in combination. Our study
contributes to online advertising design literature and
provides important managerial implications for
advertising intermediaries and advertisers on targeting
individual users.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lui:2016:EMC,
author = "Tsz-Wai Lui and Gabriele Piccoli",
title = "The Effect of a Multichannel Customer Service System
on Customer Service and Financial Performance",
journal = j-TMIS,
volume = "7",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2875444",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jun 20 11:28:19 MDT 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Customer service is an important competitive lever for
the modern firm. At the same time, the continuous
evolution and performance improvements in information
technology (IT) capabilities have enabled the
utilization of multichannel service delivery
strategies. Our research focuses on IT-enabled customer
service systems (CSS) and their effect on firm
performance. Previous studies have failed to find a
consensus on the effect of a new self-service channel
on the firm's performance. We argue that the embedded
assumptions underpinning the previous research are
responsible for these mixed findings. Consequently,
using archival data from 169 hotels affiliated with a
hotel chain, we designed a longitudinal multichannel
study to resolve some of these inconsistencies. Our
results illustrate that when firms implement an
IT-enabled self-service channel to complement their
existing customer service infrastructure, they
experience an early negative effect on financial
performance due to the disruption of the service
processes. Thus, the multichannel CSS generates a
positive effect only when the new process becomes a
stable part of the organizational procedures. Our
findings suggest that researchers evaluate the effect
of a technological initiative after the new business
process has been stabilized and consider that an
additional IT-enabled self-service channel rarely
operates in isolation.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Sun:2016:UAN,
author = "Yutian Sun and Jianwen Su and Jian Yang",
title = "Universal Artifacts: a New Approach to Business
Process Management {(BPM)} Systems",
journal = j-TMIS,
volume = "7",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2886104",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jun 20 11:28:19 MDT 2016",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In most BPM systems (a.k.a. workflow systems), the
data for process execution is scattered across
databases for enterprise, auxiliary local data stores
within the BPM systems, and even file systems (e.g.,
specification of process models). The interleaving
nature of data management and BP execution and the lack
of a coherent conceptual data model for all data needed
for execution make it hard for (1) providing
Business-Process-as-a-Service (BPaaS) and (2) effective
support for collaboration between business processes.
The primary reason is that an enormous effort is
required for maintaining both the engines and the data
for the client applications. In particular, different
modeling languages and different BPM systems make
process interoperation one of the toughest challenges.
In this article, we formulate a concept of a
``universal artifact,'' which extends artifact-centric
models by capturing all needed data for a process
instance throughout its execution. A framework called
SeGA based on universal artifacts is developed to
support separation of data and BP execution, a key
principle for BPM systems. We demonstrate in this
article that SeGA is versatile enough to fully
facilitate not only executions of individual processes
(to support BPaaS) but also various collaboration
models. Moreover, SeGA reduces the complexity in
runtime management including runtime querying,
constraints enforcement, and dynamic modification upon
collaboration across possibly different BPM systems.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Li:2016:RTA,
author = "Shing-Han Li and David C. Yen and Ying-Ping Chuang",
title = "A Real-Time Audit Mechanism Based on the Compression
Technique",
journal = j-TMIS,
volume = "7",
number = "2",
pages = "4:1--4:??",
month = aug,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629569",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:29 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/datacompression.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Log management and log auditing have become
increasingly crucial for enterprises in this era of
information and technology explosion. The log analysis
technique is useful for discovering possible problems
in business processes and preventing illegal-intrusion
attempts and data-tampering attacks. Because of the
complexity of the dynamically changing environment,
auditing a tremendous number of data is a challenging
issue. We provide a real-time audit mechanism to
improve the aforementioned problems in log auditing.
This mechanism was developed based on the
Lempel--Ziv--Welch (LZW) compression technique to
facilitate effective compression and provide reliable
auditing log entries. The mechanism can be used to
predict unusual activities when compressing the log
data according to pre-defined auditing rules. Auditors
using real-time and continuous monitoring can perceive
instantly the most likely anomalies or exceptions that
could cause problems. We also designed a user interface
that allows auditors to define the various compression
and audit parameters, using real log cases in the
experiment to verify the feasibility and effectiveness
of this proposed audit mechanism. In summary, this
mechanism changes the log access method and improves
the efficiency of log analysis. This mechanism greatly
simplifies auditing so that auditors must only trace
the sources and causes of the problems related to the
detected anomalies. This greatly reduces the processing
time of analytical audit procedures and the manual
checking time, and improves the log audit efficiency.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Hashmi:2016:WSN,
author = "Khayyam Hashmi and Zaki Malik and Erfan Najmi and Amal
Alhosban and Brahim Medjahed",
title = "A {Web} Service Negotiation Management and {QoS}
Dependency Modeling Framework",
journal = j-TMIS,
volume = "7",
number = "2",
pages = "5:1--5:??",
month = aug,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2893187",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:29 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Information Management Systems that outsource part of
the functionality to other (likely unknown) services
need an effective way to communicate with these
services, so that a mutually beneficial solution can be
generated. This includes bargaining for their optimal
customizations and the discovery of overlooked
potential solutions. In this article, we present an
automated negotiation framework for information systems
(denoted as WebNeg ) that can be used by both the
parties for conducting negotiations. WebNeg uses a
Genetic Algorithm (GA)-based approach for finding
acceptable solutions in multiparty and multiobjective
scenarios. The GA is enhanced using a new operator
called Norm, which represents the cumulative knowledge
of all the parties involved in the negotiation process.
Norm incorporates the dependencies of different quality
attributes of independently developed component
services for the system composition. This enables
WebNeg to find a better solution in the context of the
current requirements. Experiment results indicate the
applicability and improved performance of WebNeg (in
comparison with existing similar works) in facilitating
the negotiation management involved in a web
service-based information composition process.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Gupta:2016:SCS,
author = "Agam Gupta and Biswatosh Saha and Uttam K. Sarkar",
title = "Systemic Concentration in Sponsored Search Markets:
The Role of Time Window in Click-Through-Rate
Computation",
journal = j-TMIS,
volume = "7",
number = "2",
pages = "6:1--6:??",
month = aug,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2934695",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:29 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Keyword-based search engine advertising markets on the
Internet, referred to as Sponsored Search Markets
(SSMs), have reduced entry barriers to advertising for
niche players. Known empirical research, though scant
and emerging, suggests that while these markets
provided niche firms with greater access, they do
exhibit high levels of concentration-a phenomenon that
warrants further study. This research, using
agent-based simulation of SSM, investigates the role of
``market rules'' and ``advertiser practices'' in
generating emergent click share heterogeneity among
advertisers in an industry. SSMs often rank ads based
on the click-through rate (CTR) that gives rise to
reinforcing dynamics at an individual keyword level. In
the presence of spillovers arising from advertisers'
practice of managing keyword bids with a cost cap
operating on the keyword portfolio, these reinforcing
dynamics can endogenously generate industry-level
concentration. Analysis of counterfactual markets with
different window sizes used to compute CTR reveals that
industry-level concentration bears an inverted-``U''
relationship with window size.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Tsai:2016:DFK,
author = "Ming-Feng Tsai and Chuan-Ju Wang and Po-Chuan Chien",
title = "Discovering Finance Keywords via Continuous-Space
Language Models",
journal = j-TMIS,
volume = "7",
number = "3",
pages = "7:1--7:??",
month = oct,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2948072",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:30 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The growing amount of public financial data makes it
increasingly important to learn how to discover
valuable information for financial decision making.
This article proposes an approach to discovering
financial keywords from a large number of financial
reports. In particular, we apply the continuous
bag-of-words (CBOW) model, a well-known
continuous-space language model, to the textual
information in 10-K financial reports to discover new
finance keywords. In order to capture word meanings to
better locate financial terms, we also present a novel
technique to incorporate syntactic information into the
CBOW model. Experimental results on four prediction
tasks using the discovered keywords demonstrate that
our approach is effective for discovering
predictability keywords for post-event volatility,
stock volatility, abnormal trading volume, and excess
return predictions. We also analyze the discovered
keywords that attest to the ability of the proposed
method to capture both syntactic and contextual
information between words. This shows the success of
this method when applied to the field of finance.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Burnay:2016:SOS,
author = "Corentin Burnay",
title = "Are Stakeholders the Only Source of Information for
Requirements Engineers? {Toward} a Taxonomy of
Elicitation Information Sources",
journal = j-TMIS,
volume = "7",
number = "3",
pages = "8:1--8:??",
month = oct,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2965085",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:30 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Requirements elicitation consists in collecting and
documenting information about the requirements from a
system-to-be and about the environment of that system.
Elicitation forms a critical step in the design of any
information system, subject to many challenges like
information incompleteness, variability, or ambiguity.
To deal with these challenges, requirements engineers
heavily rely on stakeholders, who turn out to be one of
the most significant provider of information during
elicitation. Sometimes, this comes at the cost of less
attention being paid by engineers to other sources of
information accessible in a business. In this article,
we try to deal with this issue by studying the
different sources of information that can be used by
engineers when designing a system. We propose TELIS (a
Taxonomy of Elicitation Sources), which can be used
during elicitation to review more systematically the
sources of information about a system-to-be. TELIS was
produced through a series of empirical studies and was
partially validated through a real-world case study.
Our objective in this article is to increase the
awareness of engineers about the other information
providers within a business. Ultimately, we believe our
taxonomy may help in better dealing with classical
elicitation challenges and increase the chances of
successful information systems design.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Xu:2016:RMB,
author = "Jiajie Xu and Chengfei Liu and Xiaohui Zhao and Sira
Yongchareon and Zhiming Ding",
title = "Resource Management for Business Process Scheduling in
the Presence of Availability Constraints",
journal = j-TMIS,
volume = "7",
number = "3",
pages = "9:1--9:??",
month = oct,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2990197",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:30 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In the context of business process management, the
resources required by business processes, such as
workshop staff, manufacturing machines, etc., tend to
follow certain availability patterns, due to
maintenance cycles, work shifts and other factors. Such
availability patterns heavily influence the efficiency
and effectiveness of enterprise resource management.
Most existing process scheduling and resource
management approaches tend to tune the process
structure to seek better resource utilisation, yet
neglect the constraints on resource availability. In
this article, we investigate the scheduling of business
process instances in accordance with resource
availability patterns, to find out how enterprise
resources can be rationally and sufficiently used.
Three heuristic-based planning strategies are proposed
to maximise the process instance throughput together
with another strategy based on a genetic algorithm. The
performance of these strategies has been evaluated by
conducting experiments of different settings and
analysing the strategy characteristics.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Roy:2017:OEA,
author = "Arindam Roy and Shamik Sural and Arun Kumar Majumdar
and Jaideep Vaidya and Vijayalakshmi Atluri",
title = "On Optimal Employee Assignment in Constrained
Role-Based Access Control Systems",
journal = j-TMIS,
volume = "7",
number = "4",
pages = "10:1--10:??",
month = jan,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/2996470",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:30 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Since any organizational environment is typically
resource constrained, especially in terms of human
capital, organization managers would like to maximize
the utilization of available human resources. However,
tasks cannot simply be assigned to arbitrary employees
since the employee needs to have the necessary
capabilities for executing a task. Furthermore,
security policies constrain the assignment of tasks to
employees, especially given the other tasks assigned to
the same employee. Since role-based access control
(RBAC) is the most commonly used access control model
for commercial information systems, we limit our
attention to consider constraints in RBAC. In this
article, we define the Employee Assignment Problem
(EAP), which aims to identify an employee to role
assignment such that it permits the maximal flexibility
in assigning tasks to employees while ensuring that the
required security constraints are met. We prove that
finding an optimal solution is NP-complete and
therefore provide a greedy solution. Experimental
evaluation of the proposed approach shows that it is
both efficient and effective.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Chen:2017:DLN,
author = "Hao Chen and Keli Xiao and Jinwen Sun and Song Wu",
title = "A Double-Layer Neural Network Framework for
High-Frequency Forecasting",
journal = j-TMIS,
volume = "7",
number = "4",
pages = "11:1--11:??",
month = jan,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3021380",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:30 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Nowadays, machine trading contributes significantly to
activities in the equity market, and forecasting market
movement under high-frequency scenario has become an
important topic in finance. A key challenge in
high-frequency market forecasting is modeling the
dependency structure among stocks and business sectors,
with their high dimensionality and the requirement of
computational efficiency. As a group of powerful
models, neural networks (NNs) have been used to capture
the complex structure in many studies. However, most
existing applications of NNs only focus on forecasting
with daily or monthly data, not with minute-level data
that usually contains more noises. In this article, we
propose a novel double-layer neural (DNN) network for
high-frequency forecasting, with links specially
designed to capture dependence structures among stock
returns within different business sectors. Various
important technical indicators are also included at
different layers of the DNN framework. Our model
framework allows update over time to achieve the best
goodness-of-fit with the most recent data. The model
performance is tested based on 100 stocks with the
largest capitals from the S8P 500. The results show
that the proposed framework outperforms benchmark
methods in terms of the prediction accuracy and
returns. Our method will help in financial analysis and
trading strategy designs.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lu:2017:SLE,
author = "Yan Lu and Michael Chau and Patrick Y. K. Chau",
title = "Are Sponsored Links Effective? {Investigating} the
Impact of Trust in Search Engine Advertising",
journal = j-TMIS,
volume = "7",
number = "4",
pages = "12:1--12:??",
month = jan,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3023365",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 16 15:48:30 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "As information on the Internet grows exponentially,
online users primarily rely on search engines (SEs) to
locate e-commerce sites for online shopping. To
generate revenue while providing free service to users,
SE companies offer sponsored link (SL) placements to
e-commerce sites that want to appear in the first SE
results page. However, the lack of users' trust in SE
advertising indicates that SEs should utilize
strategies to project trustworthiness on this
mechanism. Despite these insights, the role of users'
trust in the operation of SE advertising is still an
unexplored territory. To address this issue, a
theoretical model was synthesized from the social
psychology literature, the marketing literature, and
the trust literature to investigate the factors that
may pose impacts on the effectiveness of SE advertising
by influencing users' perception of both cognitive and
emotional trust. A laboratory experiment was conducted.
The findings document the importance of incorporating
emotional components of trust in the study of online
communication by showing that emotional dimension of
trust is different from and complementary to cognitive
trust in facilitating online communication. The
findings also provide valuable implications for
practitioners to design and provide more effective SLs
that can benefit all parties involved.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Pika:2017:MRP,
author = "Anastasiia Pika and Michael Leyer and Moe T. Wynn and
Colin J. Fidge and Arthur H. M. Ter Hofstede and Wil M.
P. {Van Der Aalst}",
title = "Mining Resource Profiles from Event Logs",
journal = j-TMIS,
volume = "8",
number = "1",
pages = "1:1--1:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3041218",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:32 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In most business processes, several activities need to
be executed by human resources and cannot be fully
automated. To evaluate resource performance and
identify best practices as well as opportunities for
improvement, managers need objective information about
resource behaviors. Companies often use information
systems to support their processes, and these systems
record information about process execution in event
logs. We present a framework for analyzing and
evaluating resource behavior through mining such event
logs. The framework provides (1) a method for
extracting descriptive information about resource
skills, utilization, preferences, productivity, and
collaboration patterns; (2) a method for analyzing
relationships between different resource behaviors and
outcomes; and (3) a method for evaluating the overall
resource productivity, tracking its changes over time,
and comparing it to the productivity of other
resources. To demonstrate the applicability of our
framework, we apply it to analyze employee behavior in
an Australian company and evaluate its usefulness by a
survey among industry managers.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Eftekhari:2017:DHI,
author = "Saeede Eftekhari and Niam Yaraghi and Ranjit Singh and
Ram D. Gopal and R. Ramesh",
title = "Do Health Information Exchanges Deter Repetition of
Medical Services?",
journal = j-TMIS,
volume = "8",
number = "1",
pages = "2:1--2:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3057272",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:32 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Repetition of medical services by providers is one of
the major sources of healthcare costs. The lack of
access to previous medical information on a patient at
the point of care often leads a physician to perform
medical procedures that have already been done.
Multiple healthcare initiatives and legislation at both
the federal and state levels have mandated Health
Information Exchange (HIE) systems to address this
problem. This study aims to assess the extent to which
HIE could reduce these repetitions, using data from
Centers for Medicare 8 Medicaid Services and a regional
HIE organization. A 2-Stage Least Square model is
developed to predict the impact of HIE on repetitions
of two classes of procedures: diagnostic and
therapeutic. The first stage is a predictive analytic
model that estimates the duration of tenure of each HIE
member-practice. Based on these estimates, the second
stage predicts the effect of providers' HIE tenure on
their repetition of medical services. The model
incorporates moderating effects of a federal quality
assurance program and the complexity of medical
procedures with a set of control variables. Our
analyses show that a practice's tenure with HIE
significantly lowers the repetition of therapeutic
medical procedures, while diagnostic procedures are not
impacted. The medical reasons for the effects observed
in each class of procedures are discussed. The results
will inform healthcare policymakers and provide
insights on the business models of HIE platforms.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Kakar:2017:IRB,
author = "Adarsh Kumar Kakar",
title = "Investigating the Relationships Between the Use
Contexts, User Perceived Values, and Loyalty to a
Software Product",
journal = j-TMIS,
volume = "8",
number = "1",
pages = "3:1--3:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3057271",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:32 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In this study, we propose that software products
provide three types of value-utilitarian, hedonic, and
social-that impact user loyalty. Although the
Technology Acceptance Model (TAM) has focused on the
user impacts of utilitarian and hedonic values provided
by utilitarian and hedonic software products on system
use, the impact of social value provided by the
software products in general have been largely ignored.
The results of a longitudinal study with actual users
of three types of software products show that all three
types of software products-utilitarian (Producteev),
hedonic (Kerbal), and social (Facebook)-provide
significant but varying degrees of all three types of
values. Further, the value derived by the users'
primary use context moderated the impact of the
secondary values provided by the software product to
the users on their loyalty for the product.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Bhattacharjee:2017:IWS,
author = "Sudip Bhattacharjee and Varghese Jacob and Zhengrui
(Jeffrey) Jiang and Subodha Kumar",
title = "Introduction to {WITS 2015} Special Issue in {TMIS}",
journal = j-TMIS,
volume = "8",
number = "2--3",
pages = "4:1--4:??",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3108899",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:33 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4e",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Deng:2017:RAS,
author = "Shuyuan Deng and Atish P. Sinha and Huimin Zhao",
title = "Resolving Ambiguity in Sentiment Classification: The
Role of Dependency Features",
journal = j-TMIS,
volume = "8",
number = "2--3",
pages = "4:1--4:??",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3046684",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:33 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Sentiment analysis has become popular in business
intelligence and analytics applications due to the
great need for learning insights from the vast amounts
of user generated content on the Internet. One major
challenge of sentiment analysis, like most text
classification tasks, is finding structures from
unstructured texts. Existing sentiment analysis
techniques employ the supervised learning approach and
the lexicon scoring approach, both of which largely
rely on the representation of a document as a
collection of words and phrases. The semantic ambiguity
(i.e., polysemy) of single words and the sparsity of
phrases negatively affect the robustness of sentiment
analysis, especially in the context of short social
media texts. In this study, we propose to represent
texts using dependency features. We test the
effectiveness of dependency features in supervised
sentiment classification. We compare our method with
the current standard practice using a labeled data set
containing 170,874 microblogging messages. The
combination of unigram features and dependency features
significantly outperformed other popular types of
features.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Al-Ramahi:2017:DDP,
author = "Mohammad A. Al-Ramahi and Jun Liu and Omar F.
El-Gayar",
title = "Discovering Design Principles for Health Behavioral
Change Support Systems: a Text Mining Approach",
journal = j-TMIS,
volume = "8",
number = "2--3",
pages = "5:1--5:??",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3055534",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:33 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Behavioral Change Support Systems (BCSSs) aim to
change users' behavior and lifestyle. These systems
have been gaining popularity with the proliferation of
wearable devices and recent advances in mobile
technologies. In this article, we extend the existing
literature by discovering design principles for health
BCSSs based on a systematic analysis of users'
feedback. Using mobile diabetes applications as an
example of Health BCSSs, we use topic modeling to
discover design principles from online user reviews. We
demonstrate the importance of the design principles
through analyzing their existence in users' complaints.
Overall, the results highlight the necessity of going
beyond the techno-centric approach used in current
practice and incorporating the social and
organizational features into persuasive systems design,
as well as integrating with medical devices and other
systems in their usage context.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Sun:2017:BCP,
author = "Can Sun and Yonghua Ji and Bora Kolfal and Ray
Patterson",
title = "Business-to-Consumer Platform Strategy: How Vendor
Certification Changes Platform and Seller Incentives",
journal = j-TMIS,
volume = "8",
number = "2--3",
pages = "6:1--6:??",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3057273",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:33 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "We build an economic model to study the problem of
offering a new, high-certainty channel on an existing
business-to-consumer platform such as Taobao and eBay.
On this new channel, the platform owner exerts effort
to reduce the uncertainty of service quality. Sellers
can either sell through the existing low-certainty
channel or go through additional screening to sell on
this new channel. We model the problem as a Bertrand
competition game where sellers compete on price and
exert effort to provide better service to consumers. In
this game, we consider a reputation spillover effect
that refers to the impact of the high-certainty channel
on the perceived service quality in the low-certainty
channel. Counter-intuitively, we find that
low-certainty channel demand will decrease as the
reputation spillover effect increases, in the case of
low inter-channel competition. Also, low-certainty
channel demand increases as the quality uncertainty
increases, in the case of intense inter-channel
competition. Furthermore, the platform owner should
offer a new high-certainty channel when (i) the
perceived quality for this channel is sufficiently
high, (ii) sellers in this channel are able to
efficiently provide quality service, (iii) consumers in
this channel are not so sensitive to the quality
uncertainty, or (iv) the reputation spillover effect is
high. In the one-channel case, the incentives of the
platform owner and sellers are aligned for all model
parameters. However, this is not the case for the
two-channel solution, and our model reveals where
tensions will arise between parties.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Bauman:2017:USS,
author = "Konstantin Bauman and Alexander Tuzhilin and Ryan
Zaczynski",
title = "Using Social Sensors for Detecting Emergency Events: a
Case of Power Outages in the Electrical Utility
Industry",
journal = j-TMIS,
volume = "8",
number = "2--3",
pages = "7:1--7:??",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3052931",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:33 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "This article presents a novel approach to detecting
emergency events, such as power outages, that utilizes
social media users as ``social sensors'' for virtual
detection of such events. The proposed new method is
based on the analysis of the Twitter data that leads to
the detection of Twitter discussions about these
emergency events. The method described in the article
was implemented and deployed by one of the vendors in
the context of detecting power outages as a part of
their comprehensive social engagement platform. It was
also field tested on Twitter users in an industrial
setting and performed well during these tests.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Mannino:2017:DES,
author = "Michael Mannino and Joel Fredrickson and Farnoush
Banaei-Kashani and Iris Linck and Raghda Alqurashi
Raghda",
title = "Development and Evaluation of a Similarity Measure for
Medical Event Sequences",
journal = j-TMIS,
volume = "8",
number = "2--3",
pages = "8:1--8:??",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3070684",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:33 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "We develop a similarity measure for medical event
sequences (MESs) and empirically evaluate it using U.S.
Medicare claims data. Existing similarity measures do
not use unique characteristics of MESs and have never
been evaluated on real MESs. Our similarity measure,
the Optimal Temporal Common Subsequence for Medical
Event Sequences (OTCS-MES), provides a matching
component that integrates event prevalence, event
duplication, and hierarchical coding, important
elements of MESs. The OTCS-MES also uses normalization
to mitigate the impact of heavy positive skew of
matching events and compact distribution of event
prevalence. We empirically evaluate the OTCS-MES
measure against two other measures specifically
designed for MESs, the original OTCS and Artemis, a
measure incorporating event alignment. Our evaluation
uses two substantial data sets of Medicare claims data
containing inpatient and outpatient sequences with
different medical event coding. We find a small overlap
in nearest neighbors among the three similarity
measures, demonstrating the superior design of the
OTCS-MES with its emphasis on unique aspects of MESs.
The evaluation also provides evidence about the impact
of component weights, neighborhood size, and sequence
length.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Taghavi:2017:RCF,
author = "Atefeh Taghavi and Carson Woo",
title = "The Role Clarity Framework to Improve Requirements
Gathering",
journal = j-TMIS,
volume = "8",
number = "2--3",
pages = "9:1--9:??",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3083726",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:33 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Incorrect and incomplete requirements have been
reported as two of the top reasons for information
systems (IS) project failures. In order to address
these concerns, several IS analysis and design studies
have focused on understanding the business needs and
organizational factors prior to specifying the
requirements. In this research, we add to the existing
incremental solutions, such as the work system method
and goal-oriented requirements engineering, by
proposing the Role Clarity Framework drawn from the
theories of ``role dynamics'' and ``goal setting and
task performance'' in organization studies. The Role
Clarity Framework consists of three main concepts
related to any organizational role: expectations,
activities, and consequences. Based on the interactions
among different roles, this framework demonstrates how
the business goals and activities of each role, as
played out by IS users, are formed and/or changed in
the organization. Finally, the Role Clarity Framework
helps IS analysts to improve their communication with
users and anticipate changes in their requirements,
thus improving the gathering of requirements for IS
design.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Mukherjee:2017:ARB,
author = "Anik Mukherjee and R. P. Sundarraj and Kaushik Dutta",
title = "Apriori Rule-Based In-App Ad Selection Online
Algorithm for Improving Supply-Side Platform Revenues",
journal = j-TMIS,
volume = "8",
number = "2--3",
pages = "10:1--10:??",
month = aug,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3086188",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 16 11:43:33 MDT 2017",
bibsource = "http://www.acm.org/pubs/contents/journals/tmis/;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Today, smartphone-based in-app advertisement forms a
substantial portion of the online advertising market.
In-app publishers go through ad-space aggregators known
as Supply-Side Platforms (SSPs), who, in turn, act as
intermediaries for ad-agency aggregators known as
demand-side platforms. The SSPs face the twin issue of
making ad placement decisions within an order of
milliseconds, even though their revenue streams can be
optimized only by a careful selection of ads that
elicit appropriate user responses regarding
impressions, clicks, and conversions. This article
considers the SSP's perspective and presents an online
algorithm that balances these two issues. Our
experimental results indicate that the decision-making
time generally ranges between 20 ms and 50 ms and
accuracy from 1\% to 10\%. Further, we conduct
statistical analysis comparing the theoretical
complexity of the online algorithm with its empirical
performance. Empirically, we observe that the time is
directly proportional to the number of incoming ads and
the number of online rules.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Ha:2017:PPE,
author = "Tuan Minh Ha and Masaki Samejima and Norihisa Komoda",
title = "Power and Performance Estimation for Fine-Grained
Server Power Capping via Controlling Heterogeneous
Applications",
journal = j-TMIS,
volume = "8",
number = "4",
pages = "11:1--11:??",
month = sep,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3086449",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 22 17:26:40 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib;
https://www.math.utah.edu/pub/tex/bib/virtual-machines.bib",
abstract = "Power capping is a method to save power consumption of
servers by limiting performance of the servers.
Although users frequently run applications on different
virtual machines (VMs) for keeping their performance
and having them isolated from the other applications,
power capping may degrade performance of all the
applications running on the server. We present
fine-grained power capping by limiting performance of
each application individually. For keeping performance
defined in Quality of Service (QoS) requirements, it is
important to estimate applications' performance and
power consumption after the fine-grained power capping
is applied. We propose the estimation method of
physical CPU usage when limiting virtual CPU usage of
applications on VMs. On servers where multiple VMs run,
VM's usage of physical CPU is interrupted by the other
VMs, and a hypervisor uses physical CPU to control VMs.
These VMs' and hypervisor's behaviors make it difficult
to estimate performance and power consumption by
straightforward methods, such as linear regression and
polynomial regression. The proposed method uses
Piecewise Linear Regression to estimate physical CPU
usage by assuming that VM's access to physical CPU is
not interrupted by the other VMs. Then we estimate how
much physical CPU usage is reduced by the interruption.
Because physical CPU usage is not stable soon after
limiting CPU usage, the proposed method estimates a
convergence value of CPU usage after many interruptions
are repeated.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Basole:2017:UAP,
author = "Rahul C. Basole and Timothy Major and Arjun
Srinivasan",
title = "Understanding Alliance Portfolios Using Visual
Analytics",
journal = j-TMIS,
volume = "8",
number = "4",
pages = "12:1--12:??",
month = sep,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3086308",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 22 17:26:40 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "In an increasingly global and competitive business
landscape, firms must collaborate and partner with
others to ensure survival, growth, and innovation.
Understanding the evolutionary composition of a firm's
relationship portfolio and the underlying formation
strategy is a difficult task given the
multidimensional, temporal, and geospatial nature of
the data. In collaboration with senior executives, we
iteratively determine core design requirements and then
design and implement an interactive visualization
system that enables decision makers to gain both
systemic (macro) and detailed (micro) insights into a
firm's alliance activities and discover patterns of
multidimensional relationship formation. Our system
provides both sequential and temporal representation
modes, a rich set of additive cross-linked filters, the
ability to stack multiple alliance portfolios, and a
dynamically updated activity state model visualization
to inform decision makers of past and likely future
relationship moves. We illustrate our tool with
examples of alliance activities of firms listed on the
S8P 500. A controlled experiment and real-world
evaluation with practitioners and researchers reveals
significant evidence of the value of our visual
analytic tool. Our design study contributes to design
science by addressing a known problem (i.e., alliance
portfolio analysis) with a novel solution (interactive,
pixel-based multivariate visualization) and to the
rapidly emerging area of data-driven visual decision
support in corporate strategy contexts. We conclude
with implications and future research opportunities.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Cazier:2017:VCT,
author = "Joseph Cazier and Benjamin Shao and Robert
{St. Louis}",
title = "Value Congruence, Trust, and Their Effects on Purchase
Intention and Reservation Price",
journal = j-TMIS,
volume = "8",
number = "4",
pages = "13:1--13:??",
month = sep,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3110939",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 22 17:26:40 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "We study the roles of value congruence and trust in
increasing online shoppers' intention to purchase goods
and their reservation prices for these goods.
Hypotheses are developed and a controlled experiment is
conducted to measure subjects' value congruence with
and their trust in online sellers with disparate
values, along with their purchase intention and
willingness to pay price premiums. Using social
exchange theory, we find that, for business-to-consumer
(B2C) e-commerce, value congruence increases consumer
online trust, and both value congruence and online
trust have direct effects on purchase intention and
reservation prices. In particular, in the positive
value congruence vs. value neutral case, trust has a
greater effect than value congruence on purchase
intention, but value congruence has a greater effect
than trust on reservation price. These findings suggest
that trust is essential to a consumer's intention to
purchase online but value congruence can induce price
premiums from potential buyers for online sellers. This
implies that trust is essential to B2C e-commerce, but
value congruence can be a more effective instrument for
online sellers to achieve competitive advantage through
value-based differentiation in the virtual
marketplace.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lukyanenko:2017:ACC,
author = "Roman Lukyanenko and Binny M. Samuel",
title = "Are All Classes Created Equal? {Increasing} Precision
of Conceptual Modeling Grammars",
journal = j-TMIS,
volume = "8",
number = "4",
pages = "14:1--14:??",
month = sep,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3131780",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Jan 22 17:26:40 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Recent decade has seen a dramatic change in the
information systems landscape that alters the ways we
design and interact with information technologies,
including such developments as the rise of business
analytics, user-generated content, and NoSQL databases,
to name just a few. These changes challenge conceptual
modeling research to offer innovative solutions
tailored to these environments. Conceptual models
typically represent classes (categories, kinds) of
objects rather than concrete specific objects, making
the class construct a critical medium for capturing
domain semantics. While representation of classes may
differ between grammars, a common design assumption is
what we term different semantics same syntax (D3S).
Under D3S, all classes are depicted using the same
syntactic symbols. Following recent findings in
psychology, we introduce a novel assumption
semantics-contingent syntax (SCS) whereby syntactic
representations of classes in conceptual models may
differ based on their semantic meaning. We propose a
core SCS design principle and five guidelines pertinent
for conceptual modeling. We believe SCS carries
profound implications for theory and practice of
conceptual modeling as it seeks to better support
modern information environments.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Li:2018:SLR,
author = "Zhepeng (Lionel) Li and Xiao Fang and Olivia R. Liu
Sheng",
title = "A Survey of Link Recommendation for Social Networks:
Methods, Theoretical Foundations, and Future Research
Directions",
journal = j-TMIS,
volume = "9",
number = "1",
pages = "1:1--1:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3131782",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Link recommendation has attracted significant
attention from both industry practitioners and academic
researchers. In industry, link recommendation has
become a standard and most important feature in online
social networks, prominent examples of which include
``People You May Know'' on LinkedIn and ``You May
Know'' on Google+. In academia, link recommendation has
been and remains a highly active research area. This
article surveys state-of-the-art link recommendation
methods, which can be broadly categorized into
learning-based methods and proximity-based methods. We
further identify social and economic theories, such as
social interaction theory, that underlie these methods
and explain from a theoretical perspective why a link
recommendation method works. Finally, we propose to
extend link recommendation research in several
directions that include utility-based link
recommendation, diversity of link recommendation, link
recommendation from incomplete data, and experimental
study of link recommendation.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Xiao:2018:PSD,
author = "Keli Xiao and Qi Liu and Chuanren Liu and Hui Xiong",
title = "Price Shock Detection With an Influence-Based Model of
Social Attention",
journal = j-TMIS,
volume = "9",
number = "1",
pages = "2:1--2:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3131781",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "There has been increasing interest in exploring the
impact of human behavior on financial market dynamics.
One of the important related questions is whether
attention from society can lead to significant stock
price movements or even abnormal returns. To answer the
question, we develop a new measurement of social
attention, named periodic cumulative degree of social
attention, by simultaneously considering the individual
influence and the information propagation in social
networks. Based on the vast social network data, we
evaluate the new attention measurement by testing its
significance in explaining future abnormal returns. In
addition, we test the forecasting ability of social
attention for stock price shocks, defined by the
cumulative abnormal returns. Our results provide
significant evidence to support the intercorrelated
relationship between the social attention and future
abnormal returns. The outperformance of the new
approach in predicting price shocks is also confirmed
by comparison with several benchmark methods.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Tuarob:2018:DDB,
author = "Suppawong Tuarob and Ray Strong and Anca Chandra and
Conrad S. Tucker",
title = "Discovering Discontinuity in Big Financial Transaction
Data",
journal = j-TMIS,
volume = "9",
number = "1",
pages = "3:1--3:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3159445",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Business transactions are typically recorded in the
company ledger. The primary purpose of such financial
information is to accompany a monthly or quarterly
report for executives to make sound business decisions
and strategies for the next business period. These
business strategies often result in transitions that
cause underlying infrastructures and components to
change, including alteration in the nomenclature system
of the business components. As a result, a transaction
stream of an affected component would be replaced by
another stream with a different component name,
resulting in discontinuity of a financial stream of the
same component. Recently, advancement in large-scale
data mining technologies has enabled a set of critical
applications to utilize knowledge extracted from a vast
amount of existing data that would otherwise have been
unused or underutilized. In financial and services
computing domains, recent studies have illustrated that
historical financial data could be used to predict
future revenues and profits, optimizing costs, among
other potential applications. These prediction models
rely on long-term availability of the historical data
that traces back for multiple years. However, the
discontinuity of the financial transaction stream
associated with a business component has limited the
learning capability of the prediction models. In this
article, we propose a set of machine learning-based
algorithms to automatically discover component name
replacements, using information available in general
ledger databases. The algorithms are designed to be
scalable for handling massive data points, especially
in large companies. Furthermore, the proposed
algorithms are generalizable to other domains whose
data is time series and shares the same nature as the
financial data available in business ledgers. A case
study of real-world IBM service delivery retrieved from
four different geographical regions is used to validate
the efficacy of the proposed methodology.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Mendling:2018:BBP,
author = "Jan Mendling and Ingo Weber and Wil {Van Der Aalst}
and Jan {Vom Brocke and} Cristina Cabanillas and
Florian Daniel and S{\o}ren Debois and Claudio {Di
Ciccio} and Marlon Dumas and Schahram Dustdar and
Avigdor Gal and Luciano Garc{\'\i}a-Ba{\~n}uelos and
Guido Governatori and Richard Hull and Marcello {La
Rosa} and Henrik Leopold and Frank Leymann and Jan
Recker and Manfred Reichert and Hajo A. Reijers and
Stefanie Rinderle-Ma and Andreas Solti and Michael
Rosemann and Stefan Schulte and Munindar P. Singh and
Tijs Slaats and Mark Staples and Barbara Weber and
Matthias Weidlich and Mathias Weske and Xiwei Xu and
Liming Zhu",
title = "Blockchains for Business Process Management ---
Challenges and Opportunities",
journal = j-TMIS,
volume = "9",
number = "1",
pages = "4:1--4:??",
month = feb,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3183367",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Blockchain technology offers a sizable promise to
rethink the way interorganizational business processes
are managed because of its potential to realize
execution without a central party serving as a single
point of trust (and failure). To stimulate research on
this promise and the limits thereof, in this article,
we outline the challenges and opportunities of
blockchain for business process management (BPM). We
first reflect how blockchains could be used in the
context of the established BPM lifecycle and second how
they might become relevant beyond. We conclude our
discourse with a summary of seven research directions
for investigating the application of blockchain
technology in the context of BPM.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zimbra:2018:SAT,
author = "David Zimbra and Ahmed Abbasi and Daniel Zeng and
Hsinchun Chen",
title = "The State-of-the-Art in {Twitter} Sentiment Analysis:
a Review and Benchmark Evaluation",
journal = j-TMIS,
volume = "9",
number = "2",
pages = "5:1--5:??",
month = sep,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3185045",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Twitter has emerged as a major social media platform
and generated great interest from sentiment analysis
researchers. Despite this attention, state-of-the-art
Twitter sentiment analysis approaches perform
relatively poorly with reported classification
accuracies often below 70\%, adversely impacting
applications of the derived sentiment information. In
this research, we investigate the unique challenges
presented by Twitter sentiment analysis and review the
literature to determine how the devised approaches have
addressed these challenges. To assess the
state-of-the-art in Twitter sentiment analysis, we
conduct a benchmark evaluation of 28 top academic and
commercial systems in tweet sentiment classification
across five distinctive data sets. We perform an error
analysis to uncover the causes of commonly occurring
classification errors. To further the evaluation, we
apply select systems in an event detection case study.
Finally, we summarize the key trends and takeaways from
the review and benchmark evaluation and provide
suggestions to guide the design of the next generation
of approaches.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Basole:2018:EDE,
author = "Rahul C. Basole and Arjun Srinivasan and Hyunwoo Park
and Shiv Patel",
title = "{\tt ecoxight}: Discovery, Exploration, and Analysis
of Business Ecosystems Using Interactive
Visualization",
journal = j-TMIS,
volume = "9",
number = "2",
pages = "6:1--6:??",
month = sep,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3185047",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "The term ecosystem is used pervasively in industry,
government, and academia to describe the complex,
dynamic, hyperconnected nature of many social,
economic, and technical systems that exist today.
Ecosystems are characterized by a large, dynamic, and
heterogeneous set of geospatially distributed entities
that are interconnected through various types of
relationships. This study describes the design and
development of ecoxight, a Web-based visualization
platform that provides multiple coordinated views of
multipartite, multiattribute, dynamic, and geospatial
ecosystem data with novel and rich interaction
capabilities to augment decision makers ecosystem
intelligence. The design of ecoxight was informed by an
extensive multiphase field study of executives. The
ecoxight platform not only provides capabilities to
interactively explore and make sense of ecosystems but
also provides rich visual construction capabilities to
help decision makers align their mental model. We
demonstrate the usability, utility, and value of our
system using multiple evaluation studies with
practitioners using socially curated data on the
emerging application programming interface ecosystem.
We report on our findings and conclude with research
implications. Collectively, our study contributes to
design science research at the intersection of
information systems and strategy and the rapidly
emerging field of visual enterprise analytics.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Fan:2018:IES,
author = "Xiangyu Fan and Xi Niu",
title = "Implementing and Evaluating Serendipity in Delivering
Personalized Health Information",
journal = j-TMIS,
volume = "9",
number = "2",
pages = "7:1--7:??",
month = sep,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3205849",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Serendipity has been recognized to have the potential
of enhancing unexpected information discovery. This
study shows that decomposing the concept of serendipity
into unexpectedness and interest is a useful way for
implementing this concept. Experts' domain knowledge
helps in providing serendipitous recommendation, which
can be further improved by adaptively incorporating
users' real-time feedback. This research also conducts
an empirical user-study to analyze the influence of
serendipity in a health news delivery context. A
personalized filtering system named MedSDFilter was
developed, on top of which serendipitous recommendation
was implemented using three approaches: random,
static-knowledge-based, and adaptive-knowledge-based
models. The three different models were compared. The
results indicate that the adaptive-knowledge-based
method has the highest ability in helping people
discover unexpected and interesting contents. The
insights of the research will make researchers and
practitioners rethink the way in which search engines
and recommender systems operate to address the
challenges of discovering unexpected and interesting
information. The outcome will have implications for
empowering ordinary people with more chances of bumping
into beneficial information.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Purao:2018:MLC,
author = "Sandeep Purao and Narasimha Bolloju and Chuan-Hoo
Tan",
title = "A Modeling Language for Conceptual Design of Systems
Integration Solutions",
journal = j-TMIS,
volume = "9",
number = "2",
pages = "8:1--8:??",
month = sep,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3185046",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Systems integration-connecting software systems for
cross-functional work-is a significant concern in many
large organizations, which continue to maintain
hundreds, if not thousands, of independently evolving
software systems. Current approaches in this space
remain ad hoc, and closely tied to technology
platforms. Following a design science approach, and via
multiple design-evaluate cycles, we develop Systems
Integration Requirements Engineering Modeling Language
(SIRE-ML) to address this problem. SIRE-ML builds on
the foundation of coordination theory, and incorporates
important semantic information about the systems
integration domain. The article develops constructs in
SIRE-ML, and a merge algorithm that allows both
functional managers and integration professionals to
contribute to building a systems integration solution.
Integration models built with SIRE-ML provide benefits
such as ensuring coverage and minimizing ambiguity, and
can be used to drive implementation with different
platforms such as middleware, services, and distributed
objects. We evaluate SIRE-ML for ontological
expressiveness and report findings about applicability
check with an expert panel. The article discusses
implications for future research such as tool building
and empirical evaluation, as well as implications for
practice.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{De-Arteaga:2018:MLD,
author = "Maria De-Arteaga and William Herlands and Daniel B.
Neill and Artur Dubrawski",
title = "Machine Learning for the Developing World",
journal = j-TMIS,
volume = "9",
number = "2",
pages = "9:1--9:??",
month = sep,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3210548",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
abstract = "Researchers from across the social and computer
sciences are increasingly using machine learning to
study and address global development challenges. This
article examines the burgeoning field of machine
learning for the developing world (ML4D). First, we
present a review of prominent literature. Next, we
suggest best practices drawn from the literature for
ensuring that ML4D projects are relevant to the
advancement of development objectives. Finally, we
discuss how developing world challenges can motivate
the design of novel machine learning methodologies.
This article provides insights into systematic
differences between ML4D and more traditional machine
learning applications. It also discusses how technical
complications of ML4D can be treated as novel research
questions, how ML4D can motivate new research
directions, and where machine learning can be most
useful.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Ketter:2018:ISS,
author = "Wolfgang Ketter and John Collins and Maytal
Saar-Tsechansky and Ori Marom",
title = "Information Systems for a Smart Electricity Grid:
Emerging Challenges and Opportunities",
journal = j-TMIS,
volume = "9",
number = "3",
pages = "10:1--10:??",
month = nov,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3230712",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3230712",
abstract = "The drive for sustainability as evidenced by the Paris
Accords is forcing a radical re-examination of the way
electricity is produced, managed, and consumed.
Research on sustainable smart electricity markets is
facilitating the emergence of sustainable energy
systems and a revolution in the efficiency and
reliability of electricity consumption, production, and
distribution. Traditional electricity grids and markets
are being disrupted by a range of forces, including the
rise of weather-dependent and distributed renewable
sources, growing consumer involvement in managing their
power consumption and production, and the
electrification of transport. These changes will likely
bring about complex and dynamic smart electricity
markets that rely on analysis of information to inform
stakeholders, and on effective integration of
stakeholders' actions. We outline a research agenda on
how advances in information-intensive processes are
fundamental for facilitating these transformations,
describe the roles that such processes will play, and
discuss Information Systems research challenges
necessary to achieve these goals. These challenges span
public policy, privacy, and security; market
mechanisms; and data-driven decision support. The
diverse challenges we outline also underscore that the
diverse IS research perspective is instrumental for
addressing the complexity and interdisciplinary nature
of this research.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Russo:2018:MMI,
author = "Daniel Russo and Paolo Ciancarini and Tommaso
Falasconi and Massimo Tomasi",
title = "A Meta-Model for Information Systems Quality: a Mixed
Study of the Financial Sector",
journal = j-TMIS,
volume = "9",
number = "3",
pages = "11:1--11:??",
month = nov,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3230713",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3230713",
abstract = "Information Systems Quality (ISQ) is a critical source
of competitive advantages for organizations. In a
scenario of increasing competition on digital services,
ISQ is a competitive differentiation asset. In this
regard, managing, maintaining, and evolving IT
infrastructures have become a primary concern of
organizations. Thus, a technical perspective on ISQ
provides useful guidance to meet current challenges.
The financial sector is paradigmatic, since it is a
traditional business, with highly complex
business-critical legacy systems, facing a tremendous
change due to market and regulation drivers. We carried
out a Mixed-Methods study, performing a Delphi-like
study on the financial sector. We developed a specific
research framework to pursue this vertical study. Data
were collected in four phases starting with a
high-level randomly stratified panel of 13 senior
managers and then a target panel of 124 carefully
selected and well-informed domain experts. We have
identified and dealt with several quality factors; they
were discussed in a comprehensive model inspired by the
ISO 25010, 42010, and 12207 standards, corresponding to
software quality, software architecture, and software
process, respectively. Our results suggest that the
relationship among quality, architecture, and process
is a valuable technical perspective to explain the
quality of an information system. Thus, we introduce
and illustrate a novel meta-model, named SQuAP
(Software Quality, Architecture, Process), which is
intended to give a comprehensive picture of ISQ by
abstracting and connecting detailed individual ISO
models.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zhu:2018:PJF,
author = "Chen Zhu and Hengshu Zhu and Hui Xiong and Chao Ma and
Fang Xie and Pengliang Ding and Pan Li",
title = "Person-Job Fit: Adapting the Right Talent for the
Right Job with Joint Representation Learning",
journal = j-TMIS,
volume = "9",
number = "3",
pages = "12:1--12:??",
month = nov,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3234465",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3234465",
abstract = "Person-Job Fit is the process of matching the right
talent for the right job by identifying talent
competencies that are required for the job. While many
qualitative efforts have been made in related fields,
it still lacks quantitative ways of measuring talent
competencies as well as the job's talent requirements.
To this end, in this article, we propose a novel
end-to-end data-driven model based on a Convolutional
Neural Network (CNN), namely, the Person-Job Fit Neural
Network (PJFNN), for matching a talent qualification to
the requirements of a job. To be specific, PJFNN is a
bipartite neural network that can effectively learn the
joint representation of Person-Job fitness from
historical job applications. In particular, due to the
design of a hierarchical representation structure,
PJFNN can not only estimate whether a candidate fits a
job but also identify which specific requirement items
in the job posting are satisfied by the candidate by
measuring the distances between corresponding latent
representations. Finally, the extensive experiments on
a large-scale real-world dataset clearly validate the
performance of PJFNN in terms of Person-Job Fit
prediction. Also, we provide effective data
visualization to show some job and talent benchmark
insights obtained by PJFNN.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Delano:2018:SDT,
author = "John D. Delano and Hemant K. Jain and Atish P. Sinha",
title = "System Design through the Exploration of Contemporary
{Web} Services",
journal = j-TMIS,
volume = "9",
number = "3",
pages = "13:1--13:??",
month = nov,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3273932",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3273932",
abstract = "In this article, we develop a Contemporary Web Service
(CWS) repository of system designs, which are encoded
as metadata of contemporary web services. We examine if
this CWS repository serves as an effective design tool
for initial CWS design and as an effective support tool
for business users and analysts working together on
system design. The CWS repository reduces the cognitive
load of both the analyst and the business user as they
jointly explore the CWS repository of system designs.
It supports an evolutionary approach to system design
through rapid selection of appropriate CWS metadata. To
accomplish that, we introduce several new design
characteristics for the CWS repository. The evaluation
results demonstrate that the CWS repository is an
effective tool for supporting designers during initial
service design, as well as for supporting business
users and analysts during system design.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lo:2019:PWT,
author = "Kar Kei Lo and Michael Chau",
title = "A Penny Is Worth a Thousand? {Investigating} the
Relationship Between Social Media and Penny Stocks",
journal = j-TMIS,
volume = "9",
number = "4",
pages = "14:1--14:??",
month = mar,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3309704",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3309704",
abstract = "Increasingly more investors are seeking information
from social media to help make investment decisions.
Considering that information on penny stocks is often
less reported in traditional media, investors may rely
more on social media to obtain such information for
investment advice. Although previous research has shown
that stock opinions in traditional media is a possible
predictor of stock returns, no previous research has
considered the effect of the stock opinions in social
media on these stocks in terms of future stock
performance and the moderation effect of penny stocks.
In this research, we studied the relationship between
social media and the financial performance of penny
stocks. We used the net proportion of positive words in
stock articles in social media to help predict the
future stock performance for penny stocks. The
moderation effect of penny stocks on the net fraction
of positive words was found to be significant in short
terms, revealing a stronger relationship between social
media and stock performance at lower price and market
capitalization (MC) levels. Based on the findings, we
proposed simple strategies utilizing social media and
our measure. The results of our applications will be of
interest to individual and institutional investors,
shareholders, and regulators.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Kratzwald:2019:PQA,
author = "Bernhard Kratzwald and Stefan Feuerriegel",
title = "Putting Question-Answering Systems into Practice:
Transfer Learning for Efficient Domain Customization",
journal = j-TMIS,
volume = "9",
number = "4",
pages = "15:1--15:??",
month = mar,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3309706",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3309706",
abstract = "Traditional information retrieval (such as that
offered by web search engines) impedes users with
information overload from extensive result pages and
the need to manually locate the desired information
therein. Conversely, question-answering systems change
how humans interact with information systems: users can
now ask specific questions and obtain a tailored
answer-both conveniently in natural language. Despite
obvious benefits, their use is often limited to an
academic context, largely because of expensive domain
customizations, which means that the performance in
domain-specific applications often fails to meet
expectations. This article proposes cost-efficient
remedies: (i) we leverage metadata through a filtering
mechanism, which increases the precision of document
retrieval, and (ii) we develop a novel
fuse-and-oversample approach for transfer learning to
improve the performance of answer extraction. Here,
knowledge is inductively transferred from related, yet
different, tasks to the domain-specific application,
while accounting for potential differences in the
sample sizes across both tasks. The resulting
performance is demonstrated with actual use cases from
a finance company and the film industry, where fewer
than 400 question-answer pairs had to be annotated to
yield significant performance gains. As a direct
implication to management, this presents a promising
path to better leveraging of knowledge stored in
information systems.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Yu:2019:EAC,
author = "Shuo Yu and Hongyi Zhu and Shan Jiang and Yong Zhang
and Chunxiao Xing and Hsinchun Chen",
title = "Emoticon Analysis for {Chinese} Social Media and
E-commerce: The {AZEmo} System",
journal = j-TMIS,
volume = "9",
number = "4",
pages = "16:1--16:??",
month = mar,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3309707",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Mar 12 16:04:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3309707",
abstract = "This article presents a novel system, AZEmo, which
extracts and classifies emoticons from the ever-growing
critical Chinese social media and E-commerce. An
emoticon is a meta-communicative pictorial
representation of facial expressions, which helps to
describe the sender's emotional state. To complement
non-verbal communication, emoticons are frequently used
in social media websites. However, limited research has
been done to effectively analyze the affects of
emoticons in a Chinese context. In this study, we
developed an emoticon analysis system to extract
emoticons from Chinese text and classify them into one
of seven affect categories. The system is based on a
kinesics model that divides emoticons into semantic
areas (eyes, mouths, etc.), with improvements for
adaptation in the Chinese context. Machine-learning
methods were developed based on feature vector
extraction of emoticons. Empirical tests were conducted
to evaluate the effectiveness of the proposed system in
extracting and classifying emoticons, based on corpora
from a video sharing website and an E-commerce website.
Results showed the effectiveness of the system in
detecting and extracting emoticons from text and in
interpreting the affects conveyed by emoticons.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Hartono:2019:WVD,
author = "Edward Hartono and Clyde W. Holsapple",
title = "{Website} Visual Design Qualities: a Threefold
Framework",
journal = j-TMIS,
volume = "10",
number = "1",
pages = "1:1--1:??",
month = may,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3309708",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:31:35 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3309708",
abstract = "The present study aims to contribute to the
information systems (IS) literature by developing a new
theoretical perspective that integrates three
dimensions of artifact visual design quality-namely
aesthetic, functional, and symbolic dimensions-in the
investigation of website visual design qualities that
influence visitors' attitudes and behaviors. Results
suggest that website aesthetic, functional, and
symbolic qualities positively influence intention to
use the website and positive word of mouth and that
website aesthetic quality positively influences website
functional and symbolic qualities. Results also
demonstrate that functional and symbolic qualities
mediate the relationships between aesthetic quality and
intention to use and positive word of mouth.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Xiong:2019:FES,
author = "Hu Xiong and Yi Wang and Wenchao Li and Chien-Ming
Chen",
title = "Flexible, Efficient, and Secure Access Delegation in
Cloud Computing",
journal = j-TMIS,
volume = "10",
number = "1",
pages = "2:1--2:??",
month = may,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3318212",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:31:35 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3318212",
abstract = "The convenience of the cloud-assisted Internet of
Things has led to the need for improved protections for
the large volumes of data collected from devices around
the world and stored on cloud-based servers. Proxy
re-encryption (PRE) has been presented as a suitable
mechanism for secure transmission and sharing of files
within the cloud. However, existing PRE schemes do not
support unidirectional data transformation,
fine-grained controls, multiple hops, and
identity-based encryption simultaneously. To solve
these problems, we propose a unidirectional multi-hop
identity based-conditional PRE scheme that meets all of
the above requirements. Our proposal has the additional
benefits of a constant ciphertext size,
non-interactivity, and collusion resistance. We also
prove that our scheme is secure against adaptive
identity chosen-ciphertext attacks in the standard
model.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Mohammadi:2019:SAB,
author = "Majid Mohammadi and Wout Hofman and Yao-Hua Tan",
title = "Simulated Annealing-based Ontology Matching",
journal = j-TMIS,
volume = "10",
number = "1",
pages = "3:1--3:??",
month = may,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3314948",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:31:35 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3314948",
abstract = "Ontology alignment is a fundamental task to reconcile
the heterogeneity among various information systems
using distinct information sources. The evolutionary
algorithms (EAs) have been already considered as the
primary strategy to develop an ontology alignment
system. However, such systems have two significant
drawbacks: they either need a ground truth that is
often unavailable, or they utilize the population-based
EAs in a way that they require massive computation and
memory. This article presents a new ontology alignment
system, called SANOM, which uses the well-known
simulated annealing as the principal technique to find
the mappings between two given ontologies while no
ground truth is available. In contrast to
population-based EAs, the simulated annealing need not
generate populations, which makes it significantly
swift and memory-efficient for the ontology alignment
problem. This article models the ontology alignment
problem as optimizing the fitness of a state whose
optimum is obtained by using the simulated annealing. A
complex fitness function is developed that takes
advantage of various similarity metrics including
string, linguistic, and structural similarities. A
randomized warm initialization is specially tailored
for the simulated annealing to expedite its
convergence. The experiments illustrate that SANOM is
competitive with the state-of-the-art and is
significantly superior to other EA-based systems.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Emami:2019:GBA,
author = "Hojjat Emami",
title = "A Graph-based Approach to Person Name Disambiguation
in {Web}",
journal = j-TMIS,
volume = "10",
number = "2",
pages = "4:1--4:??",
month = aug,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3314949",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:32:09 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3314949",
abstract = "This article presents a name disambiguation approach
to resolve ambiguities between person names and group
web pages according to the individuals they refer to.
The proposed approach exploits two important sources of
entity-centric semantic information extracted from web
pages, including personal attributes and social
relationships. It takes as input the web pages that are
results for a person name search. The web pages are
analyzed to extract personal attributes and social
relationships. The personal attributes and social
relationships are mapped into an undirected weighted
graph, called attribute-relationship graph. A
graph-based clustering algorithm is proposed to group
the nodes representing the web pages, each of which
refers to a person entity. The outcome is a set of
clusters such that the web pages within each cluster
refer to the same person. We show the effectiveness of
our approach by evaluating it on large-scale datasets
WePS-1, WePS-2, and WePS-3. Experimental results are
encouraging and show that the proposed method clearly
outperforms several baseline methods and also its
counterparts.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Jiang:2019:MAI,
author = "Jian-Min Jiang and Zhong Hong and Yangyang Chen",
title = "Modeling and Analyzing Incremental Natures of
Developing Software",
journal = j-TMIS,
volume = "10",
number = "2",
pages = "5:1--5:??",
month = aug,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3333535",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:32:09 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3333535",
abstract = "The basic premise of iterative and evolutionary
project management is that a project is divided into
early, frequent, and short duration delivery steps.
Each step attempts to deliver some real value to
stakeholders. The increment size and iteration length
usually depend on profitability, finance, deadline, and
so on, rather than the functionality of a developing
system. It is difficult to guarantee the correctness in
every iteration step. In this article, we propose a
method of ensuring the correctness of iterative design
in terms of deadlock-freedom of the behavior of
software. The method first obtains the correct
(deadlock-free) atomic subsystems of a system using a
decomposition approach. In the iterative development
process, the method then requires that one atomic
subsystem or the composition of multiple atomic
subsystems should be regarded as one increment. Every
increment is naturally correct and can be completely
independently developed, independently deployed, and
independently maintained. The currently released system
in each iteration step is naturally guaranteed to be
correct. It is not necessary for developers to consider
the composition of the increment and the previously
released system may cause flaws and errors. We also
discuss the approach for ensuring correctness when
design modifications are made in an iteration step.
Finally, we explore the automatic decomposition of a
system into multiple atomic subsystems and present the
corresponding algorithm. A case demonstrates these
results.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Jain:2019:ISS,
author = "Hemant Jain and T. S. Raghu and Victoria Yoon and Wei
Thoo Yue",
title = "Introduction to Special Section Based on Papers
Presented at the {Workshop on Information Technology
and Systems, 2017}",
journal = j-TMIS,
volume = "10",
number = "2",
pages = "6:1--6:??",
month = aug,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3342557",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:32:09 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3342557",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6e",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Sutterer:2019:TBP,
author = "Paul Sutterer and Stefan Waldherr and Martin Bichler",
title = "Are Truthful Bidders Paying too Much? {Efficiency} and
Revenue in Display Ad Auctions",
journal = j-TMIS,
volume = "10",
number = "2",
pages = "6:1--6:??",
month = aug,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3325523",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:32:09 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3325523",
abstract = "Display ad auctions have become the predominant means
to allocate user impressions on a website to
advertisers. These auctions are conducted in
milliseconds online, whenever a user visits a website.
The impressions are typically priced via a simple
second-price rule. For single-item auctions, this
Vickrey payment rule is known to be
incentive-compatible. However, it is unclear whether
bidders should still bid truthful in an online auction
where impressions (or items) arrive dynamically over
time and their valuations are not separable, as is the
case with campaign targets or budgets. The allocation
process might not maximize welfare and the payments can
differ substantially from those paid in an offline
auction with a Vickrey-Clarke-Groves (VCG) payment rule
or also competitive equilibrium prices. We study the
properties of the offline problem and model it as a
mathematical program. In numerical experiments, we find
that the welfare achieved in the online auction process
with truthful bidders is high compared to the
theoretical worst-case efficiency, but that the bidders
pay significantly more on average compared to what they
would need to pay in a corresponding offline auction in
thin markets with up to four bidders. However,
incentives for bid shading in these second-price
auctions decrease quickly with additional competition
and bidders risk losing.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Han:2019:CTR,
author = "Xu Han and Niam Yaraghi and Ram Gopal",
title = "Catching Them Red-Handed: Optimizing the Nursing
Homes' Rating System",
journal = j-TMIS,
volume = "10",
number = "2",
pages = "7:1--7:??",
month = aug,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3325522",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:32:09 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3325522",
abstract = "The Centers for Medicare 8 Medicaid Services (CMS)
launched its nursing home rating system in 2008, which
has been widely used among patients, doctors, and
insurance companies since then. The system rates
nursing homes based on a combination of CMS's
inspection results and nursing homes' self-reported
measures. Prior research has shown that the rating
system is subject to inflation in the self-reporting
procedure, leading to biased overall ratings. Given the
limited resources CMS has, it is important to optimize
the inspection process and develop an effective audit
process to detect and deter inflation. We first examine
if the domain that CMS currently inspects is the best
choice in terms of minimizing the population of nursing
homes that can inflate and minimizing the difficulty of
detecting such inflators. To do this, we formulate the
problem mathematically and test the model by using
publicly available CMS data on nursing home ratings. We
show that CMS's current choice of inspection domain is
not optimal if it intends to minimize the number of
nursing homes that can inflate their reports, and CMS
will be better off if it inspects the staffing domain
instead. We also show that CMS's current choice of
inspection domain is only optimal had there been an
audit system in place to complement it. We then design
an audit system for CMS which will be coupled with its
current inspection strategy to either minimize the
initial budget required to conduct the audits or to
maximize the efficiency of the audit process. To design
the audit system, we consider nursing homes' reactions
to different audit policies, and conduct a detailed
simulation study on the optimal audit parameter
settings. Our result suggests that CMS should use a
moderate audit policy in order to carefully balance the
tradeoff between audit net budget and audit
efficiency.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Kartal:2019:DPV,
author = "Hasan B. Kartal and Xiaoping Liu and Xiao-Bai Li",
title = "Differential Privacy for the Vast Majority",
journal = j-TMIS,
volume = "10",
number = "2",
pages = "8:1--8:??",
month = aug,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3329717",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:32:09 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3329717",
abstract = "Differential privacy has become one of the widely used
mechanisms for protecting sensitive information in
databases and information systems. Although
differential privacy provides a clear measure of
privacy guarantee, it implicitly assumes that each
individual corresponds to a single record in the result
of a database query. This assumption may not hold in
many database query applications. When an individual
has multiple records, strict implementation of
differential privacy may cause significant information
loss. In this study, we extend the differential privacy
principle to situations where multiple records in a
database are associated with the same individual. We
propose a new privacy principle that integrates
differential privacy with the Pareto principle in
analyzing privacy risk and data utility. When applied
to the situations with multiple records per person, the
proposed approach can significantly reduce the
information loss in the released query results with a
relatively small relaxation in the differential privacy
guarantee. The effectiveness of the proposed approach
is evaluated using three real-world databases.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Pal:2019:REC,
author = "Ranjan Pal and Leana Golubchik and Konstantions
Psounis and Tathagata Bandyopadhyay",
title = "On Robust Estimates of Correlated Risk in
Cyber-Insured {IT} Firms: a First Look at Optimal
{AI}-Based Estimates under ``Small'' Data",
journal = j-TMIS,
volume = "10",
number = "3",
pages = "9:1--9:??",
month = nov,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3351158",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:28:37 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3351158",
abstract = "In this article, we comment on the drawbacks of the
existing AI-based Bayesian network (BN)
cyber-vulnerability analysis (C-VA) model proposed in
Mukhopadhyay et al. (2013) to assess cyber-risk in IT
firms, where this quantity is usually a joint
distribution of multiple risk (random) variables (e.g.,
quality of antivirus, frequency of monitoring, etc.)
coming from heterogeneous distribution families. As a
major modeling drawback, Mukhopadhyay et al. (2013)
assume that any pair of random variables in the BN are
linearly correlated with each other. This simplistic
assumption might not always hold true for general IT
organizational environments. Thus, the use of the C-VA
model in general will result in loose estimates of
correlated IT risk and will subsequently affect
cyber-insurance companies in framing profitable
coverage policies for IT organizations. To this end, we
propose methods to (1) find a closed-form expression
for the maximal correlation arising between pairs of
discrete random variables, whose value finds importance
in getting robust estimates of copula-induced
computations of organizational cyber-risk, and (2)
arrive at a computationally effective mechanism to
compute nonlinear correlations among pairs of discrete
random variables in the correlation matrix of the CBBN
model (Mukhopadhyay et al. 2013). We also prove that an
empirical computation of MC using our method converges
rapidly, that is, exponentially fast, to the true
correlation value in the number of samples. Our
proposed method contributes to a tighter estimate of IT
cyber-risk under environments of low-risk data
availability and will enable insurers to better assess
organizational risks and subsequently underwrite
profitable cyber-insurance policies.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Zo:2019:SOA,
author = "Hangjung Zo and Derek L. Nazareth and Hemant K. Jain",
title = "Service-oriented Application Composition with
Evolutionary Heuristics and Multiple Criteria",
journal = j-TMIS,
volume = "10",
number = "3",
pages = "10:1--10:??",
month = nov,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3354288",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:28:37 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3354288",
abstract = "The need to create and deploy business application
systems rapidly has sparked interest in using web
services to compose them. When creating
mission-critical business applications through web
service compositions, in addition to ensuring that
functional requirements are met, designers need to
consider the end-to-end reliability, security,
performance, and overall cost of the application. As
the number of available coarse-grain business services
grows, the problem of selecting appropriate services
quickly becomes combinatorially explosive for
realistic-sized business applications. This article
develops a business-process-driven approach for
composing service-oriented applications. We use a
combination of weights to explore the entire QoS
criteria landscape through the use of a multi-criteria
genetic algorithm (GA) to identify a Pareto-optimal
multidimensional frontier that permits managers to
trade off conflicting objectives when selecting a set
of services. We illustrate the effectiveness of the
approach by applying it to a real-world drop-ship
business application and compare its performance to
another GA-based approach for service composition.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Lai:2019:TVK,
author = "Jianwei Lai and Dongsong Zhang and Sen Wang and Isil
Doga Yakut Kilic and Lina Zhou",
title = "{ThumbStroke}: a Virtual Keyboard in Support of
Sight-Free and One-Handed Text Entry on Touchscreen
Mobile Devices",
journal = j-TMIS,
volume = "10",
number = "3",
pages = "11:1--11:??",
month = nov,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3343858",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:28:37 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3343858",
abstract = "The QWERTY keyboard on mobile devices usually requires
users' full visual attention and both hands, which is
not always possible. We propose a thumb-stroke-based
keyboard, ThumbStroke, to support both sight-free and
one-handed text entry. Text entry via ThumbStroke
completely relies on the directions of thumb strokes at
any place on the screen of a mobile device. It does not
require physical press on any specific keys, thus
eliminating the need for visual attention and reducing
errors due to tiny key size, fat thumbs, limited thumb
reachability, and visual occlusion. We empirically
evaluated ThumbStroke through a 20-session longitudinal
controlled lab experiment. ThumbStroke shows advantages
in typing accuracy and user perceptions in comparison
to the Escape and QWERTY keyboards and results in
faster typing speed than QWERTY in sight-free and
one-handed text entry. This study provides novel
research contributions to mobile HCI, advancing the
design of soft keyboards for one-handed interaction
with mobile devices and mobile accessibility.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Kang:2019:HAO,
author = "Yin Kang and Lina Zhou",
title = "Helpfulness Assessment of Online Reviews: The Role of
Semantic Hierarchy of Product Features",
journal = j-TMIS,
volume = "10",
number = "3",
pages = "12:1--12:??",
month = nov,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3365538",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Nov 29 07:28:37 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3365538",
abstract = "Effective use of online consumer reviews is hampered
by uncertainty about their helpfulness. Despite a
growing body of knowledge on indicators of review
helpfulness, previous studies have overlooked rich
semantic information embedded in review content.
Following design science principles, this study
introduces a semantic hierarchy of product features by
probing the review text. Using the hierarchical
framework as a guide, we develop a research model of
review helpfulness assessment. In the model, we propose
and conceptualize three new factors-breadth, depth, and
redundancy, by building on and/or extending product
uncertainty, information quality, signaling, and
encoding variability theories. The model-testing
results lend strong support to the proposed effects of
those factors on review helpfulness. They also reveal
interesting differences in the effects of redundancy
and readability between different types of products.
This study embodies knowledge moments of multiple
genres of inquiry in design science research, which
have multifold research and practical implications.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Park:2019:ECR,
author = "Jiyong Park and Daegon Cho and Jae Kyu Lee and
Byungtae Lee",
title = "The Economics of Cybercrime: The Role of Broadband and
Socioeconomic Status",
journal = j-TMIS,
volume = "10",
number = "4",
pages = "13:1--13:??",
month = dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3351159",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Dec 20 07:16:04 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3351159",
abstract = "Under what conditions is the Internet more likely to
be used maliciously for criminal activity? This study
examines the conditions under which the Internet is
associated with cybercriminal offenses. Using
comprehensive state-level data in the United States
during 2004--2010, our findings show that there is no
clear empirical evidence that the Internet penetration
rate is related to the number of Internet crime
perpetrators; however, cybercriminal activities are
contingent upon socioeconomic factors and connection
speed. Specifically, a higher income, more education, a
lower poverty rate, and a higher inequality are likely
to make the Internet penetration be more positively
related with cybercrime perpetrators, which are indeed
different from the conditions of terrestrial crime in
the real world. In addition, as opposed to narrowband,
the broadband connections are significantly and
positively associated with the number of Internet crime
perpetrators, and it amplifies the aforementioned
moderating effects of socioeconomic status on Internet
crime offenses. Taken together, cybercrime requires
more than just a skilled perpetrator, and it requires
an infrastructure to facilitate profiteering from the
act.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Chung:2019:IMD,
author = "Wingyan Chung and Bingbing Rao and Liqiang Wang",
title = "Interaction Models for Detecting Nodal Activities in
Temporal Social Media Networks",
journal = j-TMIS,
volume = "10",
number = "4",
pages = "14:1--14:??",
month = dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3365537",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Dec 20 07:16:04 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3365537",
abstract = "Detecting nodal activities in dynamic social networks
has strategic importance in many applications, such as
online marketing campaigns and homeland security
surveillance. How peer-to-peer exchanges in social
media can facilitate nodal activity detection is not
well explored. Existing models assume network nodes to
be static in time and do not adequately consider
features from social theories. This research developed
and validated two theory-based models, Random
Interaction Model (RIM) and Preferential Interaction
Model (PIM), to characterize temporal nodal activities
in social media networks of human agents. The models
capture the network characteristics of randomness and
preferential interaction due to community size, human
bias, declining connection cost, and rising
reachability. The models were compared against three
benchmark models (abbreviated as EAM, TAM, and DBMM)
using a social media community consisting of 790,462
users who posted over 3,286,473 tweets and formed more
than 3,055,797 links during 2013-2015. The experimental
results show that both RIM and PIM outperformed EAM and
TAM significantly in accuracy across different dates
and time windows. Both PIM and RIM scored significantly
smaller errors than DBMM did. Structural properties of
social networks were found to provide a simple and yet
accurate approach to predicting model performances.
These results indicate the models' strong capability of
accounting for user interactions in real-world social
media networks and temporal activity detection. The
research should provide new approaches for temporal
network activity detection, develop relevant new
measures, and report new findings from large social
media datasets.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Chen:2019:ESC,
author = "Jiawei Chen and Hongyan Liu and Yinghui (Catherine)
Yang and Jun He",
title = "Effective Selection of a Compact and High-Quality
Review Set with Information Preservation",
journal = j-TMIS,
volume = "10",
number = "4",
pages = "15:1--15:??",
month = dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3369395",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Dec 20 07:16:04 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3369395",
abstract = "Consumers increasingly make informed buying decisions
based on reading online reviews for products and
services. Due to the large volume of available online
reviews, consumers hardly have the time and patience to
read them all. This article aims to select a compact
set of high-quality reviews that can cover a specific
set of product features and related consumer
sentiments. Selecting such a subset of reviews can
significantly save the time spent on reading reviews
while preserving the information needed. A unique
review selection problem is defined and modeled as a
bi-objective combinatorial optimization problem, which
is then transformed into a minimum-cost set cover
problem that is NP-complete. Several approximation
algorithms are then designed, which can sustain
performance guarantees in polynomial time. Our
effective selection algorithms can also be upgraded to
handle dynamic situations. Comprehensive experiments
conducted on twelve real datasets demonstrate that the
proposed algorithms significantly outperform benchmark
methods by generating a more compact review set with
much lower computational cost. The number of reviews
selected is much smaller compared to the quantity of
all available reviews, and the selection efficiency is
deeply increased by accelerating strategies, making it
very practical to adopt the methods in real-world
online applications.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Jannach:2019:MBV,
author = "Dietmar Jannach and Michael Jugovac",
title = "Measuring the Business Value of Recommender Systems",
journal = j-TMIS,
volume = "10",
number = "4",
pages = "16:1--16:??",
month = dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3370082",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Dec 20 07:16:04 MST 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3370082",
abstract = "Recommender Systems are nowadays successfully used by
all major web sites-from e-commerce to social media-to
filter content and make suggestions in a personalized
way. Academic research largely focuses on the value of
recommenders for consumers, e.g., in terms of reduced
information overload. To what extent and in which ways
recommender systems create business value is, however,
much less clear, and the literature on the topic is
scattered. In this research commentary, we review
existing publications on field tests of recommender
systems and report which business-related performance
measures were used in such real-world deployments. We
summarize common challenges of measuring the business
value in practice and critically discuss the value of
algorithmic improvements and offline experiments as
commonly done in academic environments. Overall, our
review indicates that various open questions remain
both regarding the realistic quantification of the
business effects of recommenders and the performance
assessment of recommendation algorithms in academia.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1320",
}
@Article{Li:2020:IIE,
author = "Hongfei Li and Ramesh Shankar and Jan Stallaert",
title = "Invested or Indebted: Ex-ante and Ex-post Reciprocity
in Online Knowledge Sharing Communities",
journal = j-TMIS,
volume = "11",
number = "1",
pages = "1:1--1:26",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3371388",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 21 08:19:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3371388",
abstract = "Online communities that curate knowledge critically
depend on high-quality contributions from anonymous
expert users. Understanding users' motivation to
contribute knowledge helps practitioners design such
websites for optimal user contribution and user
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Rezvani:2020:RRS,
author = "Mohsen Rezvani and Mojtaba Rezvani",
title = "A Randomized Reputation System in the Presence of
Unfair Ratings",
journal = j-TMIS,
volume = "11",
number = "1",
pages = "2:1--2:16",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3384472",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 21 08:19:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3384472",
abstract = "With the increasing popularity of online shopping
markets, a significant number of consumers rely on
these venues to meet their demands while choosing
different products based on the ratings provided by
others. Simultaneously, consumers feel confident
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ni:2020:MLD,
author = "Li Ni and Wenjian Luo and Nannan Lu and Wenjie Zhu",
title = "Mining the Local Dependency Itemset in a Products
Network",
journal = j-TMIS,
volume = "11",
number = "1",
pages = "3:1--3:31",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3384473",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 21 08:19:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3384473",
abstract = "Many studies have been conducted on market basket
analysis such as association rules and dependent
patterns. These studies mainly focus on mining all
significant patterns or patterns directly associated
with a given item in a dataset. The problem that
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Pierazzi:2020:DDC,
author = "Fabio Pierazzi and Ghita Mezzour and Qian Han and
Michele Colajanni and V. S. Subrahmanian",
title = "A Data-driven Characterization of Modern {Android}
Spyware",
journal = j-TMIS,
volume = "11",
number = "1",
pages = "4:1--4:38",
month = apr,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3382158",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Apr 21 08:19:23 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3382158",
abstract = "According to Nokia's 2017 Threat Intelligence Report,
68.5\% of malware targets the Android platform; Windows
is second with 28\%, followed by iOS and other
platforms with 3.5\%. The Android spyware family UAPUSH
was responsible for the most infections, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Pal:2020:WCB,
author = "Ranjan Pal and Konstantinos Psounis and Jon Crowcroft
and Frank Kelly and Pan Hui and Sasu Tarkoma and
Abhishek Kumar and John Kelly and Aritra Chatterjee and
Leana Golubchik and Nishanth Sastry and Bodhibrata
Nag",
title = "When Are Cyber Blackouts in Modern Service Networks
Likely?: a Network Oblivious Theory on Cyber
(Re)Insurance Feasibility",
journal = j-TMIS,
volume = "11",
number = "2",
pages = "5:1--5:38",
month = jul,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3386159",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 10 09:12:15 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3386159",
abstract = "Service liability interconnections among globally
networked IT- and IoT-driven service organizations
create potential channels for cascading service
disruptions worth billions of dollars, due to modern
cyber-crimes such as DDoS, APT, and ransomware
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ermakova:2020:SPR,
author = "Tatiana Ermakova and Benjamin Fabian and Marta
Kornacka and Scott Thiebes and Ali Sunyaev",
title = "Security and Privacy Requirements for Cloud Computing
in Healthcare: Elicitation and Prioritization from a
Patient Perspective",
journal = j-TMIS,
volume = "11",
number = "2",
pages = "6:1--6:29",
month = jul,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3386160",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 10 09:12:15 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3386160",
abstract = "Cloud computing promises essential improvements in
healthcare delivery performance. However, its wide
adoption in healthcare is yet to be seen, one main
reason being patients' concerns for security and
privacy of their sensitive medical records. These
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Lu:2020:AAW,
author = "Haibing Lu and Xi Chen and Junmin Shi and Jaideep
Vaidya and Vijayalakshmi Atluri and Yuan Hong and Wei
Huang",
title = "Algorithms and Applications to Weighted Rank-one
Binary Matrix Factorization",
journal = j-TMIS,
volume = "11",
number = "2",
pages = "7:1--7:33",
month = jul,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3386599",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 10 09:12:15 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3386599",
abstract = "Many applications use data that are better represented
in the binary matrix form, such as click-stream data,
market basket data, document-term data, user-permission
data in access control, and others. Matrix
factorization methods have been widely used \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Unger:2020:CAR,
author = "Moshe Unger and Alexander Tuzhilin and Amit Livne",
title = "Context-Aware Recommendations Based on Deep Learning
Frameworks",
journal = j-TMIS,
volume = "11",
number = "2",
pages = "8:1--8:15",
month = jul,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3386243",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jul 10 09:12:15 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3386243",
abstract = "In this article, we suggest a novel deep learning
recommendation framework that incorporates contextual
information into neural collaborative filtering
recommendation approaches. Since context is often
represented by dynamic and high-dimensional feature
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Dutta:2020:IWS,
author = "Kaushik Dutta and Xiao Fang and Zhengrui (Jeffrey)
Jiang",
title = "Introduction to {WITS 2018} Special Issue in {TMIS}",
journal = j-TMIS,
volume = "11",
number = "3",
pages = "9:1--9:2",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3404392",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 19 07:07:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3404392",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Gopal:2020:RIU,
author = "Ram D. Gopal and Hooman Hidaji and Sule Nur Kutlu and
Raymond A. Patterson and Erik Rolland and Dmitry
Zhdanov",
title = "Real or Not?: Identifying Untrustworthy News Websites
Using Third-party Partnerships",
journal = j-TMIS,
volume = "11",
number = "3",
pages = "10:1--10:20",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3382188",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 19 07:07:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3382188",
abstract = "Untrustworthy content such as fake news and clickbait
have become a pervasive problem on the Internet,
causing significant socio-political problems around the
world. Identifying untrustworthy content is a crucial
step in countering them. The current \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Tan:2020:CPC,
author = "Liling Tan and Maggie Yundi Li and Stanley Kok",
title = "E-Commerce Product Categorization via Machine
Translation",
journal = j-TMIS,
volume = "11",
number = "3",
pages = "11:1--11:14",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3382189",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 19 07:07:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3382189",
abstract = "E-commerce platforms categorize their products into a
multi-level taxonomy tree with thousands of leaf
categories. Conventional methods for product
categorization are typically based on machine learning
classification algorithms. These algorithms take
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Wang:2020:PUP,
author = "Xiangyu Wang and Kang Zhao and Xun Zhou and Nick
Street",
title = "Predicting User Posting Activities in Online Health
Communities with Deep Learning",
journal = j-TMIS,
volume = "11",
number = "3",
pages = "12:1--12:15",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3383780",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 19 07:07:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3383780",
abstract = "Online health communities (OHCs) represent a great
source of social support for patients and their
caregivers. Better predictions of user activities in
OHCs can help improve user engagement and retention,
which are important to manage and sustain a \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Tao:2020:WSW,
author = "Jie Tao and Lina Zhou",
title = "A Weakly Supervised {WordNet-Guided} Deep Learning
Approach to Extracting Aspect Terms from Online
Reviews",
journal = j-TMIS,
volume = "11",
number = "3",
pages = "13:1--13:22",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3399630",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 19 07:07:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3399630",
abstract = "The unstructured nature of online reviews makes it
inefficient and inconvenient for prospective consumers
to research and use in support of purchase decision
making. The aspects of products provide a fine-grained
meaningful perspective for understanding \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Gan:2020:UDM,
author = "Wensheng Gan and Jerry Chun-Wei Lin and Han-Chieh Chao
and Philippe Fournier-Viger and Xuan Wang and Philip S.
Yu",
title = "Utility-Driven Mining of Trend Information for
Intelligent System",
journal = j-TMIS,
volume = "11",
number = "3",
pages = "14:1--14:28",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3391251",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 19 07:07:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3391251",
abstract = "Useful knowledge, embedded in a database, is likely to
change over time. Identifying the recent changes in
temporal data can provide valuable up-to-date
information to decision makers. Nevertheless,
techniques for mining high-utility patterns (HUPs)
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Sreenu:2020:CPP,
author = "Nenavath Sreenu",
title = "Cashless Payment Policy and Its Effects on Economic
Growth of {India}: an Exploratory Study",
journal = j-TMIS,
volume = "11",
number = "3",
pages = "15:1--15:10",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3391402",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 19 07:07:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3391402",
abstract = "The present world has moved from cash transactions to
cashless transactions. This article examines the impact
of implementation of a cashless payment policy on
economic development and gradual transition to a
cashless economy in India. For this study, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Belhadi:2020:TOD,
author = "Asma Belhadi and Youcef Djenouri and Jerry Chun-Wei
Lin and Alberto Cano",
title = "Trajectory Outlier Detection: Algorithms, Taxonomies,
Evaluation, and Open Challenges",
journal = j-TMIS,
volume = "11",
number = "3",
pages = "16:1--16:29",
month = aug,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3399631",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 19 07:07:56 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3399631",
abstract = "Detecting abnormal trajectories is an important task
in research and industrial applications, which has
attracted considerable attention in recent decades.
This work studies the existing trajectory outlier
detection algorithms in different industrial \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Samtani:2020:TAI,
author = "Sagar Samtani and Murat Kantarcioglu and Hsinchun
Chen",
title = "Trailblazing the Artificial Intelligence for
Cybersecurity Discipline: a Multi-Disciplinary Research
Roadmap",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "17:1--17:19",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3430360",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3430360",
abstract = "Cybersecurity has rapidly emerged as a grand societal
challenge of the 21st century. Innovative solutions to
proactively tackle emerging cybersecurity challenges
are essential to ensuring a safe and secure society.
Artificial Intelligence (AI) has \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Mudgerikar:2020:EBI,
author = "Anand Mudgerikar and Puneet Sharma and Elisa Bertino",
title = "Edge-Based Intrusion Detection for {IoT} devices",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "18:1--18:21",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3382159",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3382159",
abstract = "As the Internet of Things (IoT) is estimated to grow
to 25 billion by 2021, there is a need for an effective
and efficient Intrusion Detection System (IDS) for IoT
devices. Traditional network-based IDSs are unable to
efficiently detect IoT malware and \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Husak:2020:PCS,
author = "Martin Hus{\'a}k and Tom{\'a}s Bajtos and Jaroslav
Kaspar and Elias Bou-Harb and Pavel Celeda",
title = "Predictive Cyber Situational Awareness and
Personalized Blacklisting: a Sequential Rule Mining
Approach",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "19:1--19:16",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3386250",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3386250",
abstract = "Cybersecurity adopts data mining for its ability to
extract concealed and indistinct patterns in the data,
such as for the needs of alert correlation. Inferring
common attack patterns and rules from the alerts helps
in understanding the threat landscape \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Alagheband:2020:TBG,
author = "Mahdi R. Alagheband and Atefeh Mashatan and Morteza
Zihayat",
title = "Time-based Gap Analysis of Cybersecurity Trends in
Academic and Digital Media",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "20:1--20:20",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3389684",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3389684",
abstract = "This study analyzes cybersecurity trends and proposes
a conceptual framework to identify cybersecurity topics
of social interest and emerging topics that need to be
addressed by researchers in the field. The insights
drawn from this framework allow for \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Mangino:2020:ISI,
author = "Antonio Mangino and Morteza Safaei Pour and Elias
Bou-Harb",
title = "{Internet}-scale Insecurity of Consumer {Internet of
Things}: an Empirical Measurements Perspective",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "21:1--21:24",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3394504",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3394504",
abstract = "The number of Internet-of-Things (IoT) devices
actively communicating across the Internet is
continually increasing, as these devices are deployed
across a variety of sectors, constantly transferring
private data across the Internet. Due to the \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "21",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Sweet:2020:VVC,
author = "Christopher Sweet and Stephen Moskal and Shanchieh Jay
Yang",
title = "On the Variety and Veracity of Cyber Intrusion Alerts
Synthesized by Generative Adversarial Networks",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "22:1--22:21",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3394503",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3394503",
abstract = "Many cyber attack actions can be observed, but the
observables often exhibit intricate feature
dependencies, non-homogeneity, and potentially rare yet
critical samples. This work tests the ability to learn,
model, and synthesize cyber intrusion alerts \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "22",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Mehrotra:2020:PPD,
author = "Sharad Mehrotra and Shantanu Sharma and Jeffrey D.
Ullman and Dhrubajyoti Ghosh and Peeyush Gupta and
Anurag Mishra",
title = "{PANDA}: Partitioned Data Security on Outsourced
Sensitive and Non-sensitive Data",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "23:1--23:41",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3397521",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3397521",
abstract = "Despite extensive research on cryptography, secure and
efficient query processing over outsourced data remains
an open challenge. This article continues along with
the emerging trend in secure data processing that
recognizes that the entire dataset may \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "23",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Shao:2020:EEA,
author = "Sicong Shao and Cihan Tunc and Amany Al-Shawi and
Salim Hariri",
title = "An Ensemble of Ensembles Approach to Author
Attribution for {Internet} Relay Chat Forensics",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "24:1--24:25",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3409455",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3409455",
abstract = "With the advances in Internet technologies and
services, social media has been gained extreme
popularity, especially because these technologies
provide potential anonymity, which in turn harbors
hacker discussion forums, underground markets, dark
web, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "24",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Kesan:2020:ACI,
author = "Jay P. Kesan and Linfeng Zhang",
title = "Analysis of Cyber Incident Categories Based on
Losses",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "25:1--25:28",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3418288",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3418288",
abstract = "The fact that ``cyber risk'' is indeed a collective
term for various distinct risks creates great
difficulty in communications. For example,
policyholders of ``cyber insurance'' contracts often
have a limited or inaccurate understanding about the
coverage \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "25",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Sainani:2020:IRS,
author = "Henanksha Sainani and Josephine M. Namayanja and
Guneeti Sharma and Vasundhara Misal and Vandana P.
Janeja",
title = "{IP} Reputation Scoring with Geo-Contextual Feature
Augmentation",
journal = j-TMIS,
volume = "11",
number = "4",
pages = "26:1--26:29",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3419373",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:57 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3419373",
abstract = "The focus of this article is to present an effective
anomaly detection model for an encrypted network
session by developing a novel IP reputation scoring
model that labels the incoming session IP address based
on the most similar IP addresses in terms \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "26",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Samtani:2021:MDP,
author = "Sagar Samtani and Murat Kantarcioglu and Hsinchun
Chen",
title = "A Multi-Disciplinary Perspective for Conducting
Artificial Intelligence-enabled Privacy Analytics:
Connecting Data, Algorithms, and Systems",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "1:1--1:18",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3447507",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3447507",
abstract = "Events such as Facebook-Cambridge Analytica scandal
and data aggregation efforts by technology providers
have illustrated how fragile modern society is to
privacy violations. Internationally recognized entities
such as the National Science Foundation \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Zaeem:2021:EGP,
author = "Razieh Nokhbeh Zaeem and K. Suzanne Barber",
title = "The Effect of the {GDPR} on Privacy Policies: Recent
Progress and Future Promise",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "2:1--2:20",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3389685",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3389685",
abstract = "The General Data Protection Regulation (GDPR) is
considered by some to be the most important change in
data privacy regulation in 20 years. Effective May
2018, the European Union GDPR privacy law applies to
any organization that collects and processes \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Sudhakar:2021:DLM,
author = "Tanuja Sudhakar and Marina Gavrilova",
title = "Deep Learning for Multi-instance Biometric Privacy",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "3:1--3:23",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3389683",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3389683",
abstract = "The fundamental goal of a revocable biometric system
is to defend a user's biometrics from being
compromised. This research explores the application of
deep learning or Convolutional Neural Networks to
multi-instance biometrics. Modality features are
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Kul:2021:ACI,
author = "G{\"o}khan Kul and Shambhu Upadhyaya and Andrew
Hughes",
title = "An Analysis of Complexity of Insider Attacks to
Databases",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "4:1--4:18",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3391231",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3391231",
abstract = "Insider attacks are one of the most dangerous threats
to an organization. Unfortunately, they are very
difficult to foresee, detect, and defend against due to
the trust and responsibilities placed on the employees.
In this article, we first define the \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ranathunga:2021:MRM,
author = "Dinesha Ranathunga and Matthew Roughan and Hung
Nguyen",
title = "Mathematical Reconciliation of Medical Privacy
Policies",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "5:1--5:18",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3397520",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/cryptography2020.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3397520",
abstract = "Healthcare data are arguably the most private of
personal data. This very private information in the
wrong hands can lead to identity theft, prescription
fraud, insurance fraud, and an array of other crimes.
Electronic-health systems such as My Health Record in
Australia holds great promise in sharing medical data
and improving healthcare quality. But, a key privacy
issue in these systems is the misuse of healthcare data
by authorities. The recent General Data Protection
Regulation (GDPR) introduced in the EU aims to reduce
personal-data misuse. But, there are no tools currently
available to accurately reconcile a domestic E-health
policy against the GDPR to identify discrepancies.
Reconciling privacy policies is also non-trivial,
because policies are often written in free text, making
them subject to human interpretation.\par
In this article, we propose a tool that allows the
description of E-health privacy policies, represents
them using formal constructs making the policies
precise and explicit. Using this formal framework, our
tool can automatically reconcile a domestic E-health
policy against the GDPR to identify violations and
omissions. We use our prototype to illustrate several
critical flaws in Australia's My Health Record policy,
including a non-compliance with GDPR that allows
healthcare providers to access medical records by
default.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Roy:2021:OER,
author = "Arindam Roy and Shamik Sural and Arun Kumar Majumdar
and Jaideep Vaidya and Vijayalakshmi Atluri",
title = "Optimal Employee Recruitment in Organizations under
Attribute-Based Access Control",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "6:1--6:24",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3403950",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3403950",
abstract = "For any successful business endeavor, recruitment of a
required number of appropriately qualified employees in
proper positions is a key requirement. For effective
utilization of human resources, reorganization of such
workforce assignment is also a \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Akanfe:2021:DIF,
author = "Oluwafemi Akanfe and Rohit Valecha and H. Raghav Rao",
title = "Design of an Inclusive Financial Privacy Index
{(INF-PIE)}: a Financial Privacy and Digital Financial
Inclusion Perspective",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "7:1--7:21",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3403949",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3403949",
abstract = "Financial privacy is an important part of an
individual's privacy, but efforts to enhance financial
privacy have often not been given enough prominence by
some countries when advancing financial inclusion. This
impedes under-served communities from \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Alkhodair:2021:DHE,
author = "Sarah A. Alkhodair and Benjamin C. M. Fung and Steven
H. H. Ding and William K. Cheung and Shih-Chia Huang",
title = "Detecting High-Engaging Breaking News Rumors in Social
Media",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "8:1--8:16",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3416703",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3416703",
abstract = "Users from all over the world increasingly adopt
social media for newsgathering, especially during
breaking news. Breaking news is an unexpected event
that is currently developing. Early stages of breaking
news are usually associated with lots of \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Benedetto:2021:EIC,
author = "Francesco Benedetto and Loretta Mastroeni and
Pierluigi Vellucci",
title = "Extraction of Information Content Exchange in
Financial Markets by an Entropy Analysis",
journal = j-TMIS,
volume = "12",
number = "1",
pages = "9:1--9:16",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3419372",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Mar 20 18:13:58 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3419372",
abstract = "Recently, there has been an explosive interest in the
literature about modeling and forecasting volatility in
financial markets. Many researches have focused on
energy markets and oil volatility index (OVX). In this
article, we aim first at showing if \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ng:2021:LSM,
author = "Ka Chung Ng and Mike K. P. So and Kar Yan Tam",
title = "A Latent Space Modeling Approach to Interfirm
Relationship Analysis",
journal = j-TMIS,
volume = "12",
number = "2",
pages = "10:1--10:44",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3424240",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Jun 27 07:39:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3424240",
abstract = "Interfirm relationships are crucial to our
understanding of firms' collective and interactive
behavior. Many information systems-related phenomena,
including the diffusion of innovations, standard
alliances, technology collaboration, and outsourcing,
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Onumo:2021:AME,
author = "Aristotle Onumo and Irfan Ullah-Awan and Andrea
Cullen",
title = "Assessing the Moderating Effect of Security
Technologies on Employees Compliance with Cybersecurity
Control Procedures",
journal = j-TMIS,
volume = "12",
number = "2",
pages = "11:1--11:29",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3424282",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Jun 27 07:39:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3424282",
abstract = "The increase in cybersecurity threats and the
challenges for organisations to protect their
information technology assets has made adherence to
organisational security control processes and
procedures a critical issue that needs to be adequately
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Belhadi:2021:MLI,
author = "Asma Belhadi and Youcef Djenouri and Djamel Djenouri
and Tomasz Michalak and Jerry Chun-Wei Lin",
title = "Machine Learning for Identifying Group Trajectory
Outliers",
journal = j-TMIS,
volume = "12",
number = "2",
pages = "12:1--12:25",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3430195",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Jun 27 07:39:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3430195",
abstract = "Prior works on the trajectory outlier detection
problem solely consider individual outliers. However,
in real-world scenarios, trajectory outliers can often
appear in groups, e.g., a group of bikes that deviates
to the usual trajectory due to the \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Abdibayev:2021:UWE,
author = "Almas Abdibayev and Dongkai Chen and Haipeng Chen and
Deepti Poluru and V. S. Subrahmanian",
title = "Using Word Embeddings to Deter Intellectual Property
Theft through Automated Generation of Fake Documents",
journal = j-TMIS,
volume = "12",
number = "2",
pages = "13:1--13:22",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3418289",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Jun 27 07:39:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3418289",
abstract = "Theft of intellectual property is a growing
problem-one that is exacerbated by the fact that a
successful compromise of an enterprise might only
become known months after the hack. A recent solution
called FORGE addresses this problem by automatically
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Xue:2021:OOA,
author = "Xingsi Xue and Xiaojing Wu and Junfeng Chen",
title = "Optimizing Ontology Alignment Through an Interactive
Compact Genetic Algorithm",
journal = j-TMIS,
volume = "12",
number = "2",
pages = "14:1--14:17",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3439772",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Jun 27 07:39:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3439772",
abstract = "Ontology provides a shared vocabulary of a domain by
formally representing the meaning of its concepts, the
properties they possess, and the relations among them,
which is the state-of-the-art knowledge modeling
technique. However, the ontologies in the \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Djenouri:2021:EDS,
author = "Youcef Djenouri and Jerry Chun-Wei Lin and Kjetil
N{\o}rv{\aa}g and Heri Ramampiaro and Philip S. Yu",
title = "Exploring Decomposition for Solving Pattern Mining
Problems",
journal = j-TMIS,
volume = "12",
number = "2",
pages = "15:1--15:36",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3439771",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Jun 27 07:39:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3439771",
abstract = "This article introduces a highly efficient pattern
mining technique called Clustering-based Pattern Mining
(CBPM). This technique discovers relevant patterns by
studying the correlation between transactions in the
transaction database based on \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Teng:2021:ENF,
author = "Mingfei Teng and Hengshu Zhu and Chuanren Liu and Hui
Xiong",
title = "Exploiting Network Fusion for Organizational Turnover
Prediction",
journal = j-TMIS,
volume = "12",
number = "2",
pages = "16:1--16:18",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3439770",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Jun 27 07:39:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3439770",
abstract = "As an emerging measure of proactive talent management,
talent turnover prediction is critically important for
companies to attract, engage, and retain talents in
order to prevent the loss of intellectual capital.
While tremendous efforts have been made \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Pal:2021:WCC,
author = "Ranjan Pal and Ziyuan Huang and Sergey Lototsky and
Xinlong Yin and Mingyan Liu and Jon Crowcroft and
Nishanth Sastry and Swades De and Bodhibrata Nag",
title = "Will Catastrophic Cyber-Risk Aggregation Thrive in the
{IoT} Age? {A} Cautionary Economics Tale for
(Re-)Insurers and Likes",
journal = j-TMIS,
volume = "12",
number = "2",
pages = "17:1--17:36",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3446635",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sun Jun 27 07:39:07 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3446635",
abstract = "Service liability interconnections among networked IT
and IoT-driven service organizations create potential
channels for cascading service disruptions due to
modern cybercrimes such as DDoS, APT, and ransomware
attacks. These attacks are known to \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Nakashima:2021:AFS,
author = "Makiya Nakashima and Alex Sim and Youngsoo Kim and
Jonghyun Kim and Jinoh Kim",
title = "Automated Feature Selection for Anomaly Detection in
Network Traffic Data",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "18:1--18:28",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3446636",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3446636",
abstract = "Variable selection (also known as feature selection )
is essential to optimize the learning complexity by
prioritizing features, particularly for a massive,
high-dimensional dataset like network traffic data. In
reality, however, it is not an easy task to \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Qiu:2021:MDP,
author = "Lin Qiu and Sruthi Gorantla and Vaibhav Rajan and
Bernard C. Y. Tan",
title = "Multi-disease Predictive Analytics: a Clinical
Knowledge-aware Approach",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "19:1--19:34",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3447942",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3447942",
abstract = "Multi-Disease Predictive Analytics (MDPA) models
simultaneously predict the risks of multiple diseases
in patients and are valuable in early diagnoses.
Patients tend to have multiple diseases simultaneously
or develop multiple complications over time, and
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Leng:2021:LIC,
author = "Yan Leng and Jinhua Zhao and Haris Koutsopoulos",
title = "Leveraging Individual and Collective Regularity to
Profile and Segment User Locations from Mobile Phone
Data",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "20:1--20:22",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3449042",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3449042",
abstract = "The dynamic monitoring of home and workplace
distribution is a fundamental building block for
improving location-based service systems in
fast-developing cities worldwide. Inferring these
places is challenging; existing approaches rely on
labor-intensive \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Wang:2021:GCN,
author = "Xi Wang and Yibo Chai and Hui Li and Wenbin Wang and
Weishan Sun",
title = "Graph Convolutional Network-based Model for
Incident-related Congestion Prediction: a Case Study of
{Shanghai} Expressways",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "21:1--21:22",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3451356",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3451356",
abstract = "Traffic congestion has become a significant obstacle
to the development of mega cities in China. Although
local governments have used many resources in
constructing road infrastructure, it is still
insufficient for the increasing traffic demands. As a
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "21",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Huang:2021:EEM,
author = "Peng Huang and Henry C. Lucas",
title = "Early Exploration of {MOOCs} in the {U.S}. Higher
Education: an Absorptive Capacity Perspective",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "22:1--22:28",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3456295",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3456295",
abstract = "Advanced information technologies have enabled Massive
Open Online Courses (MOOCs), which have the potential
to transform higher education around the world. Why are
some institutions eager to embrace this
technology-enabled model of teaching, while others
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "22",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Parameshwarappa:2021:ADA,
author = "Pooja Parameshwarappa and Zhiyuan Chen and G{\"u}nes
Koru",
title = "Anonymization of Daily Activity Data by Using
$l$-diversity Privacy Model",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "23:1--23:21",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3456876",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3456876",
abstract = "In the age of IoT, collection of activity data has
become ubiquitous. Publishing activity data can be
quite useful for various purposes such as estimating
the level of assistance required by older adults and
facilitating early diagnosis and treatment of
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "23",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Xie:2021:WLP,
author = "Jiaheng Xie and Bin Zhang and Susan Brown and Daniel
Zeng",
title = "Write Like a Pro or an Amateur? {Effect} of Medical
Language Formality",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "24:1--24:25",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3458752",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3458752",
abstract = "Past years have seen rising engagement among
caregivers in online health communities. Although
studies indicate that this caregiver-generated online
health information benefits patients, how such
information can be perceived easily and correctly
remains \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "24",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Edla:2021:EDL,
author = "Damodar Reddy Edla and Shubham Dodia and Annushree
Bablani and Venkatanareshbabu Kuppili",
title = "An Efficient Deep Learning Paradigm for Deceit
Identification Test on {EEG} Signals",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "25:1--25:20",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3458791",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3458791",
abstract = "Brain-Computer Interface is the collaboration of the
human brain and a device that controls the actions of a
human using brain signals. Applications of
brain-computer interface vary from the field of
entertainment to medical. In this article, a novel
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "25",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Wang:2021:ABB,
author = "Qin Wang and Shiping Chen and Yang Xiang",
title = "Anonymous Blockchain-based System for Consortium",
journal = j-TMIS,
volume = "12",
number = "3",
pages = "26:1--26:25",
month = jul,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3459087",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jul 22 08:13:40 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3459087",
abstract = "Blockchain records transactions with various
protection techniques against tampering. To meet the
requirements on cooperation and anonymity of companies
and organizations, researchers have developed a few
solutions. Ring signature-based schemes allow multiple
participants cooperatively to manage while preserving
their individuals' privacy. However, the solutions
cannot work properly due to the increased computing
complexity along with the expanded group size. In this
article, we propose a Multi-center Anonymous
Blockchain-based (MAB) system, with joint management
for the consortium and privacy protection for the
participants. To achieve that, we formalize the syntax
used by the MAB system and present a general
construction based on a modular design. By applying
cryptographic primitives to each module, we instantiate
our scheme with anonymity and decentralization.
Furthermore, we carry out a comprehensive formal
analysis of our exemplified scheme. A proof of concept
simulation is provided to show the feasibility. The
results demonstrate security and efficiency from both
theoretical perspectives and practical perspectives.",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "26",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Zhao:2021:ISS,
author = "Kang Zhao and Qingpeng Zhang and Sean H. Y. Yuan and
Kelvin Kam-Fai Tsoi",
title = "Introduction to the Special Section on Using {AI} and
Data Science to Handle Pandemics and Related
Disruptions",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "27:1--27:2",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3486969",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3486969",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "27",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Avetisian:2021:CSR,
author = "Manvel Avetisian and Ilya Burenko and Konstantin
Egorov and Vladimir Kokh and Aleksandr Nesterov and
Aleksandr Nikolaev and Alexander Ponomarchuk and Elena
Sokolova and Alex Tuzhilin and Dmitry Umerenkov",
title = "{CoRSAI}: a System for Robust Interpretation of {CT}
Scans of {COVID-19} Patients Using Deep Learning",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "28:1--28:16",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3467471",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3467471",
abstract = "Analysis of chest CT scans can be used in detecting
parts of lungs that are affected by infectious diseases
such as COVID-19. Determining the volume of lungs
affected by lesions is essential for formulating
treatment recommendations and prioritizing \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "28",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Zokaeinikoo:2021:AIA,
author = "Maryam Zokaeinikoo and Pooyan Kazemian and Prasenjit
Mitra and Soundar Kumara",
title = "{AIDCOV}: an Interpretable Artificial Intelligence
Model for Detection of {COVID-19} from Chest
Radiography Images",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "29:1--29:20",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3466690",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3466690",
abstract = "As the Coronavirus Disease 2019 (COVID-19) pandemic
continues to grow globally, testing to detect COVID-19
and isolating individuals who test positive remains the
primary strategy for preventing community spread of the
disease. Therefore, automatic and \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "29",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Liang:2021:USM,
author = "Guanqing Liang and Jingxin Zhao and Helena Yan Ping
Lau and Cane Wing-Ki Leung",
title = "Using Social Media to Analyze Public Concerns and
Policy Responses to {COVID-19} in {Hong Kong}",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "30:1--30:20",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3460124",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3460124",
abstract = "The outbreak of COVID-19 has caused huge economic and
societal disruptions. To fight against the coronavirus,
it is critical for policymakers to take swift and
effective actions. In this article, we take Hong Kong
as a case study, aiming to leverage \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "30",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Biester:2021:UIC,
author = "Laura Biester and Katie Matton and Janarthanan
Rajendran and Emily Mower Provost and Rada Mihalcea",
title = "Understanding the Impact of {COVID-19} on Online
Mental Health Forums",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "31:1--31:28",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3458770",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3458770",
abstract = "Like many of the disasters that have preceded it, the
COVID-19 pandemic is likely to have a profound impact
on people's mental health. Understanding its impact can
inform strategies for mitigating negative consequences.
This work seeks to better \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "31",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Gu:2021:SFR,
author = "Kang Gu and Soroush Vosoughi and Temiloluwa Prioleau",
title = "{SymptomID}: a Framework for Rapid Symptom
Identification in Pandemics Using News Reports",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "32:1--32:17",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3462441",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3462441",
abstract = "The ability to quickly learn fundamentals about a new
infectious disease, such as how it is transmitted, the
incubation period, and related symptoms, is crucial in
any novel pandemic. For instance, rapid identification
of symptoms can enable interventions \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "32",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Zhu:2021:HRS,
author = "Shixiang Zhu and Alexander Bukharin and Liyan Xie and
Mauricio Santillana and Shihao Yang and Yao Xie",
title = "High-Resolution Spatio-Temporal Model for County-Level
{COVID-19} Activity in the {U.S}.",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "33:1--33:20",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3468876",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3468876",
abstract = "We present an interpretable high-resolution
spatio-temporal model to estimate COVID-19 deaths
together with confirmed cases 1 week ahead of the
current time, at the county level and weekly
aggregated, in the United States. A notable feature of
our spatio-. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "33",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Li:2021:CSS,
author = "Junye Li and Aryan Sharma and Deepak Mishra and
Gustavo Batista and Aruna Seneviratne",
title = "{COVID}-Safe Spatial Occupancy Monitoring Using
{OFDM}-Based Features and Passive {WiFi} Samples",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "34:1--34:24",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3472668",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3472668",
abstract = "During the COVID-19 pandemic, authorities have been
asking for social distancing to prevent transmission of
the virus. However, enforcing such distancing has been
challenging in tight spaces such as elevators and
unmonitored commercial settings such as \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "34",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Kharkwal:2021:UOD,
author = "Himanshu Kharkwal and Dakota Olson and Jiali Huang and
Abhiraj Mohan and Ankur Mani and Jaideep Srivastava",
title = "University Operations During a Pandemic: a Flexible
Decision Analysis Toolkit",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "35:1--35:24",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3460125",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3460125",
abstract = "Modeling infection spread during pandemics is not new,
with models using past data to tune simulation
parameters for predictions. These help in understanding
of the healthcare burden posed by a pandemic and
responding accordingly. However, the problem of
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "35",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ouyang:2021:DRS,
author = "Chun Ouyang and Michael Adams and Arthur H. M. Ter
Hofstede and Yang Yu",
title = "Design and Realisation of Scalable Business Process
Management Systems for Deployment in the Cloud",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "36:1--36:26",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3460123",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3460123",
abstract = "Business Process Management Systems (BPMSs) provide
automated support for the execution of business
processes in modern organisations. With the emergence
of cloud computing, BPMS deployment considerations are
shifting from traditional on-premise models to
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "36",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chakraborty:2021:MLA,
author = "Saurav Chakraborty and Agnieszka Onuchowska and Sagar
Samtani and Wolfgang Jank and Brandon Wolfram",
title = "Machine Learning for Automated Industrial {IoT} Attack
Detection: an Efficiency-Complexity Trade-off",
journal = j-TMIS,
volume = "12",
number = "4",
pages = "37:1--37:28",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3460822",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Oct 27 15:36:00 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3460822",
abstract = "Critical city infrastructures that depend on smart
Industrial Internet of Things (IoT) devices have been
increasingly becoming a target of cyberterrorist or
hacker attacks. Although this has led to multiple
studies in the recent past, there exists a \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "37",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Cwei:2022:ISI,
author = "Lin Jerry Cwei and Nachiketa Sahoo and Gautam
Srivastava and Weiping Ding",
title = "Introduction to the Special Issue on Pattern-Driven
Mining, Analytics, and Prediction for Decision Making,
{Part 1}",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "1:1--1:3",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3486960",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3486960",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Wang:2022:DDS,
author = "Shui-Hua Wang and Xin Zhang and Yu-Dong Zhang",
title = "{DSSAE}: Deep Stacked Sparse Autoencoder Analytical
Model for {COVID-19} Diagnosis by Fractional {Fourier}
Entropy",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "2:1--2:20",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3451357",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3451357",
abstract = "(Aim) COVID-19 has caused more than 2.28 million
deaths till 4/Feb/2021 while it is still spreading
across the world. This study proposed a novel
artificial intelligence model to diagnose COVID-19
based on chest CT images. (Methods) First, the two-.
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chen:2022:TDT,
author = "Fan Chen and Jiaoxiong Xia and Honghao Gao and Huahu
Xu and Wei Wei",
title = "{TRG-DAtt}: The Target Relational Graph and Double
Attention Network Based Sentiment Analysis and
Prediction for Supporting Decision Making",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "3:1--3:25",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3462442",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3462442",
abstract = "The management of public opinion and the use of big
data monitoring to accurately judge and verify all
kinds of information are valuable aspects in the
enterprise management decision-making process. The
sentiment analysis of reviews is a key decision-.
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Nawaz:2022:MHU,
author = "M. Saqib Nawaz and Philippe Fournier-Viger and Unil
Yun and Youxi Wu and Wei Song",
title = "Mining High Utility Itemsets with {Hill} Climbing and
Simulated Annealing",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "4:1--4:22",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3462636",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3462636",
abstract = "High utility itemset mining (HUIM) is the task of
finding all items set, purchased together, that
generate a high profit in a transaction database. In
the past, several algorithms have been developed to
mine high utility itemsets (HUIs). However, most of
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Niu:2022:CMT,
author = "Shuteng Niu and Yushan Jiang and Bowen Chen and Jian
Wang and Yongxin Liu and Houbing Song",
title = "Cross-Modality Transfer Learning for Image-Text
Information Management",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "5:1--5:14",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3464324",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3464324",
abstract = "In the past decades, information from all kinds of
data has been on a rapid increase. With
state-of-the-art performance, machine learning
algorithms have been beneficial for information
management. However, insufficient supervised training
data is still \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chen:2022:ABV,
author = "Mu-Yen Chen and Min-Hsuan Fan and Li-Xiang Huang",
title = "{AI}-Based Vehicular Network toward {6G} and {IoT}:
Deep Learning Approaches",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "6:1--6:12",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3466691",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3466691",
abstract = "In recent years, vehicular networks have become
increasingly large, heterogeneous, and dynamic, making
it difficult to meet strict requirements of ultralow
latency, high reliability, high security, and massive
connections for next generation (6G) \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Lv:2022:NML,
author = "Zhihan Lv and Ranran Lou and Hailin Feng and Dongliang
Chen and Haibin Lv",
title = "Novel Machine Learning for Big Data Analytics in
Intelligent Support Information Management Systems",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "7:1--7:21",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3469890",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3469890",
abstract = "Two-dimensional$^1$ arrays of bi-component structures
made of cobalt and permalloy elliptical dots with
thickness of 25 nm, length 1 mm and width of 225 nm,
have been prepared by a self-aligned shadow deposition
technique. Brillouin light scattering has been
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Kumar:2022:DBP,
author = "Ankit Kumar and Abhishek Kumar and Ali Kashif Bashir
and Mamoon Rashid and V. D. Ambeth Kumar and Rupak
Kharel",
title = "Distance Based Pattern Driven Mining for Outlier
Detection in High Dimensional Big Dataset",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "8:1--8:17",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3469891",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3469891",
abstract = "Detection of outliers or anomalies is one of the vital
issues in pattern-driven data mining. Outlier detection
detects the inconsistent behavior of individual
objects. It is an important sector in the data mining
field with several different applications \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chowdhury:2022:NAM,
author = "Mohammad Ehsan Shahmi Chowdhury and Chowdhury Farhan
Ahmed and Carson K. Leung",
title = "A New Approach for Mining Correlated Frequent
Subgraphs",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "9:1--9:28",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3473042",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3473042",
abstract = "Nowadays graphical datasets are having a vast amount
of applications. As a result, graph mining-mining graph
datasets to extract frequent subgraphs-has proven to be
crucial in numerous aspects. It is important to perform
correlation analysis among the \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Wen:2022:KFA,
author = "Bo Wen and Paul Jen-Hwa Hu and Mohammadreza Ebrahimi
and Hsinchun Chen",
title = "Key Factors Affecting User Adoption of Open-Access
Data Repositories in Intelligence and Security
Informatics: an Affordance Perspective",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "10:1--10:24",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3460823",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3460823",
abstract = "Rich, diverse cybersecurity data are critical for
efforts by the intelligence and security informatics
(ISI) community. Although open-access data repositories
(OADRs) provide tremendous benefits for ISI researchers
and practitioners, determinants of their \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Elkoumy:2022:PCP,
author = "Gamal Elkoumy and Stephan A. Fahrenkrog-Petersen and
Mohammadreza Fani Sani and Agnes Koschmider and Felix
Mannhardt and Saskia Nu{\~n}ez Von Voigt and Majid
Rafiei and Leopold {Von Waldthausen}",
title = "Privacy and Confidentiality in Process Mining: Threats
and Research Challenges",
journal = j-TMIS,
volume = "13",
number = "1",
pages = "11:1--11:17",
month = mar,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3468877",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Jan 7 07:41:54 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3468877",
abstract = "Privacy and confidentiality are very important
prerequisites for applying process mining to comply
with regulations and keep company secrets. This article
provides a foundation for future research on
privacy-preserving and confidential process mining
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Sun:2022:DAM,
author = "Bo Sun and Takeshi Takahashi and Tao Ban and Daisuke
Inoue",
title = "Detecting {Android} Malware and Classifying Its
Families in Large-scale Datasets",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "12:1--12:21",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3464323",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3464323",
abstract = "To relieve the burden of security analysts, Android
malware detection and its family classification need to
be automated. There are many previous works focusing on
using machine (or deep) learning technology to tackle
these two important issues, but as \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Marshall:2022:MLS,
author = "Byron Marshall and Michael Curry and Robert E.
Crossler and John Correia",
title = "Machine Learning and Survey-based Predictors of
{InfoSec} Non-Compliance",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "13:1--13:20",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3466689",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3466689",
abstract = "Survey items developed in behavioral Information
Security (InfoSec) research should be practically
useful in identifying individuals who are likely to
create risk by failing to comply with InfoSec guidance.
The literature shows that attitudes, beliefs,
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Xie:2022:RPP,
author = "Jiaheng Xie and Bin Zhang and Jian Ma and Daniel Zeng
and Jenny Lo-Ciganic",
title = "Readmission Prediction for Patients with Heterogeneous
Medical History: a Trajectory-Based Deep Learning
Approach",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "14:1--14:27",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3468780",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3468780",
abstract = "Hospital readmission refers to the situation where a
patient is re-hospitalized with the same primary
diagnosis within a specific time interval after
discharge. Hospital readmission causes \$26 billion
preventable expenses to the U.S. health systems
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{He:2022:MAC,
author = "Luo He and Hongyan Liu and Yinghui Yang and Bei Wang",
title = "A Multi-attention Collaborative Deep Learning Approach
for Blood Pressure Prediction",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "15:1--15:20",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3471571",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3471571",
abstract = "We develop a deep learning model based on Long
Short-term Memory (LSTM) to predict blood pressure
based on a unique data set collected from physical
examination centers capturing comprehensive multi-year
physical examination and lab results. In the Multi-.
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Tang:2022:QLW,
author = "Yan Tang and Weilong Cui and Jianwen Su",
title = "A Query Language for Workflow Logs",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "16:1--16:28",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3482968",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3482968",
abstract = "A business process (workflow) is an assembly of tasks
to accomplish a business goal. Real-world workflow
models often demanded to change due to new laws and
policies, changes in the environment, and so on. To
understand the inner workings of a business \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Huang:2022:IMA,
author = "Shi Ming Huang and David C. Yen and Ting Jyun Yan and
Yi Ting Yang",
title = "An Intelligent Mechanism to Automatically Discover
Emerging Technology Trends: Exploring Regulatory
Technology",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "17:1--17:29",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3485187",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3485187",
abstract = "Technology trend analysis uses data relevant to
historical performance and extrapolates it to estimate
and assess the future potential of technology. Such
analysis is used to analyze emerging technologies or
predict the growing markets that influence the
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Miksa:2022:ARD,
author = "Tomasz Miksa and Simon Oblasser and Andreas Rauber",
title = "Automating Research Data Management Using
Machine-Actionable Data Management Plans",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "18:1--18:22",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3490396",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3490396",
abstract = "Many research funders mandate researchers to create
and maintain data management plans (DMPs) for research
projects that describe how research data is managed to
ensure its reusability. A DMP, being a static textual
document, is difficult to act upon and \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Li:2022:IBS,
author = "Guangrui (Kayla) Li and Mike K. P. So and Kar Yan
Tam",
title = "Identifying the Big Shots --- a Quantile-Matching Way
in the Big Data Context",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "19:1--19:30",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3490395",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3490395",
abstract = "The prevalence of big data has raised significant
epistemological concerns in information systems
research. This study addresses two of them-the deflated
p -value problem and the role of explanation and
prediction. To address the deflated p -value problem,
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Wu:2022:EST,
author = "Xindong Wu and Xingquan Zhu and Minghui Wu",
title = "The Evolution of Search: Three Computing Paradigms",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "20:1--20:20",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3495214",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3495214",
abstract = "Search is probably the most common activity that
humans conduct all the time. A search target can be a
concrete item (with a yes or no answer and location
information), an abstract concept (such as the most
important information on the Web about Xindong
\ldots{}).",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Zhang:2022:CDW,
author = "Ning Zhang and Mohammadreza Ebrahimi and Weifeng Li
and Hsinchun Chen",
title = "Counteracting Dark {Web} Text-Based {CAPTCHA} with
Generative Adversarial Learning for Proactive Cyber
Threat Intelligence",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "21:1--21:21",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3505226",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3505226",
abstract = "Automated monitoring of dark web (DW) platforms on a
large scale is the first step toward developing
proactive Cyber Threat Intelligence (CTI). While there
are efficient methods for collecting data from the
surface web, large-scale dark web data \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "21",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Werder:2022:EDP,
author = "Karl Werder and Balasubramaniam Ramesh and Rongen
(Sophia) Zhang",
title = "Establishing Data Provenance for Responsible
Artificial Intelligence Systems",
journal = j-TMIS,
volume = "13",
number = "2",
pages = "22:1--22:23",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3503488",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Fri Mar 25 07:15:03 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3503488",
abstract = "Data provenance, a record that describes the origins
and processing of data, offers new promises in the
increasingly important role of artificial intelligence
(AI)-based systems in guiding human decision making. To
avoid disastrous outcomes that can \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "22",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Lin:2022:ISI,
author = "Jerry Chun-Wei Lin and Nachiketa Sahoo and Gautam
Srivastava and Weiping Ding",
title = "Introduction to the Special Issue on Pattern-Driven
Mining, Analytics, and Prediction for Decision Making,
{Part II}",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "23:1--23:3",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3512468",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3512468",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "23",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ebrahimi:2022:QCS,
author = "Maryam Ebrahimi and Mohammad Hesam Tadayon and
Mohammad Sayad Haghighi and Alireza Jolfaei",
title = "A Quantitative Comparative Study of Data-oriented
Trust Management Schemes in {Internet of Things}",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "24:1--24:30",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3476248",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3476248",
abstract = "In the Internet of Things (IoT) paradigm, all entities
in the IoT network, whether home users or industrial
things, receive data from other things to make
decisions. However, in the decentralized,
heterogeneous, and rapidly changing IoT network with
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "24",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Wu:2022:OMS,
author = "Youxi Wu and Xiaohui Wang and Yan Li and Lei Guo and
Zhao Li and Ji Zhang and Xindong Wu",
title = "{OWSP-Miner}: Self-adaptive One-off Weak-gap Strong
Pattern Mining",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "25:1--25:23",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3476247",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3476247",
abstract = "Gap constraint sequential pattern mining (SPM), as a
kind of repetitive SPM, can avoid mining too many
useless patterns. However, this method is difficult for
users to set a suitable gap without prior knowledge and
each character is considered to have the \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "25",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Gao:2022:FEH,
author = "Yuan Gao and Laurence T. Yang and Yaliang Zhao and
Jing Yang",
title = "Feature Extraction of High-dimensional Data Based on
{J-HOSVD} for Cyber-Physical-Social Systems",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "26:1--26:21",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3483448",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3483448",
abstract = "With the further integration of Cyber-Physical-Social
systems (CPSSs), there is explosive growth of the data
in CPSSs. How to discover effective information or
knowledge from CPSSs big data and provide support for
subsequent learning tasks has become a \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "26",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Hsieh:2022:DFR,
author = "Hsun-Ping Hsieh and Fandel Lin and Nai-Yu Chen and
Tzu-Hsin Yang",
title = "A Decision Framework to Recommend Cruising Locations
for Taxi Drivers under the Constraint of Booking
Information",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "27:1--27:30",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3490687",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3490687",
abstract = "As the demand for taxi reservation services has
increased, increasing the income of taxi drivers with
advanced services has attracted attention. In this
article, we propose a path decision framework that
considers real-time spatial-temporal predictions
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "27",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Pika:2022:CBP,
author = "Anastasiia Pika and Chun Ouyang and Arthur H. M. ter
Hofstede",
title = "Configurable Batch-Processing Discovery from Event
Logs",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "28:1--28:25",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3490394",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3490394",
abstract = "Batch processing is used in many production and
service processes and can help achieve efficiencies of
scale; however, it can also increase inventories and
introduce process delays. Before organizations can
develop good understanding about the effects of
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "28",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Rashid:2022:ADC,
author = "A. N. M. Bazlur Rashid and Mohiuddin Ahmed and Leslie
F. Sikos and Paul Haskell-Dowland",
title = "Anomaly Detection in Cybersecurity Datasets via
Cooperative Co-evolution-based Feature Selection",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "29:1--29:39",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3495165",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3495165",
abstract = "Anomaly detection from Big Cybersecurity Datasets is
very important; however, this is a very challenging and
computationally expensive task. Feature selection (FS)
is an approach to remove irrelevant and redundant
features and select a subset of features, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "29",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Liu:2022:EFP,
author = "Xin Liu and Liang Zheng and Weishan Zhang and Jiehan
Zhou and Shuai Cao and Shaowen Yu",
title = "An Evolutive Frequent Pattern Tree-based Incremental
Knowledge Discovery Algorithm",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "30:1--30:20",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3495213",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3495213",
abstract = "To understand current situation in specific scenarios,
valuable knowledge should be mined from both historical
data and emerging new data. However, most existing
algorithms take the historical data and the emerging
data as a whole and periodically repeat \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "30",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Corradini:2022:ETA,
author = "Flavio Corradini and Alessandro Marcelletti and Andrea
Morichetta and Andrea Polini and Barbara Re and
Francesco Tiezzi",
title = "Engineering Trustable and Auditable Choreography-based
Systems Using Blockchain",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "31:1--31:53",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3505225",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3505225",
abstract = "A key challenge in engineering distributed systems
consists in the integration into their development of a
decentralised infrastructure allowing the system
participants to trust each other. In this article, we
face such a challenge by proposing a model-. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "31",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Yeo:2022:HCD,
author = "M. Lisa Yeo and Erik Rolland and Jacquelyn Rees Ulmer
and Raymond A. Patterson",
title = "How Customer Demand Reactions Impact Technology
Innovation and Security",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "32:1--32:17",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3505227",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3505227",
abstract = "Innovation is a very important concern for both
managers and governmental policy makers. There is an
important interplay between security and technology
innovation that is largely unrecognized in the
literature. This research considers the case where
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "32",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ma:2022:SME,
author = "Wanlun Ma and Xiangyu Hu and Chao Chen and Sheng Wen
and Kkwang Raymond Choo and Yang Xiang",
title = "Social Media Event Prediction using {DNN} with
Feedback Mechanism",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "33:1--33:24",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3522759",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3522759",
abstract = "Online social networks (OSNs) are a rich source of
information, and the data (including user-generated
content) can be mined to facilitate real-world event
prediction. However, the dynamic nature of OSNs and the
fast-pace nature of social events or hot \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "33",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Adomavicius:2022:IBE,
author = "Gediminas Adomavicius and Mochen Yang",
title = "Integrating Behavioral, Economic, and Technical
Insights to Understand and Address Algorithmic Bias: a
Human-Centric Perspective",
journal = j-TMIS,
volume = "13",
number = "3",
pages = "34:1--34:27",
month = sep,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3519420",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Jun 2 07:44:18 MDT 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3519420",
abstract = "Many important decisions are increasingly being made
with the help of information systems that use
artificial intelligence and machine learning models.
These computational models are designed to discover
useful patterns from large amounts of data, which
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "34",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chen:2022:ISI,
author = "Mu-Yen Chen and Bhavani Thuraisingham and Erol
Egrioglu and Jose {De Jesus Rubio}",
title = "Introduction to the Special Issue on Smart Systems for
{Industry 4.0} and {IoT}",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "35:1--35:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3583985",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3583985",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "35",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Romero:2022:IDP,
author = "Esteban Elias Romero and Carlos David Camacho and
Carlos Enrique Montenegro and {\'O}scar Esneider Acosta
and Rub{\'e}n Gonz{\'a}lez Crespo and Elvis Eduardo
Gaona and Marcelo Herrera Mart{\'\i}nez",
title = "Integration of {DevOps} Practices on a Noise Monitor
System with {CircleCI} and {Terraform}",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "36:1--36:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3505228",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3505228",
abstract = "Lowering pollution levels is one of the main
principles of Sustainable Development goals dictated by
the United Nations. Consequently, developments on noise
monitoring contribute in great manner to this purpose,
since they give the opportunity to \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "36",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ren:2022:AMD,
author = "Bin Ren and Yuquiang Chen and Fujie Wang",
title = "Application Massive Data Processing Platform for Smart
Manufacturing Based on Optimization of Data Storage",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "37:1--37:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3508395",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3508395",
abstract = "The aim of smart manufacturing is to reduce manpower
requirements of the production line by applying
technology of huge amounts of data to the manufacturing
industry. Smart manufacturing is also called Industry
4.0, and the platform for processing huge \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "37",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Liu:2022:PDX,
author = "Genggeng Liu and Yuhan Zhu and Saijuan Xu and Hao Tang
and Yeh-Cheng Chen",
title = "Performance-Driven {X}-Architecture Routing Algorithm
for Artificial Intelligence Chip Design in Smart
Manufacturing",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "38:1--38:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3519422",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3519422",
abstract = "The new 7-nm Artificial Intelligence (AI) chip is an
important milestone recently announced by the IBM
research team, with a very important optimization goal
of performance. This chip technology can be extended to
various business scenarios in the \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "38",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Lv:2022:CIS,
author = "Zhihan Lv and Dongliang Chen and Hailin Feng and Amit
Kumar Singh and Wei Wei and Haibin Lv",
title = "Computational Intelligence in Security of Digital
Twins Big Graphic Data in Cyber-physical Systems of
Smart Cities",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "39:1--39:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3522760",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3522760",
abstract = "This investigation focuses on the application of
computational intelligence to the security of Digital
Twins (DTs) graphic data of the Cyber-physical System
(CPS). The intricate and diverse physical space of CPS
in the smart city is mapped in virtual \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "39",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chen:2022:CIM,
author = "Rongli Chen and Xiaozhong Chen and Lei Wang and
Jianxin Li",
title = "The Core Industry Manufacturing Process of Electronics
Assembly Based on Smart Manufacturing",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "40:1--40:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3529098",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3529098",
abstract = "This research takes a case study approach to show the
development of a diverse adoption and product strategy
distinct from the core manufacturing industry process.
It explains the development status in all aspects of
smart manufacturing, via the example \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "40",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Liu:2022:TSC,
author = "Genggeng Liu and Ruping Zhou and Saijuan Xu and Yuhan
Zhu and Wenzhong Guo and Yeh-Cheng Chen and Guolong
Chen",
title = "Two-Stage Competitive Particle Swarm Optimization
Based Timing-Driven {X}-Routing for {IC} Design Under
Smart Manufacturing",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "41:1--41:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3531328",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3531328",
abstract = "As timing delay becomes a critical issue in chip
performance, there is a burning desire for IC design
under smart manufacturing to optimize the delay. As the
best connection model for multi-terminal nets, the
wirelength and the maximum source-to-sink \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "41",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Du:2022:SWI,
author = "Xin Du and Songtao Tang and Zhihui Lu and Keke Gai and
Jie Wu and Patrick C. K. Hung",
title = "Scientific Workflows in {IoT} Environments: a Data
Placement Strategy Based on Heterogeneous Edge-Cloud
Computing",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "42:1--42:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3531327",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3531327",
abstract = "In Industry 4.0 and Internet of Things (IoT)
environments, the heterogeneous edge-cloud computing
paradigm can provide a more proper solution to deploy
scientific workflows compared to cloud computing or
other traditional distributed computing. Owing to
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "42",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Lin:2022:SSJ,
author = "Qi Lin and Wensheng Gan and Yongdong Wu and Jiahui
Chen and Chien-Ming Chen",
title = "Smart System: Joint Utility and Frequency for Pattern
Classification",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "43:1--43:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3531480",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3531480",
abstract = "Nowadays, the environments of smart systems for
Industry 4.0 and Internet of Things are experiencing
fast industrial upgrading. Big data technologies such
as design making, event detection, and classification
are developed to help manufacturing \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "43",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Parameswarath:2022:UEP,
author = "Rohini Poolat Parameswarath and Prosanta Gope and
Biplab Sikdar",
title = "User-empowered Privacy-preserving Authentication
Protocol for Electric Vehicle Charging Based on
Decentralized Identity and Verifiable Credential",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "44:1--44:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3532869",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3532869",
abstract = "The use of Electric Vehicles (EVs) has been gaining
traction in recent years due to various reasons. While
charging their EVs, users expose their identity and
personal details, and an adversary being able to
identify and track where users charge their EVs
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "44",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Nong:2022:ARC,
author = "Mengxin Nong and Lingfeng Huang and Mingtao Liu",
title = "Allocation of Resources for Cloud Survivability in
Smart Manufacturing",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "45:1--45:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3533701",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3533701",
abstract = "With the development of virtualization technology,
cloud computing has emerged as a powerful and flexible
platform for various services such as online trading.
However, there are concerns about the survivability of
cloud services in smart manufacturing. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "45",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ahmed:2022:HEA,
author = "Usman Ahmed and Jerry Chun-Wei Lin and Gautam
Srivastava",
title = "Heterogeneous Energy-aware Load Balancing for
{Industry 4.0} and {IoT} Environments",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "46:1--46:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3543859",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3543859",
abstract = "With the improvement of global infrastructure,
Cyber-Physical Systems (CPS) have become an important
component of Industry 4.0. Both the application as well
as the machine work together to improve the task of
interdependencies. Machine learning methods in
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "46",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chen:2022:RUB,
author = "Yu-Chia Chen and Sin-Ye Jhong and Chih-Hsien Hsia",
title = "Roadside Unit-based Unknown Object Detection in
Adverse Weather Conditions for Smart {Internet of
Vehicles}",
journal = j-TMIS,
volume = "13",
number = "4",
pages = "47:1--47:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3554923",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:44 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3554923",
abstract = "For Internet of Vehicles applications, reliable
autonomous driving systems usually perform the majority
of their computations on the cloud due to the limited
computing power of edge devices. The communication
delay between cloud platforms and edge devices,.
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "47",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Janiesch:2023:AUP,
author = "Christian Janiesch and Marcus Fischer and Florian
Imgrund and Adrian Hofmann and Axel Winkelmann",
title = "An Architecture Using Payment Channel Networks for
Blockchain-based {Wi-Fi} Sharing",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3529097",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3529097",
abstract = "Enabling Internet access while taking load of mobile
networks, the concept of Wi-Fi sharing holds much
potential. While trust-based concepts require a trusted
intermediary and cannot prevent malicious behavior, for
example, conducted through fake profiles,. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Morid:2023:TSP,
author = "Mohammad Amin Morid and Olivia R. Liu Sheng and Joseph
Dunbar",
title = "Time Series Prediction Using Deep Learning Methods in
Healthcare",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3531326",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3531326",
abstract = "Traditional machine learning methods face unique
challenges when applied to healthcare predictive
analytics. The high-dimensional nature of healthcare
data necessitates labor-intensive and time-consuming
processes when selecting an appropriate set of
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Zhai:2023:RNB,
author = "Shuang (Sophie) Zhai and Zhu (Drew) Zhang",
title = "Read the News, Not the Books: Forecasting Firms'
Long-term Financial Performance via Deep Text Mining",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3533018",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3533018",
abstract = "In this paper, we show textual data from firm-related
events in news articles can effectively predict various
firm financial ratios, with or without historical
financial ratios. We exploit state-of-the-art neural
architectures, including pseudo-event \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ameri:2023:DNI,
author = "Kimia Ameri and Michael Hempel and Hamid Sharif and
Juan Lopez and Kalyan Perumalla",
title = "Design of a Novel Information System for
Semi-automated Management of Cybersecurity in
Industrial Control Systems",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3546580",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3546580",
abstract = "There is an urgent need in many critical
infrastructure sectors, including the energy sector,
for attaining detailed insights into cybersecurity
features and compliance with cybersecurity requirements
related to their Operational Technology (OT) \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Joshi:2023:LNL,
author = "Amogh Manoj Joshi and Deepak Ranjan Nayak and
Dibyasundar Das and Yudong Zhang",
title = "{LiMS-Net}: a Lightweight Multi-Scale {CNN} for
{COVID-19} Detection from Chest {CT} Scans",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "5:1--5:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3551647",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3551647",
abstract = "Recent years have witnessed a rise in employing deep
learning methods, especially convolutional neural
networks (CNNs) for detection of COVID-19 cases using
chest CT scans. Most of the state-of-the-art models
demand a huge amount of parameters which often
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Kucklick:2023:TAI,
author = "Jan-Peter Kucklick and Oliver M{\"u}ller",
title = "Tackling the Accuracy-Interpretability Trade-off:
Interpretable Deep Learning Models for Satellite
Image-based Real Estate Appraisal",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "6:1--6:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3567430",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3567430",
abstract = "Deep learning models fuel many modern decision support
systems, because they typically provide high predictive
performance. Among other domains, deep learning is used
in real-estate appraisal, where it allows extending the
analysis from hard facts only \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Akello:2023:BUC,
author = "Patricia Akello and Naga Vemprala and Nicole Lang
Beebe and Kim-Kwang Raymond Choo",
title = "Blockchain Use Case in Ballistics and Crime Gun
Tracing and Intelligence: Toward Overcoming Gun
Violence",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "7:1--7:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3571290",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3571290",
abstract = "In the United States and around the world, gun
violence has become a long-standing public safety
concern and a security threat, due to violent
gun-related crimes, injuries, and fatalities. Although
legislators and lawmakers have attempted to mitigate
its \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chen:2023:ODD,
author = "Xue Chen and Cheng Wang and Qing Yang and Teng Hu and
Changjun Jiang",
title = "The Opportunity in Difficulty: a Dynamic Privacy
Budget Allocation Mechanism for Privacy-Preserving
Multi-dimensional Data Collection",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "8:1--8:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3569944",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3569944",
abstract = "Data collection under local differential privacy (LDP)
has been gradually on the stage. Compared with the
implementation of LDP on the single attribute data
collection, that on multi-dimensional data faces great
challenges as follows: (1) Communication \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Hu:2023:RAH,
author = "Yixiang Hu and Xiaoheng Deng and Congxu Zhu and
Xuechen Chen and Laixin Chi",
title = "Resource Allocation for Heterogeneous Computing Tasks
in Wirelessly Powered {MEC}-enabled {IIOT} Systems",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "9:1--9:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3571291",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3571291",
abstract = "Integrating wireless power transfer with mobile edge
computing (MEC) has become a powerful solution for
increasingly complicated and dynamic industrial
Internet of Things (IIOT) systems. However, the
traditional approaches overlooked the heterogeneity of
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Hevner:2023:RCD,
author = "Alan Hevner and Veda Storey",
title = "Research Challenges for the Design of Human-Artificial
Intelligence Systems ({HAIS})",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "10:1--10:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3549547",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3549547",
abstract = "Artificial intelligence (AI) capabilities are
increasingly common components of all socio-technical
information systems that integrate human and machine
actions. The impacts of AI components on the design and
use of application systems are evolving \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Dumas:2023:AAB,
author = "Marlon Dumas and Fabiana Fournier and Lior Limonad and
Andrea Marrella and Marco Montali and Jana-Rebecca
Rehse and Rafael Accorsi and Diego Calvanese and
Giuseppe {De Giacomo} and Dirk Fahland and Avigdor Gal
and Marcello {La Rosa} and Hagen V{\"o}lzer and Ingo
Weber",
title = "{AI}-augmented Business Process Management Systems: a
Research Manifesto",
journal = j-TMIS,
volume = "14",
number = "1",
pages = "11:1--11:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3576047",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Thu Mar 9 08:04:45 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3576047",
abstract = "AI-augmented Business Process Management Systems
(ABPMSs) are an emerging class of process-aware
information systems, empowered by trustworthy AI
technology. An ABPMS enhances the execution of business
processes with the aim of making these processes more
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Leroy:2023:ISI,
author = "Gondy Leroy and Bengisu Tulu and Xiao Liu",
title = "Introduction to the Special Issue on Design and Data
Science Research in Healthcare",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "12:1--12:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3579646",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3579646",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Baucum:2023:OSU,
author = "Matt Baucum and Anahita Khojandi and Carole Myers and
Larry Kessler",
title = "Optimizing Substance Use Treatment Selection Using
Reinforcement Learning",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "13:1--13:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3563778",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3563778",
abstract = "Substance use disorder (SUD) exacts a substantial
economic and social cost in the United States, and it
is crucial for SUD treatment providers to match
patients with feasible, effective, and affordable
treatment plans. The availability of large SUD
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Bartenschlager:2023:CML,
author = "Christina C. Bartenschlager and Stefanie S. Ebel and
Sebastian Kling and Janne Vehreschild and Lutz T. Zabel
and Christoph D. Spinner and Andreas Schuler and Axel
R. Heller and Stefan Borgmann and Reinhard Hoffmann and
Siegbert Rieg and Helmut Messmann and Martin Hower and
Jens O. Brunner and Frank Hanses and Christoph
R{\"o}mmele",
title = "{COVIDAL}: a Machine Learning Classifier for Digital
{COVID-19} Diagnosis in {German} Hospitals",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "14:1--14:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3567431",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3567431",
abstract = "For the fight against the COVID-19 pandemic, it is
particularly important to map the course of infection,
in terms of patients who have currently tested
SARS-CoV-2 positive, as accurately as possible. In
hospitals, this is even more important because
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{vanderLinden:2023:MVD,
author = "Sanne van der Linden and Rita Sevastjanova and Mathias
Funk and Mennatallah El-Assady",
title = "{MediCoSpace}: Visual Decision-Support for
Doctor-Patient Consultations using Medical Concept
Spaces from {EHRs}",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "15:1--15:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3564275",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3564275",
abstract = "Healthcare systems are under pressure from an aging
population, rising costs, and increasingly complex
conditions and treatments. Although data are determined
to play a bigger role in how doctors diagnose and
prescribe treatments, they struggle due to a \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Fechner:2023:NIS,
author = "Pascal Fechner and Fabian K{\"o}nig and Wolfgang
Kratsch and Jannik Lockl and Maximilian R{\"o}glinger",
title = "Near-Infrared Spectroscopy for Bladder Monitoring: a
Machine Learning Approach",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "16:1--16:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3563779",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3563779",
abstract = "Patients living with neurogenic bladder dysfunction
can lose the sensation of their bladder filling. To
avoid over-distension of the urinary bladder and
prevent long-term damage to the urinary tract, the gold
standard treatment is clean intermittent \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Srinivasan:2023:EDM,
author = "Karthik Srinivasan and Jinhang Jiang",
title = "Examining Disease Multimorbidity in {U.S.} Hospital
Visits Before and During {COVID-19} Pandemic: a Graph
Analytics Approach",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "17:1--17:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3564274",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3564274",
abstract = "Enduring effects of the COVID-19 pandemic on
healthcare systems can be preempted by identifying
patterns in diseases recorded in hospital visits over
time. Disease multimorbidity or simultaneous occurrence
of multiple diseases is a growing global public
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Srinivasan:2023:HLS,
author = "Karthik Srinivasan and Faiz Currim and Sudha Ram",
title = "A Human-in-the-Loop Segmented Mixed-Effects Modeling
Method for Analyzing Wearables Data",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "18:1--18:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3564276",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3564276",
abstract = "Wearables are an important source of big data, as they
provide real-time high-resolution data logs of health
indicators of individuals. Higher-order associations
between pairs of variables is common in wearables data.
Representing higher-order association \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chai:2023:MLC,
author = "Yidong Chai and Hongyan Liu and Jie Xu and Sagar
Samtani and Yuanchun Jiang and Haoxin Liu",
title = "A Multi-Label Classification with an Adversarial-Based
Denoising Autoencoder for Medical Image Annotation",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "19:1--19:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3561653",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3561653",
abstract = "Medical image annotation aims to automatically
describe the content of medical images. It helps
doctors to understand the content of medical images and
make better informed decisions like diagnoses. Existing
methods mainly follow the approach for natural
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Unger:2023:DNA,
author = "Moshe Unger and Pan Li and Sahana (Shahana) Sen and
Alexander Tuzhilin",
title = "Don't Need All Eggs in One Basket: Reconstructing
Composite Embeddings of Customers from
Individual-Domain Embeddings",
journal = j-TMIS,
volume = "14",
number = "2",
pages = "20:1--20:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3578710",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 27 07:09:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3578710",
abstract = "Although building a 360-degree comprehensive view of a
customer has been a long-standing goal in marketing,
this challenge has not been successfully addressed in
many marketing applications because fractured customer
data stored across different ``silos'' \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Mishra:2023:EED,
author = "Rahul Mishra and Dharavath Ramesh and Salil S. Kanhere
and Damodar Reddy Edla",
title = "Enabling Efficient Deduplication and Secure
Decentralized Public Auditing for Cloud Storage: a
Redactable Blockchain Approach",
journal = j-TMIS,
volume = "14",
number = "3",
pages = "21:1--21:??",
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3578555",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 30 12:00:07 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib;
https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3578555",
abstract = "Public auditing and data deduplication are integral
considerations in providing efficient and secure cloud
storage services. Nevertheless, the traditional data
deduplication models \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "21",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Rubin:2023:UTA,
author = "Eran Rubin and Izak Benbasat",
title = "Using {Toulmin}'s Argumentation Model to Enhance Trust
in Analytics-Based Advice Giving Systems",
journal = j-TMIS,
volume = "14",
number = "3",
pages = "22:1--22:??",
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3580479",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 30 12:00:07 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3580479",
abstract = "Ecommerce websites increasingly provide predictive
analytics-based advice (PAA), such as advice about
future potential price reductions. Establishing
consumer-trust in these \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "22",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Du:2023:IMK,
author = "Kelvin Du and Frank Xing and Erik Cambria",
title = "Incorporating Multiple Knowledge Sources for Targeted
Aspect-based Financial Sentiment Analysis",
journal = j-TMIS,
volume = "14",
number = "3",
pages = "23:1--23:??",
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3580480",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 30 12:00:07 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3580480",
abstract = "Combining symbolic and subsymbolic methods has become
a promising strategy as research tasks in AI grow
increasingly complicated and require higher levels of
understanding. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "23",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chua:2023:SFD,
author = "Cecil Eng Huang Chua and Fred Niederman",
title = "Situational Factor Determinants of the Allocation of
Decision Rights to Edge Computers",
journal = j-TMIS,
volume = "14",
number = "3",
pages = "24:1--24:??",
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3582081",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 30 12:00:07 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3582081",
abstract = "Internet of Things (IoT) designers frequently must
determine whether action-oriented decisions should be
made by edge computers or whether they should be made
only by \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "24",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Siering:2023:PPP,
author = "Michael Siering",
title = "Peer-to-Peer {(P2P)} Lending Risk Management:
Assessing Credit Risk on Social Lending Platforms Using
Textual Factors",
journal = j-TMIS,
volume = "14",
number = "3",
pages = "25:1--25:??",
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3589003",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Aug 30 12:00:07 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3589003",
abstract = "Peer-to-peer (P2P) lending platforms offer Internet
users the possibility to borrow money from peers
without the intervention of traditional financial
institutions. Due to \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "25",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Shen:2023:ECA,
author = "Dazhong Shen and Hengshu Zhu and Keli Xiao and Xi
Zhang and Hui Xiong",
title = "Exploiting Connections among Personality, Job
Position, and Work Behavior: Evidence from Joint
{Bayesian} Learning",
journal = j-TMIS,
volume = "14",
number = "3",
pages = "26:1--26:??",
month = sep,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3607875",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Sep 19 06:58:51 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3607875",
abstract = "Personality has been considered as a driving factor
for work engagement, which significantly affects
people's role performance at work. Although existing
research has \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "26",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Ang:2023:PER,
author = "Gary Ang and Zhiling Guo and Ee-Peng Lim",
title = "On Predicting {ESG} Ratings Using Dynamic Company
Networks",
journal = j-TMIS,
volume = "14",
number = "3",
pages = "27:1--27:??",
month = sep,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3607874",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Sep 19 06:58:51 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3607874",
abstract = "Environmental, social and governance (ESG)
considerations play an increasingly important role due
to the growing focus on sustainability globally.
Entities, such as banks and \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "27",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Li:2023:ISI,
author = "Xin Li and Juhee Kwon and Balaji Padmanabhan and
Pengzhu Zhang",
title = "Introduction to the Special Issue on {IT}-enabled
Business Management and Decision Making in the (Post)
{Covid-19} Era",
journal = j-TMIS,
volume = "14",
number = "4",
pages = "28:1--28:??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3627995",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Dec 13 11:34:23 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3627995",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "28",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Guo:2023:SDH,
author = "Tianjian Guo and Indranil Bardhan and Anjum Khurshid",
title = "Social Determinants of Health and {ER} Utilization:
Role of Information Integration during {COVID-19}",
journal = j-TMIS,
volume = "14",
number = "4",
pages = "29:1--29:??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3583077",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Dec 13 11:34:23 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3583077",
abstract = "Emergency room (ER) admissions are the front door for
the utilization of a community's health resources and
serve as a valuable proxy for a community health
system's capacity. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "29",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Killoran:2023:IIC,
author = "Jayson Andrew Killoran and Tracy A. Jenkin and Jasmin
Manseau",
title = "{ICT} Interactions and {COVID-19} --- a Theorization
Across Two Pandemic Waves",
journal = j-TMIS,
volume = "14",
number = "4",
pages = "30:1--30:??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3597938",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Dec 13 11:34:23 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3597938",
abstract = "The COVID-19 pandemic instigated the rapid shift to
remote work and virtual interactions, constituting a
new normal of professional interaction over information
and \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "30",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Pilato:2023:MSS,
author = "Giovanni Pilato and Fabio Persia and Mouzhi Ge and
Theodoros Chondrogiannis and Daniela D'Auria",
title = "A Modular Social Sensing System for Personalized
Orienteering in the {COVID-19} Era",
journal = j-TMIS,
volume = "14",
number = "4",
pages = "31:1--31:??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3615359",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Dec 13 11:34:23 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3615359",
abstract = "Orienteering or itinerary planning algorithms in
tourism are used to optimize travel routes by
considering user preference and other constraints, such
as time budget or \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "31",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Zeng:2023:DAO,
author = "Xiao Zeng and David Ji and Dimple R. Thadani and
Boying Li and Xiaodie Pu and Zhao Cai and Patrick Y. K.
Chau",
title = "Disentangling Affordances of Online Collaboration
Tools for Mutual Aid in Emergencies: Insights from the
{COVID-19} Lockdown",
journal = j-TMIS,
volume = "14",
number = "4",
pages = "32:1--32:??",
month = dec,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3593056",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Dec 13 11:34:23 MST 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3593056",
abstract = "With the uncertain trajectory of COVID-19 conditions
worldwide, there lies the potential for emergencies to
arise, abruptly yielding mass social and economic
disruption. Gaining \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "32",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Lo:2024:NMG,
author = "Pei-Chi Lo and Ee-Peng Lim",
title = "Non-monotonic Generation of Knowledge Paths for
Context Understanding",
journal = j-TMIS,
volume = "15",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3627994",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 25 11:34:33 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3627994",
abstract = "Knowledge graphs can be used to enhance text search
and access by augmenting textual content with relevant
background knowledge. While many large knowledge graphs
are available, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Aouachria:2024:PMM,
author = "Moufida Aouachria and Abderrahmane Leshob and
Abdessamed R{\'e}da Ghomari and Mustapha Aouache",
title = "A Process Mining Method for Inter-organizational
Business Process Integration",
journal = j-TMIS,
volume = "15",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3638062",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 25 11:34:33 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3638062",
abstract = "Business process integration (BPI) allows
organizations to connect and automate their business
processes in order to deliver the right economic
resources at the right time, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Pytel:2024:DDT,
author = "Norman Pytel and Christian Ziegler and Axel
Winkelmann",
title = "From Dissonance to Dialogue: a Token-Based Approach to
Bridge the Gap Between Manufacturers and Customers",
journal = j-TMIS,
volume = "15",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3639058",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 25 11:34:33 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3639058",
abstract = "This article presents a novel token-based recall
communication system, which integrates Enterprise
Resource Planning (ERP) systems and blockchain
technology to enhance \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Storey:2024:DSI,
author = "Veda C. Storey and Richard Baskerville",
title = "Design with {Simon}'s Inner and Outer Environments:
Theoretical Foundations for Design Science Research
Methods for Digital Science",
journal = j-TMIS,
volume = "15",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3640819",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 25 11:34:33 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3640819",
abstract = "Design science research has traditionally been applied
to complex real-world problems to produce an artifact
to address such problems. Although design science
research \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Fernandez:2024:ABM,
author = "Joaquin Delgado Fernandez and Tom Barbereau and
Orestis Papageorgiou",
title = "Agent-Based Model of Initial Token Allocations:
Simulating Distributions post Fair Launch",
journal = j-TMIS,
volume = "15",
number = "1",
pages = "5:1--5:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3649318",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 25 11:34:33 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3649318",
abstract = "With advancements in distributed ledger technologies
and smart contracts, tokenized voting rights gained
prominence within decentralized finance (DeFi). Voting
\ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Quattrocchi:2024:DPS,
author = "Giovanni Quattrocchi and Willem-Jan van den Heuvel and
Damian Andrew Tamburri",
title = "The Data Product-service Composition Frontier: a
Hybrid Learning Approach",
journal = j-TMIS,
volume = "15",
number = "1",
pages = "6:1--6:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3649319",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Mon Mar 25 11:34:33 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3649319",
abstract = "The service dominant logic is a base concept behind
modern economies and software products, with service
composition being a well-known practice for companies
to gain a \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Denisenko:2024:PIM,
author = "Natalia Denisenko and Youzhi Zhang and Chiara Pulice
and Shohini Bhattasali and Sushil Jajodia and Philip
Resnik and V. S. Subrahmanian",
title = "A Psycholinguistics-inspired Method to Counter {IP}
Theft Using Fake Documents",
journal = j-TMIS,
volume = "15",
number = "2",
pages = "7:1--7:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3651313",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Jun 26 11:03:57 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3651313",
abstract = "Intellectual property (IP) theft is a growing problem.
We build on prior work to deter IP theft by generating
n fake versions of a technical document so a thief has
to expend time",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Li:2024:EFF,
author = "Pei-Xuan Li and Yu-En Chang and Ming-Chun Wei and
Hsun-Ping Hsieh",
title = "Estimating Future Financial Development of Urban Areas
for Deploying Bank Branches: a Local-Regional
Interpretable Model",
journal = j-TMIS,
volume = "15",
number = "2",
pages = "8:1--8:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3656479",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Jun 26 11:03:57 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3656479",
abstract = "Financial forecasting is an important task for urban
development. In this article, we propose a novel deep
learning framework to predict the future financial
potential of urban \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Wu:2024:COO,
author = "Youxi Wu and Zhen Wang and Yan Li and Yingchun Guo and
He Jiang and Xingquan Zhu and Xindong Wu",
title = "Co-occurrence Order-preserving Pattern Mining with
Keypoint Alignment for Time Series",
journal = j-TMIS,
volume = "15",
number = "2",
pages = "9:1--9:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3658450",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Jun 26 11:03:57 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3658450",
abstract = "Recently, order-preserving pattern (OPP) mining has
been proposed to discover some patterns, which can be
seen as trend changes in time series. Although existing
OPP mining \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Sheng:2024:MMT,
author = "Jessica Qiuhua Sheng and Da Xu and Paul Jen-Hwa Hu and
Liang Li and Ting-Shuo Huang",
title = "Mining Multimorbidity Trajectories and Co-Medication
Effects from Patient Data to Predict Post-Hip Fracture
Outcomes",
journal = j-TMIS,
volume = "15",
number = "2",
pages = "10:1--10:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3665250",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Wed Jun 26 11:03:57 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3665250",
abstract = "Hip fractures have profound impacts on patients'
conditions and quality of life, even when they receive
therapeutic treatments. Many patients face the risk of
poor prognosis, physical \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Chen:2024:EHU,
author = "Yijun Chen and Reuben Kirkham",
title = "Exploring How {UK} Public Authorities Use Redaction to
Protect Personal Information",
journal = j-TMIS,
volume = "15",
number = "3",
pages = "11:1--11:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3651989",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 21 06:01:20 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3651989",
abstract = "Document redaction has become increasingly important
for individuals and organizations. This article
investigates public-sector information redaction
practices in order to \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Suttaket:2024:IPM,
author = "Thiti Suttaket and Stanley Kok",
title = "Interpretable Predictive Models for Healthcare via
Rational Multi-Layer Perceptrons",
journal = j-TMIS,
volume = "15",
number = "3",
pages = "12:1--12:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3671150",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 21 06:01:20 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3671150",
abstract = "The healthcare sector has recently experienced an
unprecedented surge in digital data accumulation,
especially in the form of electronic health records
(EHRs). These records \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Degha:2024:ICI,
author = "Houssem Eddine Degha and Fatima Zohra Laallam",
title = "{ICA-CRMAS}: Intelligent Context-Awareness Approach
for Citation Recommendation based on Multi-Agent
System",
journal = j-TMIS,
volume = "15",
number = "3",
pages = "13:1--13:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3680287",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 21 06:01:20 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3680287",
abstract = "Navigating the ever-expanding sea of scientific
literature presents a daunting challenge for
researchers seeking relevant and up-to-date
information. Traditional citation \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Zhang:2024:MIF,
author = "Chenglong Zhang and Varghese S. Jacob and Young U.
Ryu",
title = "Modeling Individual Fairness Beliefs and Its
Applications",
journal = j-TMIS,
volume = "15",
number = "3",
pages = "14:1--14:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3682070",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Sat Sep 21 06:01:20 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3682070",
abstract = "One of the criticisms made about data and
algorithm-driven intelligent systems is that their
results are viewed as being unfair or inequitable by
individuals who believe in fairness \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Esmaeili:2024:EIO,
author = "Moe Esmaeili and Moez Farokhnia Hamedani and Daniel
Zantedeschi and Calvin Sorush Khalesi",
title = "Election Interference and Online Propaganda Campaigns:
Dynamic Interdependencies on {Facebook}, {Google
Trends}, and the {New York Times}",
journal = j-TMIS,
volume = "15",
number = "4",
pages = "15:1--15:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3690828",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Dec 17 10:44:07 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3690828",
abstract = "The relationship between propaganda campaigns, news
outlets, and search patterns is of significant interest
to political authorities and academic scholars from
various \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Benjamin:2024:CSS,
author = "Victor Benjamin",
title = "Considering Socially Scalable Human--Robot
Interfaces",
journal = j-TMIS,
volume = "15",
number = "4",
pages = "16:1--16:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3688852",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Dec 17 10:44:07 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3688852",
abstract = "Collaborative robots are becoming increasingly present
in everyday life, with applications ranging food and
parcel delivery, security, and more. They can offer
great value \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
@Article{Guo:2024:APC,
author = "Yutong Guo* and Chao Ban and Jiang Yang and Khim-Yong
Goh and Xiao Liu and Xixian Peng and Xiaobo Li",
title = "Analyzing and Predicting Consumer Response to Short
Videos in E-Commerce",
journal = j-TMIS,
volume = "15",
number = "4",
pages = "17:1--17:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3690393",
ISSN = "2158-656X (print), 2158-6578 (electronic)",
ISSN-L = "2158-656X",
bibdate = "Tue Dec 17 10:44:07 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/tmis.bib",
URL = "https://dl.acm.org/doi/10.1145/3690393",
abstract = "This study analyzes the drivers of and predicts the
outcome of consumer response to e-commerce short videos
(ESVs) in terms of viewing duration. We first construct
a \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Manag. Inf. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Management Information Systems
(TMIS)",
journal-URL = "https://dl.acm.org/loi/tmis",
}
