journal article Jan 01, 2015

Understanding Information Systems Research Through Structural Topic Modeling

View at Publisher Save 10.2139/ssrn.2601719
Topics

No keywords indexed for this article. Browse by subject →

References
18
[1]
2000 investment, organization, empirical, effect, value, factors, projects 2001 organization, market, effect, support, seller, optimal, usage 2002 outcomes, development, work, field, effect, support, electronic 2003 work, field, performance, organization, firm, teams, investment 2004 intention, field, perceived, science, effect, principles, role 2005 organization, market, effect, performance, seller, measuring, optimal 2006 effect, online, role, e-commerce, relationship, business
[2]
References Alavi "A Review of MIS Research and Disciplinary Development" Journal of Management Information Systems (1992) 10.1080/07421222.1992.11517938
[3]
A Asuncion "On Smoothing and Inference for Topic Models" Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)
[4]
R L Baskerville "Fashion Waves in Information Systems Research and Practice" MIS Quarterly (2009) 10.2307/20650319
[5]
D M Blei "Probabilistic Topic Models" Communications of the ACM (2012) 10.1145/2133806.2133826
[6]
D M Blei "A Correlated Topic Model of Science" The Annals of Applied Statistics (2007) 10.1214/07-aoas114
[7]
D M Blei "Latent Dirichlet Allocation" Journal of Machine Learning Research (2003)
[8]
M J Culnan "The Intellectual Development of Management Information Systems 1972-1982: A Co-Citation Analysis" Management Science (1986) 10.1287/mnsc.32.2.156
[9]
M J Culnan "Mapping the Intellectual Structure of MIS, 1980-1985: A Co-Citation Analysis" MIS Quarterly (1987) 10.2307/248680
[10]
Finding scientific topics

Thomas L. Griffiths, Mark Steyvers

Proceedings of the National Academy of Sciences 2004 10.1073/pnas.0307752101
[11]
J Kwon "Health-Care Security Strategies for Data Protection and Regulatory Compliance" Journal of Management Information Systems (2013) 10.2753/mis0742-1222300202
[12]
High-dimensional graphs and variable selection with the Lasso

Nicolai Meinshausen, Peter Bühlmann

The Annals of Statistics 2006 10.1214/009053606000000281
[13]
Rainer "Examining References Across Journal Rankings" Communications of the ACM (2005) 10.1145/1042091.1042096
[14]
A Sidorova "Uncovering the Intellectual Core of the Information Systems Discipline" MIS Quarterly (2008) 10.2307/25148852
[15]
Focus and Diversity in Information Systems Research: Meeting the Dual Demands of a Healthy Applied Discipline1

Hazel Taylor, Stuart Dillon, Melinda Van Wingen

MIS Quarterly 2010 10.2307/25750699
[16]
Regression Shrinkage and Selection Via the Lasso

Robert Tibshirani

Journal of the Royal Statistical Society Series B:... 1996 10.1111/j.2517-6161.1996.tb02080.x
[17]
I Vessey "Research in Information Systems: An Empirical Study of Diversity in the Discipline and its Journals" Journal of Management Information Systems (2002) 10.1080/07421222.2002.11045721
[18]
X Wei "LDA-Based Document Models for Ad-hoc Retrieval" Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2006) 10.1145/1148170.1148204
Metrics
5
Citations
18
References
Details
Published
Jan 01, 2015
Cite This Article
Hailiang Chen, J. Leon Zhao (2015). Understanding Information Systems Research Through Structural Topic Modeling. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2601719
Related

You May Also Like