Shmueli, G., and O. Koppius, "What is Predictive about Partial Least Squares?", Sixth Symposium on Statistical Challenges in eCommerce Research (SCECR), University of Texas at Austin, McCombs School of Business, TX, 05/06/2010. Conference Paper (285.09 KB)

Shmueli, G., T. P. Minka, J. B. Kadane, S. Borle, and P. Boatwright, "Using Computational and Mathematical Methods to Explore a New Distribution: The v-Poisson", Technical Report #740: Dept. of Statistics, Carnegie Mellon University, 2001.

Shmueli, G., T. P. Minka, J. B. Kadane, S. Borle, and P. Boatwright, "A Useful Distribution for Fitting Discrete Data: Revival of the COM-Poisson", Journal of The Royal Statistical Society, Series C (Applied Statistics), vol. 54, issue 1, pp. 127-142, 2005. JRSS-COM-Poisson.pdf (278.49 KB)

Kenett, R. S., and G. Shmueli, "A special issue on: Actual impact and future perspectives on stochastic modelling in business and industry", Applied Stochastic Models in Business and Industry, vol. 31, issue 1, pp. 1-2, 2015.

Lotze, T., G. Shmueli, and I. Yahav, "Simulating and Evaluating Biosurveillance Datasets", Biosurveillance: Methods and Case Studies: Chapman and Hall, 2010. Book Chapter (1.93 MB)

Kenett, R. S., and G. Shmueli, "Rejoinder: On Information Quality", JRSS A, vol. 177, issue 1, pp. 35-38, 2014.

Kenett, R. S., and G. Shmueli, "Rejoinder: Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research", Statistical Journal of the IAOS, vol. 32, issue 1, pp. 33-35, 2016.

Shmueli, G., and O. Koppius, "Predictive vs. Explanatory Modeling in IS Research", Conference on Information Systems & Technology (Best Paper Award), Seattle, WA, 03/11/2007.

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", Working Paper RHS 06-138: Smith School of Business, University of Maryland, 2010.

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", ERN Economics of Networks eJournal, vol. 2, issue 56, 2010.

Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", MIS Quarterly, vol. 35, issue 3, pp. 553-572, 2011. MISQ-Predictive-Analytics-in-IS-Shmueli-Koppius -2011.pdf (303.74 KB)

Sharma, P., M. Sarstedt, G. Shmueli, K. H. Kim, and K. O. Thiele, "PLS-based model selection: the role of alternative explanations in information systems research", Journal of the Association for Information Systems, vol. 20, issue 4, 2019.

Shmueli, G., and W. Jank, "Modeling Dynamics in Online Auctions: A Modern Statistical Approach", Economics, Information Systems and Electronic Commerce: Empirical Research, Armonk, NY, M. E. Sharpe, pp. 157-180, 2009.

Kenett, R. S., and G. Shmueli, Information Quality: The Potential of Data and Analytics to Generate Knowledge: John Wiley & Sons, pp. 384, 2016.

Shmueli, G., and R. S. Kenett, "An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies", The 3rd International Workshop on Intelligent Data Analysis and Management (IDAM), Kaohsiung, Taiwan, Springer Verlag, pp. 1-13, 11/09/2013. InfoQ_IDAM_2013.pdf (179.21 KB)

Shmueli, G., and R. S. Kenett, "An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies", Intelligent Data Analysis and Management (IDAM), Kaohsiung, Taiwan, 09/09/2013. InfoQ_IDAM_2013.pdf (179.21 KB)

Kenett, R. S., and G. Shmueli, "On Information Quality", Working Paper RHS 06-100: Smith School of Business, University of Maryland, 2011.

Kenett, R. S., and G. Shmueli, "On Information Quality", JRSS A, vol. 177, issue 1, pp. 3-27, 2014. Kenett Shumeli JRSSA 2014.pdf (689.6 KB)

Kenett, R. S., and G. Shmueli, "On Information Quality", Working Paper (RHS 06-100) Smith School of Business, University of Maryland,, 2009.

Kenett, R. S., and G. Shmueli, "Helping authors and reviewers ask the right questions: The InfoQ framework for reviewing applied research", Statistical Journal of the IAOS, vol. 32, issue 1, pp. 11-19, 2016.