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

Yahav, I., and G. Shmueli, "Algorithm Combination for Improved Performance in Biosurveillance Systems", Intelligence and Security Informatics: Biosurveillance, vol. 4506, pp. 91-102, 2007.

Yahav, I., and G. Shmueli, "Algorithm Combination for Improved Performance in Biosurveillance Systems", Intelligence and Security Informatics: Biosurveillance, vol. 4506, pp. 91-102, 2007.

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.

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)

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)

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 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 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)

"Accelerating Statistical Research in Drug Safety", Pharmacoepidemiology and Drug Safety, vol. 15, issue 9, pp. 687-688, 2006.

Shmueli, G., and O. Koppius, "The Challenge of Prediction in Information Systems Research", Working Paper (RHS 06-058) : Smith School of Business, University of Maryland, 2009.

Kadane, J. B., G. Shmueli, T. P. Minka, S. Borle, and P. Boatwright, "Conjugate Analysis of the Conway-Maxwell-Poisson Distribution", Bayesian Analysis, vol. 1, issue 2, pp. 363-374, 2006. kadane363-374.pdf (183.73 KB)

Kadane, J. B., R. Krishnan, and G. Shmueli, "A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution", Management Science, vol. 52, issue 10, pp. 1610-1617, 2006. Manuscript (136.11 KB)

Kadane, J. B., R. Krishnan, and G. Shmueli, "A Data Disclosure Policy for Count Data Based on the COM-Poisson Distribution", Management Science, vol. 52, issue 10, pp. 1610-1617, 2006. Manuscript (136.11 KB)

Borle, S., P. Boatwright, J. B. Kadane, J. C. Nunes, and G. Shmueli, "The Effect of Product Assortment Changes on Customer Retention", Marketing Science, vol. 24, issue 4, pp. 616-622, 2005. SSRN-id991959.pdf (102.3 KB)

Kenett, R. S., and G. Shmueli, "From Quality to Information Quality in Official Statistics", Journal of Official Statistics, vol. 32, issue 4, pp. 1–19, 2016.

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.

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, "On Information Quality", JRSS A, vol. 177, issue 1, pp. 3-27, 2014. Kenett Shumeli JRSSA 2014.pdf (689.6 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.