Tafti, A., and G. Shmueli, "Beyond Overall Treatment Effects: Leveraging Covariates in Randomized Experiments Guided by Causal Structure", Information Systems Research, vol. 31, issue 4, pp. 1183–1199, 2020.

Greene, T., G. Shmueli, S. Ray, and J. Fell, "Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers", Big data, 2019.

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., "Analyzing Behavioral Big Data: Methodological, Practical, Ethical, and Moral Issues", Quality Engineering, vol. 29, issue 1, pp. 57-74 and 88-90, 2017.

Shmueli, G., "Research Dilemmas With Behavioral Big Data", Big Data, vol. 5, issue 2, pp. 98-119, 2017.

Shmueli, G., S. Ray, J. M. Velasqu Estrada, and S.B. Chatla, "The elephant in the room: Predictive performance of PLS models", Journal of Business Research, vol. 69, issue 10, pp. 4552–4564, 2016.

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

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.

"Clarifying the terminology that describes scientific reproducibility", Nature Methods, vol. 12, issue 8, pp. 699, 2015. Kenett Shmueli nmeth 8 2015.pdf (994.33 KB)

Shmueli, G., and I. Yahav, The Forest or the Trees? Tackling Simpson's Paradox with Classification and Regression Trees: Indian School of Business, 2014.

Kenett, R. S., and G. Shmueli, From Quality to Information Quality in Official Statistics: Indian School of Business, 04/2014.

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, "Rejoinder: On Information Quality", JRSS A, vol. 177, issue 1, pp. 35-38, 2014.

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 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)

Lin, M., H. C. Lucas, and G. Shmueli, "Too Big To Fail: Large Samples and the P-Value Problem", Information Systems Research, vol. 24, issue 4, pp. 906-917, 2013. Article (269.29 KB)

Gupta, R., D. Mani, S. Mithas, and G. Shmueli, "Tree Matching Solution for Self-Selection in Impact Surveys", Statistical Challenges in Ecommerce Research (SCECR), Montreal, Canada, 28/06/2012. SCECR 2012 Poster Tree Matching for Self-Selection in Impact Surveys.pdf (807.52 KB)

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