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Biblio

Conference Paper
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.
Journal Article
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. Abstract
Kenett, R., and G. Shmueli, "On Information Quality", Working Paper (RHS 06-100) Smith School of Business, University of Maryland,, 2009. Abstract
Kenett, R., and G. Shmueli, "On Information Quality", JRSS A, In Press. Abstract
Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", MIS Quarterly, vol. 35, issue 3, pp. 553-572, 2011. Abstract  Download: MISQ-Predictive-Analytics-in-IS-Shmueli-Koppius -2011.pdf (303.74 KB)
Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", ERN Economics of Networks eJournal, vol. 2, issue 56, 2010.
Kenett, R., and G. Shmueli, "Rejoinder: On Information Quality", JRSS A, In Press.
Shmueli, G., "To Explain or To Predict?", Working Paper (RHS 06-099) Smith School of Business, University of Maryland, 2009. Abstract
Shmueli, G., "To Explain or To Predict?", Statistical Science, vol. 25, issue 3, pp. 289-310, 2010. Abstract  Download: Stat Science published.pdf (293.36 KB)
Lin, M., H. C. Lucas, and G. Shmueli, "Too Big To Fail: Large Samples and the P-Value Problem", Information Systems Research, In Press. Abstract  Download: Article (269.29 KB)
Report
Shmueli, G., and O. Koppius, "The Challenge of Prediction in Information Systems Research", Working Paper RHS 06-152: Smith School of Business, University of Maryland, 2009. Abstract
Kenett, R., and G. Shmueli, "On Information Quality", Working Paper RHS 06-100: Smith School of Business, University of Maryland, 2011. Abstract
Shmueli, G., and O. Koppius, "Predictive Analytics in Information Systems Research", Working Paper RHS 06-138: Smith School of Business, University of Maryland, 2010. Abstract
Shmueli, G., "Statistical Inference with Large (eCommerce) Datasets", Working Paper RHS 06-61: Smith School of Business, University of Maryland, 2008. Abstract
Lin, M., H. C. Lucas, and G. Shmueli, "Too Big to Fail: Larger Samples and False Discoveries", Working Paper RHS 06-068: Smith School of Business, University of Maryland, 2009. Abstract

Contact

Galit Shmuéli
SRITNE Chaired Professor
of Data Analytics
Associate Professor of Statistics & Information Systems
Indian School of Business
Gachibowli, Hyderabad 500 032
India

galit.shmueli@gmail.com