|Title||Predictive Analytics in Information Systems Research|
|Publication Type||Journal Article|
|Year of Publication||2011|
|Authors||Shmueli, G., and O. Koppius|
This research essay highlights the need to integrate predictive analytics into information systems research and shows several concrete ways in which this goal can be accomplished. Predictive analytics include empirical methods (statistical and other) that generate data predictions as well as methods for assessing predictive power. Predictive analytics not only assist in creating practically useful models, they also play an important role alongside explanatory modeling in theory building and theory testing. We describe six roles for predictive analytics: new theory generation, measurement development, comparison of competing theories, improvement of existing models, relevance assessment, and assessment of the predictability of empirical phenomena. Despite
The 2010 working paper is available at http://ssrn.com/abstract=1606674 (Reference: Working Paper RHS 06-127, Smith School of Business, University of Maryland.)
An earlier version was entitled "The Challenge of Prediction in IS Research".