Prediction in Causal Research: Part 2/2

[Lecture as part of the PhD Research Methods course at National Tsing Hua University's Institute of Service Science]
In this second part, I discuss how prediction can be used for enhancing theory-building causal research and what has changed in recent years in top journals in terms of injecting prediction into causal research.
Relevant papers:
1. Shmueli G., and Koppius, O. R. (2011), Predictive Analytics in Information Systems Research, MIS Quarterly, 35(3), 553-572.
2. Agarwal, R. and Dhar, V. (2014), Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research, Information Systems Research, 25(3), 443-448.
3. Dhar, V., Geva, T., Oestreicher-Singer, G., and Sundararajan, A. (2014), Prediction in Economic Networks, Information Systems Research, 25(2), 264-284.