Gene Moo Lee
Associate Professor, Accounting and Information Systems Division
Gene Moo Lee is an Associate Professor of Information Systems at the UBC Sauder School of Business, where he leads the Data+AI Research Group. His research asks how AI reshapes firms, labor markets, and institutions, framed around an efficiency–integrity frontier: AI can make work faster and cheaper, but can put accuracy, trust, and accountability at risk. His work appears in MIS Quarterly, Information Systems Research, and the Journal of Management Information Systems. He serves as an Associate Editor at Information Systems Research and a Senior Editor at Decision Support Systems. Before academia, he worked at Samsung Electronics, AT&T, and Intel. He holds a PhD in Computer Science from the University of Texas at Austin.
Selected Publications
- Zhang, X., Lee, M., Zhou, M., Lee, G.M. "Large Language Models in the Institutional Press: Investigating the Effects on Information Sourcing and News Production", MIS Quarterly, Forthcoming.
- Lee, M., Lee, G.M., Cavusoglu, H., Seidel, M.-D.L. (2026), "Computational Framework for Measuring Strategic Opportunities Based on Structural Hole Theory", Journal of Management Information Systems, 43(3): 923-957.
- Kwark, Y., Lee, G.M., Pavlou, P.A., Qiu, L. (2021) “On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data”, Information Systems Research, 32(3): 895-913.
- Lee, G.M., He, S., Lee, J., Whinston, A.B. (2020), “Matching Mobile Applications for Cross Promotion”, Information Systems Research 31(3): 865-891.
- Shin, D., He, S., Lee, G.M., Whinston, A.B., Cetintas, S., Lee, K.-C. (2020), “Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach”, MIS Quarterly 44(4): 1459-1492.