Byungtae Lee is a professor of information systems in the College of Business at Korea Advanced Institute of Science and Technology (KAIST) and has served as dean of the college. He was previously on the faculties of University of Illinois at Chicago and University of Arizona. He received his Ph.D. in business administration from the University of Texas at Austin. His research centers on the economics of information systems, IT productivity measurement, strategic IT investments, and electronic commerce. His papers have appeared in Information Systems Research, Journal of Management Information Systems, MIS Quarterly, Journal of Productivity Analysis, and others. He has served as an associate editor for Information Systems Research. He has provided consulting services to executives of global companies and has served on several government committees of Korea.

Education

▶ The University of Texas at Austin, Ph.D. (MIS), 1994

Career

▶ KAIST College of Business, Professor, 2001 - Present
▶ KAIST College of Business, Dean 2011 - 2013
▶ KAIST Venture Investment Holdings, CEO, 2014 - Present
▶ SK Center for Social Entrepreneurship, Director, 2014 - Present
▶ KAIST Research Center for Corporate Social Responsibilities, Director, Present
▶ KAIST Research Center for Digital Economy and Service Innovations, Director, Present
▶ The University of Illinois at Chicago Business School , Associate Professor, 1998 - 2001
▶ The University of Arizona Eller College of Management, Assistant Professor, 1994 - 1998

Publications (patents, etc.)

▶ Selected Publications

Kim, J. et al. (2016). Depression Screening Using Daily Mental Health Ratings from a Smartphone Application for Breast Cancer Patients, Journal of Medical Internet Research, 18(8).

Lee, K., Lee, B., & Oh, W. (2015). Thumbs Up, Sales Up? The Contingent Effect of Facebook Likes on Sales Performance in Social Commerce. Journal of Management Information Systems, 32(4), 109-143.

Lim, S., & Lee, B. (2015). Loyalty Programs and Dynamic Consumer Preference in Online Markets. Decision Support Systems, 78, 104-112.

Yum, H., Lee, B., & Chae, M. (2012). From the Wisdom of Crowds to My Own Judgment in Microfinance through Online Peer-to-Peer Lending Platforms. Electronic Commerce Research and Applications, 11(5), 469-483.

Lee, E., & Lee, B. (2012). Herding Behavior in Online P2P Lending: An Empirical Investigation. Electronic Commerce Research and Applications, 11(5), 495-503.

Shim, S., & Lee, B. (2010). An Economic Model of Optimal Fraud Control and the Aftermarket for Security Services in Online Marketplaces. Electronic Commerce Research and Applications, 9(5), 435-445.

Shim, S., Chae, M., & Lee, B. (2009). Empirical Analysis of Risk-Taking Behavior in IT Platform Migration Decisions. Computers in Human Behavior, 25(6), 1290-1305.

Shim, S., & Lee, B. (2009). Internet Portals' Strategic Utilization of UCC and Web 2.0 Ecology. Decision Support Systems, 47(4), 415-423.

Kim, E., & Lee, B. (2007). An Economic Analysis of Customer Selection and Leveraging Strategies in a Market where Network Externalities Exist. Decision Support Systems, 44(1), 124-134.

Lee, B., & Menon, N. M. (2000). Information Technology Value through Different Normative Lenses. Journal of Management Information Systems, 16(4), 99-119.

Menon, N. M., Lee, B., & Eldenburg, L. (2000). Productivity of Information Systems in the Healthcare Industry. Information Systems Research, 11(1), 83-92.

Lee, B., & Barua, A. (1999). An Integrated Assessment of Productivity and Efficiency Impacts of Information Technology Investments: Old Data, New Analysis and Evidence. Journal of Productivity Analysis, 12(1), 21-43.

Barua, A., & Lee, B. (1997). An Economic Analysis of the Introduction of an Electronic Data Interchange System. Information Systems Research, 8(4), 398-422.

Lee, B., Barua, A., & Whinston, A. B. (1997). Discovery and Representation of Causal Relationships in MIS Research: A Methodological Framework. MIS Quarterly, 109-136.

Research Areas

▶ eBusiness, Business Value of IT, Economics of Information Systems, Business Analytics

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