报告人: Associate Prof. Dr. One-Ki Daniel Lee, University of Massachusetts Boston
时间：2019. 7. 5 (周五)下午4：30
The fuzzy-set qualitative comparative analysis (fsQCA) is an emerging research approach, which is based on configurational theories. Contrasting to the regression approach that investigates the net effect of each individual variable, fsQCA examines configurations of multiple variables as causal recipes of a desired outcome. In this research talk, I will introduce this research approach and also present my recent research that applies fsQCA to a complex organizational problem of generating comparative actions in today’s digitized business environment. In particular, this approach is applied to both validate and extend exiting theories through a retroductive research process.
One-Ki Daniel Lee is an Associate Professor in the Management Science and Information Systems Department at the University of Massachusetts Boston. He received his Ph.D. from the City University of Hong Kong and his Master degree from the Korea Advanced Institute of Science & Technology (KAIST), South Korea. His research interests include organizational IT strategy and value, IT-enabled dynamic capabilities (e.g., agility and KM capability), global IT project risk management, and mobile platform & digital transformation. His research methods involve several advanced techniques in structural equation modeling (SEM), qualitative comparative analysis (QCA), and text mining. His research work has appeared in leading IS journals, including Information Systems Research, Information & Management, IEEE Transactions on Engineering Management, Communications of the ACM, Communication of the AIS, and others.