Biography
Sangyun Kim is a doctoral student at the Wisconsin School of Business. He studies strategies of organizations as information processing systems. His research interests include organizational learning, organizational search, entrepreneurial innovation, the complexity of organizational structure, A.I., and machine learning. He uses both empirical analyses and machine learning-powered computational modeling to explore research ideas.
Research
Selected Published Journal Articles
Posen, H. & Keil, T. & Kim, S. & Meissner, F. (2018). Renewing Research on Problemistic Search – A Review and Research Agenda. Academy of Management Annals
Working Papers
Cao, Z. & Kim, S. (2018). Attributional Bias in Performance Feedback Evaluation
Chung, H. & Kim, S. (2018). Internal Labor Market and Knowledge Creation of the Firm
Presentations
SMS Annual Conference (2018) Performance attribution ambiguity and organizational learning