Research Interest

I mainly write theoretical papers that examine how digital organizing can be rationally designed, in dealing with complexity in information systems. My studies consist of three connected streams.

• Decentralized Organizational Design with Blockchain Technology (i.e., Regime)
• Managing Wisdom of Crowds in Crowd-Based Innovation (i.e., Human Component)
• Managing Wisdom of AI in Organizational Rationality (i.e., Machine Component)

Methodology

Computational Modeling, Econometrics

Conference Papers

Li, J., Zhou, J., and Hahn, J. (2024). Faceted Search and Crowd-based Innovation. Accepted for Presentation at the AOM Annual Meeting in Chicago.

Li, J., Hahn, J., and Tayi, G. K. (2023). Meta-Organizational Learning Through Digital Consensus. International Conference of Information Systems Proceedings, Hyderabad, India. Available at: https://aisel.aisnet.org/icis2023/blockchain/blockchain/16/

Li, J., Zhou, J., and Hahn, J. (2023). Solving Problem with Generalists and Specialists: An Agent-based Simulation Model. Academy of Management Proceedings, 2023(1), 13364.