Research Interest

I write theory papers on organization design. IT artifacts that reshape organizing practices and foster collective intelligence are of particular interest. Methodologically, I use a combination of computational modeling, agent-based simulation, and econometric analysis. My work is organized around three connected streams.

1. Regime (De)centralization
   Investigating how distributed ledgers and smart contracts enable new governance regimes and reconfigure coordination in organizations.
2. Crowd Wisdom
   Exploring how digital platforms can harness human diversity and judgment, and under what conditions, crowd wisdom exceeds the sum of individual pearls.
3. Algorithmic Judgement for Organizational Rationality
   Examining the integration of algorithmic agents into organizational decision-making and the implications for bounded rationality, learning, and search.

Conference Papers

Li, J. (2025). Echoes and Oracles: Do Algorithmic Predictions Make Search Trivial or Learning Fragile? Conference on Information Systems and Technology, 2025.

Li, J., Zhou, J., and Hahn, J. (2024). Loosely Coupled Search in Crowd-based Innovation: A Simulation-based Theory Development. Conference on Information Systems and Technology, 2024.

Li, J., Zhou, J., and Hahn, J. (2024). Faceted Search and Crowd-based Innovation. Academy of Management Proceedings, 2024(1), 10095.

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.