Matthias Fahn

Matthias Fahn is an Associate Professor at the University of Hong Kong Business School where he serves as Associate Director of the Center for AI, Management and Organization (CAMO). He co-directs the CAMO Lab for Organizational Transformation with colleague Jie Gong. Previously affiliated with Johannes Kepler University Linz (JKU) where he held a position in the Department of Economics within the Kurt Rothschild School of Economics and Statistics (RoSES), though his JKU profile indicates he is currently on leave.

• Current Institution: University of Hong Kong Business School
• Previous Institution: Johannes Kepler University Linz
• Research Leadership: Co-Director of CAMO Lab for Organizational Transformation
• Academic Service: Co-organizer of Workshop on Relational Contracts and Asian Conference on Organizational Economics

Dr. Fahn's research focuses on the intersection of organizational theory, behavioral economics, and emerging technologies. His work examines how psychological factors like present bias affect labor market outcomes, how social norms shape workplace behavior, and increasingly, how AI is transforming organizational structures. His research integrates theoretical models with empirical analysis of labor market dynamics.

His publication record shows consistent output with recent papers exploring non-common priors in promotions, the impact of firing costs on present-biased employees, and informal incentives in labor markets. His work demonstrates a progression from traditional organizational economics toward the emerging field of AI's role in organizational transformation.

• Symposium Editor: Journal of Institutional and Theoretical Economics on Relational Contracts (11 papers)
• Active Research Projects: Digital transformation of journalism and Informal Incentives in Labor Markets

Dr. Fahn maintains an active scholarly presence through conference organization and editorial work, positioning himself at the forefront of research on relational contracts and the organizational implications of digital transformation.