Balázs Kovács
Professor of Organizational Behavior
Professor Kovács studies how socially structured information such as categories, awards, online reviews, and social networks shape audiences’ perceptions and evaluations in creative domains such as music, literature, dining, or technology. Focusing on audiences is important because in creative domains quality and relevance are often elusive, making social evaluations particularly important. Quality here is constructed in part through categorization and the interaction of heterogenous audience segments and networks. His research takes a sociological approach, in which actors, objects, organizations, and markets are located in a relational space, and heterogeneity, positioning, and networks are studied by exploring the locations and movements in this relational space.
Professor Kovács typically uses large-scale, “big data” approaches to study these questions, analyzing online reviews and social networks. His research appears in journals such as Administrative Science Quarterly, American Sociological Review, Organization Science, Management Science, Nature Biotechnology, Psychological Science, Research Policy, Social Networks, and Strategic Management Journal.
Professor Kovács received his PhD from the Graduate School of Business at Stanford University. Prior to joining the Yale School of Management, he was an assistant professor at the University of Lugano, Switzerland.
Education
- PhD, Stanford University, 2009
Articles
The Turing test of online reviews: Can we tell the difference between human-written and GPT-4 written online reviews?
Five is the brightest star. But by how much? Testing the equidistance of star ratings in online reviews
Uncovering the Semantics of Concepts Using GPT-4
The Stickiness of Category Labels: Audience Perception and Evaluation of Change in Creative Markets
What’s next? Artists’ music after Grammy Awards
Books
Concepts and Categories: Foundations for Sociological and Cultural Analysis
Selected Media Coverage
The Chef Is Human. The Reviewer Isn’t., The New York Times, June 24, 2024
Achievements
- Academy of Management Annals Best Paper of 2019 Award, 2020
- SO! WHAT award winner for the best paper published in 2014, 2019