Research | Shen Rui: Dissecting Corporate Culture Using Generative AI
In recent years, corporate culture construction has become a mandatory task for management. However, when analysts discuss “innovation genes” in reports, employees complain about “bureaucracy” on recruitment sites, and management emphasizes “customer first” during earnings calls, the “corporate culture” they speak of often points to vastly different connotations and consequences. How do these cognitive differences form? And how do they affect stock prices?
Recently, Shen Rui from the School of Management and Economics (SME) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), in collaboration with Li Kai and Chelsea Yang from the UBC Sauder School of Business, Mai Feng from the University of Iowa Tippie College of Business, and Zhang Tengfei from the Rutgers University, Rutgers School of Business-Camden, published the paper Dissecting Corporate Culture Using Generative AI in the Review of Financial Studies, a top international finance journal. This research is the first to integrate three major data sources—analyst reports, earnings call transcripts, and online employee reviews—using generative AI to construct a corporate culture knowledge graph, systematically revealing the cognitive gaps among analysts, management, and employees, and their impact on capital markets.

About the Author

Shen Rui
Assistant Dean (Research) and Professor
SME, CUHK-Shenzhen
Research Field
Capital Markets, Corporate Finance, Financial Analyst, and Information Disclosure
Co-authors
Kai Li
UBC Sauder School of Business
Feng Mai
University of Iowa Tippie College of Business
Chelsea Yang
UBC Sauder School of Business
Tengfei Zhang
Rutgers University, Rutgers School of Business-Camden