Journal article
Dissecting Corporate Culture Using Generative AI
The Review of financial studies, Vol.39(1), pp.253-296
01/01/2026
DOI: 10.1093/rfs/hhaf081
Abstract
We conduct the first large-scale study of how different stakeholder groups assess corporate culture and quantify the economic implications of those differences. We employ generative AI to analyze analyst reports, call transcripts, and employee reviews, and organize the extracted information into a knowledge graph that links a culture type to its perceived causes and effects. We demonstrate that the divergence in different stakeholder groups’ assessment of culture aligns with their distinct roles and economic incentives. Moreover, we show that analysts’ culture analyses are incorporated into stock recommendations and target prices, and investors react to divergence in stakeholders’ assessment of culture.
Details
- Title: Subtitle
- Dissecting Corporate Culture Using Generative AI
- Creators
- Kai Li - University of British ColumbiaFeng Mai - University of IowaRui Shen - Chinese University of Hong Kong, ShenzhenChelsea Yang - University of British ColumbiaTengfei Zhang - Rutgers Sexual and Reproductive Health and Rights
- Resource Type
- Journal article
- Publication Details
- The Review of financial studies, Vol.39(1), pp.253-296
- DOI
- 10.1093/rfs/hhaf081
- ISSN
- 0893-9454
- eISSN
- 1465-7368
- Publisher
- Oxford University Press
- Language
- English
- Electronic publication date
- 10/01/2025
- Date published
- 01/01/2026
- Academic Unit
- Business Analytics
- Record Identifier
- 9984969105402771
Metrics
83 Record Views