Is Corporate Social Responsibility Changing in the Artificial Intelligence Era? A Bibliometric Overview and Research Agenda
ABSTRACT The rise of artificial intelligence (AI) presents both opportunities and challenges for corporate social responsibility (CSR), fundamentally altering how businesses address societal needs. Yet research at the CSR–AI interface remains fragmented. This study conducts a bibliometric analysis of 747 peer‐reviewed articles, encompassing 39,435 references to uncover the intellectual structure of CSR‐AI research. We address three key questions: the evolution of CSR‐AI studies, current research hotspots, and future directions. Our findings reveal nine intellectual subdomains, with web accessibility and online platforms as dominant themes. The CSR‐AI field has evolved through three growth stages, accelerating markedly in recent years, centering on sustainability, impact, and performance, while emerging frontiers focus on firm performance, co‐creation, and environmental sustainability. By synthesizing dispersed knowledge and mapping key trajectories, this study offers a systematic foundation for understanding how AI is redefining responsible business. It concludes with seven research opportunities to guide CSR–AI scholarship and practice.
Authors
- Min Guo (ORCID: https://orcid.org/0000-0003-2545-9582)
- Liming Zhao (ORCID: https://orcid.org/0000-0002-2094-9913)
- Xin He (ORCID: https://orcid.org/0000-0003-1722-9453)
Institutions
- Nanjing University of Finance and Economics (CN)
- Wenzhou University (CN)
- Xi’an University of Posts and Telecommunications (CN)
Publication Details
- Journal
- Corporate Social Responsibility and Environmental Management
- Published
- 2026-05-31
- DOI
- https://doi.org/10.1002/csr.70720
- Primary Topic
- Corporate Social Responsibility Reporting
- Type
- article
- Field-Weighted Citation Impact
- 0.00