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.

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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
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article

Is Corporate Social Responsibility Changing in the Artificial Intelligence Era? A Bibliometric Overview and Research Agenda

Min Guo, Liming Zhao, Xin He
Corporate Social Responsibility and Environmental Management
Corporate Social Responsibility Reporting
article

Is Corporate Social Responsibility Changing in the Artificial Intelligence Era? A Bibliometric Overview and Research Agenda

Min Guo, Liming Zhao, Xin He
article en

Abstract

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.

Corporate Social Responsibility and Environmental Management
Nanjing University of Finance and Economics (CN), Wenzhou University (CN), Xi’an University of Posts and Telecommunications (CN)
Openalex Percentile: Top 5%
Corporate Social Responsibility Reporting
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Is Corporate Social Responsibility Changing in the Artificial Intelligence Era? A Bibliometric Overview and Research Agenda — Min Guo, Liming Zhao, et al. · Corporate Social Responsibility and Environmental Management (2026) | TGRS Research Map | TGRS