Artificial intelligence (AI) is increasingly integrated into corporate strategies and operations, attracting considerable scholarly and practical attention, as well as raising important questions about its implications for firms’ sustainable development. The emerging body of literature has largely focused on the association between AI adoption and firm profitability, overlooking its implications for sustainable corporate governance. To address this gap in the literature, this study develops a novel AI adoption index to examine whether the adoption of AI is associated with stronger environmental, social, and governance (ESG) engagement among Japanese firms. Based on Stakeholder Theory and the Resource-Based View, we find for our sample of 145 Japanese firms that a higher AI adoption rate positively correlates with a higher overall ESG engagement. Specifically, our findings indicate that, after robustness checks, AI adoption is associated with social engagement scores, but not with environmental or governance engagement scores.
Artificial intelligence (AI) is increasingly reshaping how firms organize production, make
decisions, and compete in modern economies. This paper examines the relationship between AI
adoption and firm-level productivity, focusing on how the integration of AI technologies influences
operational efficiency, innovation, a...
Bianca Mazareanu· Business Administration Stud...· 0 citations
This study contributes a unified research model for stakeholder-specific AI adoption, demonstrates a mixed quantitative-qualitative approach, and establishes a scalable foundation beginning with engineers and extending to other stakeholders through future empirical validation.
The empirical results reveal that GAI adoption is positively associated with ESG performance, whereas DAI does not exhibit a similar relationship and offers valuable insights for policymakers and regulators into the distinct roles of generative and discriminative AI in shaping corporate ESG outcomes.
Tian Wang, Dong Lu, Yi-De Liu· Humanities and Social Scienc...· 0 citations
The results indicate that strong governance arrangements, such as model governance, accountability frameworks, board supervision, and alignment with organizational risk appetite, are necessary for successfully deploying AI-enabled ESG.
Rini Marlina, Rosa Christiana Esti Noor Sumaryanti, Poltak Maruli John Liberty Hutagaol· Asian Management and Busines...· 0 citations
Positive effect of QM on AI adoption is amplified by high innovation sustainability and chief executive officers (CEOs) with IT backgrounds, and is particularly pronounced in large, non-state-owned firms within highly competitive industries and the eastern regions of China.
Examining how artificial intelligence is being adopted across eight APO member economies and the conditions required to translate task-level efficiency gains into broader public sector productivity improvements highlights a central paradox.
Nobuyuki Shirakawa· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
