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Artificial intelligence (AI) and corporate governance: Evidence from board size
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“since AI systems can inadvertently reinforce embedded biases in data and algorithms and thus pose risks for ethical and responsible decision-making in sustainability-oriented strategies.”
From Artificial Intelligence in Managerial Decision-Making for Sustainable Business Models: A Systematic Literature Review (2026) · cites this paper as [58]
In the citing paper
“According to Chatjuthamard et al. [58] a high degree of automation may reduce managerial oversight and weaken the role of human judgment, especially in complex sustainability trade-offs that require normative or value-based reasoning.”
From Artificial Intelligence in Managerial Decision-Making for Sustainable Business Models: A Systematic Literature Review (2026) · cites this paper as [58]
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Cited by
Urbanovič, M., & Holubčík, M. (2026) · Systems · doi:10.3390/systems14030245 · Cited by 9
Балабуха, К. (2026) · Економіка та суспільство · doi:10.32782/2524-0072/2026-83-97
Artificial intelligence, financial investment, and corporate mergers and acquisitions
Chen, S., & Shen, S. (2026) · International Review of Economics & Finance · doi:10.1016/j.iref.2026.105694
Ma, Q., Bai, Y., Yu, W., Liu, T., & Li, S. (2026) · Sustainability · doi:10.3390/su181910190
Metadata
- Authors
- Chatjuthamard, P., Jiraporn, P., & Lee, S. M.
- Affiliations
- Chulalongkorn University (TH)
- Pennsylvania State University (US)
- Corresponding author
- Chatjuthamard, Pattanaporn
- Jiraporn, Pornsit
- Lee, Sang Mook
- Venue
- Journal of Behavioral and Experimental Finance
- Publisher
- Elsevier BV
- Published
- 2026-03
- Volume
- 49
- Pages
- 101144
- ISSN
- 2214-6350 (ISSN-L)
- OpenAlex
- W7124161722
- Cited by
- 4
- References
- 60
- Citations by year
- 2026: 4
- FWCI
- 73.58
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Journal of Behavioral and Experimental Finance (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Finance › Corporate Finance and Governance
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Firm Innovation and Growth
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Organizational Management and Leadership
- Keywords
- artificial intelligence adoption, board size, corporate governance, board governance, R&D-intensive firms, cash reserves, firm adaptability, strategic decision-making
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.