The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Artificial intelligence (AI) and corporate governance: Evidence from board size
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
Upper Echelons: The Organization as a Reflection of Its Top Managers
Hambrick, D. C., & Mason, P. A. (1984) · The Academy of Management Review · doi:10.5465/amr.1984.4277628 · Cited by 10,220
Higher market valuation of companies with a small board of directors
Yermack, D. (1996) · Journal of Financial Economics · doi:10.1016/0304-405x(95)00844-5 · Cited by 6,659
Hainmueller, J. (2012) · Political Analysis · doi:10.1093/pan/mpr025 · Cited by 6,026
Women in the boardroom and their impact on governance and performance☆
Adams, R. B., & Ferreira, D. (2009) · Journal of Financial Economics · doi:10.1016/j.jfineco.2008.10.007 · Cited by 5,752
Unobservable Selection and Coefficient Stability: Theory and Evidence
Oster, E. (2019) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2016.1227711 · Cited by 5,367
Robots and Jobs: Evidence from US Labor Markets
Acemoglu, D., & Restrepo, P. (2020) · Journal of Political Economy · doi:10.1086/705716 · Cited by 4,088
Boards of Directors and Firm Performance: Integrating Agency and Resource Dependence Perspectives
Hillman, A. J., & Dalziel, T. (2003) · Academy of Management Review · doi:10.5465/amr.2003.10196729 · Cited by 3,213
Boards of Directors and Corporate Financial Performance: A Review and Integrative Model
Zahra, S. A., & Pearce, J. A. (1989) · Journal of Management · doi:10.1177/014920638901500208 · Cited by 2,671
Does Compulsory School Attendance Affect Schooling and Earnings?
Angrist, J. D., & Krueger, A. B. (1991) · The Quarterly Journal of Economics · doi:10.2307/2937954 · Cited by 2,565
Research works printed but not linked: 14
- Babina, 2024, Artificial intelligence, firm growth, and product innovation, J. Financ. Econ., 151
- Cath, 2018, Artificial intelligence and the “good society”: The US, EU, and UK approach, Sci. Eng. Ethics, 24, 505
- Chatjuthamard, 2023, Corporate culture, innovation, and board size: Recent evidence from machine learning and earnings conference calls, SSRN Electron. J.
- Cockburn, 2018, Impact Artif. Intell. Innov., 24449
- Hermalin, 2001, Boards Dir. Endog. determined Inst. A Surv. Econ. Lit.
- Jensen, 1993, The modern industrial revolution, exit, and the failure of internal control systems, J. Finance, 48, 831, 10.1111/j.1540-6261.1993.tb04022.x · DOI
- Jenter, 2023, Does board size matter?, SSRN Electron. J., 916
- Knyazeva, 2013, The supply of corporate directors and board independence, Rev. Financ. Stud., 26, 1561, 10.1093/rfs/hht020 · DOI · Paper page
- Konadu, 2022, Board gender diversity, environmental innovation and corporate carbon emissions, Technol. Forecast. Soc. Change, 174
- Li, 2010, Textual analysis of corporate disclosures: A survey of the literature, J. Account. Lit., 29, 143
- Lipton, 1992, A Modest Proposal for Improved Corporate Governance, Bus. Lawyer, 48, 59
- Lu, 2022, Board of directors’ attributes and corporate outcomes: A systematic literature review and future research agenda, Int. Rev. Financ. Anal., 84
- Ongsakul, 2024, Corporate culture and shareholder litigation rights: evidence from a quasi-natural experiment and textual analysis, Rev. Behav. Financ.
- Wongsinhirun, 2023, Corporate culture and board gender diversity: Evidence from textual analysis, Int. Rev. Financ. Anal., 86
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.