The DOI matches its Crossref record.
Corporate Governance
Abstract
After a long hiatus, the study of corporate governance has recently enjoyeda revival, but few points of consensus have emerged. Political differences are sometimes responsible for this impasse,' but failure to address the economics of corporate governance in microanalytic terms is also a factor. Lacking a framework that permits detailed analysis of transactions among the various constituencies of the corporation-labor, owners, suppliers, customers, the community and management-commentators have presented their arguments at such a high level of generality that an assessment of the merits of the alternative positions is very difficult. This Article is meant to address that shortcoming. The focus throughout is on publicly held corporations in the manufacturing sector.
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Citations
Cited by
García-Meca, E., & Sánchez-Ballesta, J. P. (2010) · European Accounting Review · doi:10.1080/09638180.2010.496979 · Cited by 197
Doh, J. P., Teegen, H., & Mudambi, R. (2004) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8400082 · Cited by 120
Social Contracting as a Trust-Building Process of Network Governance
Calton, J. M., & Lad, L. J. (1995) · Business Ethics Quarterly · doi:10.2307/3857357 · Cited by 100
Metadata
- Authors
- Williamson, O.
- Venue
- The Yale Law Journal
- Publisher
- JSTOR
- Published
- 1984-06
- Volume
- 93
- Issue
- 7
- Pages
- 1197
- ISSN
- 0044-0094 (ISSN-L)
- OpenAlex
- W4243445849
- Cited by
- 288
- References
- 0
- FWCI
- 9.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Corporate Governance. https://app.cochat.ai/papers/10.2307/796256
- The paper
- Williamson, O. (1984). Corporate Governance. The Yale Law Journal. https://doi.org/10.2307/796256
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.