The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Who Shall Govern? CEO/Board Power, Demographic Similarity, and New Director Selection
Abstract
Both authors contributed equally to the paper. The helpful comments of Joe Baumann, Jerry Davis, Joe Moag, Mark Shanley, Brian Uzzi, Christine Oliver, and three anonymous ASQ reviewers are appreciated. We also thank Linda Pike for her excellent editorial work. An earlier version of the paper received the 1994 Best Paper Award in the Organization and Management Theory Division of the Academy of Management. This study examines CEO influence in the board of director selection process and the theoretical mechanism by which CEO influence is presumed to affect subsequent board decision making on CEO compensation. We address both of these issues by linking political and social psychological perspectives on organizational governance. We propose that powerful CEOs seek to appoint new board members who are demographically similar, and therefore more sympathetic, to them. Using a longitudinal research design and data on 413 Fortune/Forbes 500 companies from 1986 to 1991, we examine whether increased demographic similarity affects board decision making with respect to CEO compensation contracts. The results show that (1) when incumbent CEOs are more powerful than their boards of directors, new directors are likely to be demographically similar to the firm's CEO; (2) when boards are more powerful than their CEOs, new directors resemble the existing board; and (3) greater demographic similarity between the CEO and the board is likely to result in more generous CEO compensation contracts. We discuss the implications of the strong effect of demographic similarity for corporate control issues.'
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(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305
The pricing of options and corporate liabilities
Black, F., & Scholes, M. (1973) · Journal of Political Economy · doi:10.1086/260062 · Cited by 29,074
Organizational Strategy, Structure, and Process
Miles, R. E., Snow, C. C., Meyer, A. D., & Coleman, H. J. (1978) · Academy of Management Review · doi:10.5465/amr.1978.4305755 · Cited by 4,527
Power in Top Management Teams: Dimensions, Measurement, and Validation
Finkelstein, S. (1992) · Academy of Management Journal · doi:10.5465/256485 · Cited by 2,389
Top executive commitment to the status quo: Some tests of its determinants
Hambrick, D. C., Geletkanycz, M. A., & Fredrickson, J. W. (1993) · Strategic Management Journal · doi:10.1002/smj.4250140602 · Cited by 1,058
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Metadata
- Authors
- Westphal, J. D., & Zajac, E. J.
- Venue
- Administrative Science Quarterly
- Publisher
- JSTOR
- Published
- 1995-03
- Volume
- 40
- Issue
- 1
- Pages
- 60
- ISSN
- 0001-8392 (ISSN-L)
- OpenAlex
- W2324843366
- Cited by
- 1,231
- References
- 5
- FWCI
- 62.03
- Type
- journal article
- Language
- en
- Open access
- closed
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