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Cited by 1,252

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

BOARD COMPOSITION FROM A STRATEGIC CONTINGENCY PERSPECTIVE

Pearce, John A., Zahra, Shaker A.·1992·Journal of Management Studies

Abstract

This study examined the association between corporations’environments, strategies, and past performance and the composition of their boards of directors as measured by size and outside director representation. The environment, strategy and past performance were viewed as posing a strategic contingency; each of these sets could determine the success or failure of the company. Data on 119 Fortune 500 industrial companies for the 1983‐9 period were used. Canonical analysis showed that increased uncertainty of a firm's environment, use of external growth and diversification; reliance on leverage as a means of finance, and poor past financial performance were associated with large board size and increased outside representation in subsequent years. Most important, board composition was positively associated with future measurements of corporate financial performance.

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Crossref · 10.1111/j.1467-6486.1992.tb00672.x

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Metadata

Authors
Pearce, J. A., & Zahra, S. A.
Venue
Journal of Management Studies
Publisher
Wiley
Published
1992-07
Volume
29
Issue
4
Pages
411-438
ISSN
  • 0022-2380 (ISSN-L)
  • 1467-6486
OpenAlex
W2120463276
Cited by
1,252
References
55
FWCI
25.16
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: BOARD COMPOSITION FROM A STRATEGIC CONTINGENCY PERSPECTIVE. https://app.cochat.ai/papers/10.1111/j.1467-6486.1992.tb00672.x
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Pearce, J. A., & Zahra, S. A. (1992). BOARD COMPOSITION FROM A STRATEGIC CONTINGENCY PERSPECTIVE. Journal of Management Studies. https://doi.org/10.1111/j.1467-6486.1992.tb00672.x

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.