Organizational predictors of women on corporate boards

Amy Hillman, Christine Shropshire, Albert A. Cannella

Research output: Contribution to journalArticle

317 Citations (Scopus)

Abstract

Women are increasing in number among corporations' boards of directors, yet their representation is far from uniform across firms. In this study, we adopted a resource dependence theory lens to identify organizational predictors of women on boards. We tested our hypotheses using panel data from the 1,000 U.S. firms that were largest in terms of sales between 1990 and 2003. We found that organizational size, industry type, firm diversification strategy, and network effects (linkages to other boards with women directors) significantly impact the likelihood of female representation on boards of directors. Copyright of the Academy of Management, all rights reserved.

Original languageEnglish (US)
Pages (from-to)941-952
Number of pages12
JournalAcademy of Management Journal
Volume50
Issue number4
StatePublished - Aug 2007

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Lenses
Industry
Sales
Board of directors
Corporate boards
Predictors
Diversification strategy
Linkage
Panel data
Network effects
Resource dependence theory
Women directors
Organizational size
Firm diversification

ASJC Scopus subject areas

  • Business and International Management
  • Management of Technology and Innovation
  • Strategy and Management
  • Business, Management and Accounting(all)

Cite this

Organizational predictors of women on corporate boards. / Hillman, Amy; Shropshire, Christine; Cannella, Albert A.

In: Academy of Management Journal, Vol. 50, No. 4, 08.2007, p. 941-952.

Research output: Contribution to journalArticle

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