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Cited by 349

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Corporate Reputation and Women on the Board

Brammer, Stephen, Millington, Andrew, Pavelin, Stephen·2009·British Journal of Management

Abstract

In this paper, we investigate the determinants of corporate reputation, derived from the assessments of managers and market analysts, of a sample of large UK firms. Along with the influences of a variety of firm attributes, we find a reputational effect associated with a female presence at board level. This effect varies across sectors and demonstrates the influence of a firm's stakeholder environment in determining whether a female presence on the board enhances or harms the reputation of the firm. The pattern that emerges indicates that the presence of women on the board is favourably viewed in only those sectors that operate close to final consumers. We argue that the nature of this effect reflects an imperative for equality of representation that highlights the need to reflect gender diversity among customers.

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Crossref · 10.1111/j.1467-8551.2008.00600.x

Cites

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Metadata

Authors
Brammer, S., Millington, A., & Pavelin, S.
Venue
British Journal of Management
Publisher
Wiley
Published
2009-01-30
Volume
20
Issue
1
Pages
17-29
ISSN
  • 1045-3172 (ISSN-L)
  • 1467-8551
OpenAlex
W1965255114
Cited by
349
References
42
FWCI
29.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Corporate Reputation and Women on the Board. https://app.cochat.ai/papers/10.1111/j.1467-8551.2008.00600.x
The paper
Brammer, S., Millington, A., & Pavelin, S. (2009). Corporate Reputation and Women on the Board. British Journal of Management. https://doi.org/10.1111/j.1467-8551.2008.00600.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.