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Cited by 323

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

A Matter of Appearances: How Corporate Leaders Manage the Impressions of Financial Analysts about the Conduct of Their Boards

Westphal, James D., Graebner, Melissa E.·2010·Academy of Management Journal

Abstract

Our theory and findings suggest that relatively negative stock analyst appraisals prompt corporate leaders to increase externally visible dimensions of board independence without actually increasing board control of management. We also consider how relatively negative analyst appraisals may prompt impression management in CEO communications with analysts, whereby CEOs attest to their boards' tendency to monitor and control management on behalf of shareholders. We also find that increases in formal board independence, in combination with verbal impression management directed toward analysts, result in more favorable subsequent analyst appraisals of firms, despite a lack of effect on actual board control.

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Metadata

Authors
Westphal, J. D., & Graebner, M. E.
Venue
Academy of Management Journal
Published
2010-02
Volume
53
Issue
1
Pages
15-44
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2119571010
Cited by
323
References
121
FWCI
61.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Matter of Appearances: How Corporate Leaders Manage the Impressions of Financial Analysts about the Conduct of Their Boards. https://app.cochat.ai/papers/10.5465/amj.2010.48036721
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Westphal, J. D., & Graebner, M. E. (2010). A Matter of Appearances: How Corporate Leaders Manage the Impressions of Financial Analysts about the Conduct of Their Boards. Academy of Management Journal. https://doi.org/10.5465/amj.2010.48036721

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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.