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Cited by 526

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

She'‐e‐os: gender effects and investor reactions to the announcements of top executive appointments

Lee, Peggy M., James, Erika Hayes·2007·Strategic Management Journal

Abstract

This study uses Kanter's token status theory to link announcements of top executives to shareholder reactions, highlighting possible gender effects. Using a sample of top executive announcements from 1990 to 2000, our results show that investor reactions to the announcements of female CEOs are significantly more negative than those of their male counterparts. Furthermore, women who have been promoted from within a firm are viewed more positively than women who come from outside. To supplement our analysis of investor reactions, we also analyze the text of popular press articles surrounding the announcements of male and female CEOs. These results show that articles about the appointment of a female CEO tend to emphasize gender, gender‐related and other job or organizational considerations. Copyright © 2007 John Wiley & Sons, Ltd.

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Metadata

Authors
Lee, P. M., & James, E. H.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2007-01-30
Volume
28
Issue
3
Pages
227-241
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2798008933
Cited by
526
References
4
FWCI
27.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: She'‐e‐os: gender effects and investor reactions to the announcements of top executive appointments. https://app.cochat.ai/papers/10.1002/smj.575
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Lee, P. M., & James, E. H. (2007). She'‐e‐os: gender effects and investor reactions to the announcements of top executive appointments. Strategic Management Journal. https://doi.org/10.1002/smj.575

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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.