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Cited by 493

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Investors prefer entrepreneurial ventures pitched by attractive men

Open access
Brooks, Alison Wood, Huang, Laura, Kearney, Sarah Wood, Murray, Fiona E.·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: We identify a profound and consistent gender gap in entrepreneurship, a central path to job creation, economic growth, and prosperity. Across a field setting (three entrepreneurial pitch competitions in the United States) and two controlled experiments, we find that investors prefer entrepreneurial pitches presented by male entrepreneurs compared with pitches presented by female entrepreneurs, even when the content of the pitch is the same. This effect is moderated by male physical attractiveness: attractive males are particularly persuasive, whereas physical attractiveness does not matter among female entrepreneurs. These findings fundamentally advance the science related to gender, physical attractiveness, psychological persuasion, bias, role expectations, and entrepreneurship.

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Registry

Crossref · 10.1073/pnas.1321202111

Cites

40 of 40 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Brooks, A. W., Huang, L., Kearney, S. W., & Murray, F. E.
Venue
Proceedings of the National Academy of Sciences
Published
2014-03-10
Volume
111
Issue
12
Pages
4427-4431
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1981114063
Cited by
493
References
40
FWCI
45.55
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Investors prefer entrepreneurial ventures pitched by attractive men. https://app.cochat.ai/papers/10.1073/pnas.1321202111
The paper
Brooks, A. W., Huang, L., Kearney, S. W., & Murray, F. E. (2014). Investors prefer entrepreneurial ventures pitched by attractive men. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1321202111

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.