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A longer shortlist increases the consideration of female candidates in male-dominant domains

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  • Lucas, Brian Jeffrey

    (Cornell University)

  • Berry, Zachariah
  • Giurge, Laura M.

    (Cornell University)

  • Chugh, Dolly

Abstract

Making it onto the shortlist is often a crucial early step toward professional advancement. For underrepresented candidates, one barrier to making the shortlist is the prevalence of informal recruitment practices (e.g., colleague recommendations). The current research investigates informal shortlists generated in male-dominant domains (e.g., technology executives) and tests a theory-driven intervention to increase the consideration of female candidates. Across ten studies (N = 5,741) we asked individuals to generate an informal shortlist of candidates for a male-dominant role and then asked them to extend the list. We consistently found more female candidates in the extended (versus initial) list. This longer shortlist effect occurs because continued response generation promotes divergence from the category prototype (e.g., male technology executives). Studies 3-4 supported this mechanism and Study 5 tested the effect of shortlist length on selection decisions. This longer shortlist intervention is a low-cost and simple way to support gender equity efforts.

Suggested Citation

  • Lucas, Brian Jeffrey & Berry, Zachariah & Giurge, Laura M. & Chugh, Dolly, 2021. "A longer shortlist increases the consideration of female candidates in male-dominant domains," OSF Preprints h7tnc, Center for Open Science.
  • Handle: RePEc:osf:osfxxx:h7tnc
    DOI: 10.31219/osf.io/h7tnc
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    Cited by:

    1. Van Borm, Hannah & Lippens, Louis & Baert, Stijn, 2022. "An Arab, an Asian, and a Black Guy Walk into a Job Interview: Ethnic Stigma in Hiring after Controlling for Social Class," IZA Discussion Papers 15707, Institute of Labor Economics (IZA).
    2. Van Borm, Hannah & Baert, Stijn, 2022. "Diving in the Minds of Recruiters: What Triggers Gender Stereotypes in Hiring?," IZA Discussion Papers 15261, Institute of Labor Economics (IZA).
    3. Magdalena Formanowicz & Marta Witkowska & Weronika Hryniszak & Zuzanna Jakubik & Aleksandra Cisłak, 2023. "Gender bias in special issues: evidence from a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2283-2299, April.

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