JOURNAL ARTICLE
The Diversity Heuristic: How Team Demographic Composition Influences Judgments of Team Creativity.
Published In: Management Science (INFORMS), 2024, v. 70, n. 6. P. 3879 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Proudfoot, Devon; Berry, Zachariah; Chang, Edward H.; Kay, Min B. 3 of 3
Abstract
This article investigates the lay belief that demographic diversity—specifically differences in race and gender—increases team creativity and how this belief influences observers' judgments of teams and their creative output. Across eight preregistered studies involving over 5,500 participants, the research finds that observers consistently judge demographically diverse teams as more creative than homogeneous teams, including when evaluating identical products attributed to different team compositions. The studies identify perceived cognitive diversity—the assumption that demographic differences signal differences in perspectives and knowledge—as a key mechanism driving these judgments. Additionally, the research reveals a curvilinear relationship between the proportion of racial minorities or women in a group and perceived creativity, and shows that evaluators prefer to add diverse members to teams when tasks require creativity. These findings highlight how popular beliefs about diversity and creativity may shape organizational decisions, potentially affecting which teams and ideas receive recognition, while also raising considerations about stereotyping and the accuracy of creativity assessments.
Additional Information
- Source:Management Science (INFORMS). 2024/06, Vol. 70, Issue 6, p3879
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2024
- ISSN:0025-1909
- DOI:10.1287/mnsc.2023.4862
- Accession Number:177878300
- Copyright Statement:Copyright of Management Science (INFORMS) is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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