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Cited by 273

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Unlocking the effects of gender faultlines on team creativity: Is activation the key?

Pearsall, Matthew J., Ellis, Aleksander P. J., Evans, Joel M.·2008·Journal of Applied Psychology

Abstract

The purpose of this study was to use faultline theory to examine the effects of gender diversity on team creativity. Results from 80 teams working on an idea generation task indicated that the activation of gender faultlines negatively affected the number and overall creativity of ideas. However, gender faultlines that were not activated had no effect. Results also indicated that the relationship between activated gender faultlines and team creativity was partially mediated by the level of conflict within the team. Specifically, emotional conflict partially mediated the effects of activated gender faultlines on the number of ideas generated. Implications are discussed, as well as possible limitations and directions for future research.

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Crossref · 10.1037/0021-9010.93.1.225

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Metadata

Authors
Pearsall, M. J., Ellis, A. P. J., & Evans, J. M.
Venue
Journal of Applied Psychology
Published
2008-01
Volume
93
Issue
1
Pages
225-234
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2046903360
Cited by
273
References
15
FWCI
19.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Unlocking the effects of gender faultlines on team creativity: Is activation the key? https://app.cochat.ai/papers/10.1037/0021-9010.93.1.225
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Pearsall, M. J., Ellis, A. P. J., & Evans, J. M. (2008). Unlocking the effects of gender faultlines on team creativity: Is activation the key? Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.93.1.225

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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.