Artikel

Gender diversity and team performance under time pressure: The role of team withdrawal and information elaboration

Findings in the extant literature are mixed concerning when and how gender diversity benefits team performance. We develop and test a model that posits that gender‐diverse teams outperform gender‐homogeneous teams when perceived time pressure is low, whereas the opposite is the case when perceived time pressure is high. Drawing on the categorization‐elaboration model (CEM; van Knippenberg, De Dreu, & Homan, 2004), we begin with the assumption that information elaboration is the process whereby gender diversity fosters positive effects on team performance. However, also in line with the CEM, we argue that this process can be disrupted by adverse team dynamics. Specifically, we argue that as time pressure increases, higher gender diversity leads to more team withdrawal, which, in turn, moderates the positive indirect effect of gender diversity on team performance via information elaboration such that this effect becomes weaker as team withdrawal increases. In an experimental study of 142 four‐person teams, we found support for this model that explains why perceived time pressure affects the performance of gender‐diverse teams more negatively than that of gender‐homogeneous teams. Our study sheds new light on when and how gender diversity can become either an asset or a liability for team performance.

Language
Englisch

Bibliographic citation
Journal: Journal of Organizational Behavior ; ISSN: 1099-1379 ; Volume: 43 ; Year: 2022 ; Issue: 7 ; Pages: 1224-1239 ; Hoboken, NJ: Wiley

Classification
Management
Subject
gender diversity
information elaboration
perceived time pressure
team performance
team withdrawal

Event
Geistige Schöpfung
(who)
Kearney, Eric
Razinskas, Stefan
Weiss, Matthias
Hoegl, Martin
Event
Veröffentlichung
(who)
Wiley
(where)
Hoboken, NJ
(when)
2022

DOI
doi:10.1002/job.2630
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Kearney, Eric
  • Razinskas, Stefan
  • Weiss, Matthias
  • Hoegl, Martin
  • Wiley

Time of origin

  • 2022

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