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Cited by 573

The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.

The Psychology of Rivalry: A Relationally Dependent Analysis of Competition

Kilduff, Gavin J., Elfenbein, Hillary Anger, Staw, Barry M.·2010·Academy of Management Journal

Abstract

We investigate the psychological phenomenon of rivalry and propose that competition is inherently relational, thus extending the literatures on competition between individuals, groups, and firms. Specifically, we argue that competitors' relationships, determined by their proximity, attributes, and prior competitive interactions, influence the subjective intensity of rivalry between them, which in turn affects their competitive behavior. Initial tests in NCAA basketball support these ideas, indicating that teams' similarity and interaction histories systematically predict rivalry, and that rivalry may affect team members' motivation and performance. Implications for the management of employees, as well as for organizations' competitive strategies, are significant.

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Crossref · 10.5465/amj.2010.54533171

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Metadata

Authors
Kilduff, G. J., Elfenbein, H. A., & Staw, B. M.
Venue
Academy of Management Journal
Published
2010-10
Volume
53
Issue
5
Pages
943-969
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2156715281
Cited by
573
References
136
FWCI
34.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Psychology of Rivalry: A Relationally Dependent Analysis of Competition. https://app.cochat.ai/papers/10.5465/amj.2010.54533171
The paper
Kilduff, G. J., Elfenbein, H. A., & Staw, B. M. (2010). The Psychology of Rivalry: A Relationally Dependent Analysis of Competition. Academy of Management Journal. https://doi.org/10.5465/amj.2010.54533171

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.