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
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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Is the desire for status a fundamental human motive? A review of the empirical literature.
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The Psychology of Competition: A Social Comparison Perspective
Garcia, S. M., Tor, A., & Schiff, T. M. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691613504114 · Cited by 520
Renewing Research on Problemistic Search—A Review and Research Agenda
Posen, H. E., Keil, T., Kim, S., & Meissner, F. D. (2018) · Academy of Management Annals · doi:10.5465/annals.2016.0018 · Cited by 462
Cui, L., Meyer, K. E., & Hu, H. W. (2014) · Journal of World Business · doi:10.1016/j.jwb.2013.12.003 · Cited by 332
Digital Games and Beyond: What Happens When Players Compete?1
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Metadata
- Authors
- Kilduff, G. J., Elfenbein, H. A., & Staw, B. M.
- Venue
- Academy of Management Journal
- Publisher
- Academy of Management
- 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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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.