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Cited by 309

The DOI matches its Crossref record; 145 of the 145 references it cites were found in a registry or an index.

Personnel selection as a signaling game.

Bangerter, Adrian, Roulin, Nicolas, König, Cornelius J.·2012·Journal of Applied Psychology

Abstract

Personnel selection involves exchanges of information between job market actors (applicants and organizations). These actors do not have an incentive to exchange accurate information about their ability and commitment to the employment relationship unless it is to their advantage. This state of affairs explains numerous phenomena in personnel selection (e.g., faking). Signaling theory describes a mechanism by which parties with partly conflicting interests (and thus an incentive for deception) can nevertheless exchange accurate information. We apply signaling theory to personnel selection, distinguishing between adaptive relationships between applicants and organizations, among applicants, and among organizations. In each case, repeated adaptations and counteradaptations between actors can lead to situations of equilibrium or escalation (arms races). We show that viewing personnel selection as a network of adaptive relationships among job market actors enables an understanding of both classic and underexplored micro- and macro-level selection phenomena and their dynamic interactions.

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Metadata

Authors
Bangerter, A., Roulin, N., & König, C. J.
Venue
Journal of Applied Psychology
Published
2012
Volume
97
Issue
4
Pages
719-738
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W2101049208
Cited by
309
References
145
FWCI
14.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Personnel selection as a signaling game. https://app.cochat.ai/papers/10.1037/a0026078
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Bangerter, A., Roulin, N., & König, C. J. (2012). Personnel selection as a signaling game. Journal of Applied Psychology. https://doi.org/10.1037/a0026078

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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.