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Cited by 973

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Evidence toward an expanded model of organizational identification

Kreiner, Glen E., Ashforth, Blake E.·2004·Journal of Organizational Behavior

Abstract

Recent research on organizational identification has called for the consideration of an expanded model of identification, which would include a more thorough treatment of the ways an individual could derive his or her identity from the organization. This paper begins to answer that call by testing operationalizations of the four dimensions of the expanded model: identification, disidentification, ambivalent identification, and neutral identification. Survey results from 330 employed adults support the discriminability of the four dimensions. This exploratory study also begins to establish the criterion‐related validity of the model by examining organizational, job‐related, and individual difference variables associated with the four dimensions of the model, and suggests implications for the expanded model's strong potential for applications in organizational identification research. Copyright © 2004 John Wiley & Sons, Ltd.

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Metadata

Authors
Kreiner, G. E., & Ashforth, B. E.
Venue
Journal of Organizational Behavior
Publisher
Wiley
Published
2003-12-23
Volume
25
Issue
1
Pages
1-27
ISSN
  • 0894-3796 (ISSN-L)
  • 1099-1379
OpenAlex
W2011610487
Cited by
973
References
8
FWCI
23.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evidence toward an expanded model of organizational identification. https://app.cochat.ai/papers/10.1002/job.234
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Kreiner, G. E., & Ashforth, B. E. (2004). Evidence toward an expanded model of organizational identification. Journal of Organizational Behavior. https://doi.org/10.1002/job.234

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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.