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Cited by 2,841

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Identification in Organizations: An Examination of Four Fundamental Questions

Ashforth, Blake E., Harrison, Spencer H., Corley, Kevin G.·2008·Journal of Management

Abstract

The literature on identification in organizations is surprisingly diverse and large. This article reviews the literature in terms of four fundamental questions. First, under “What is identification?,” it outlines a continuum from narrow to broad formulations and differentiates situated identification from deep identification and organizational identification from organizational commitment. Second, in answer to “Why does identification matter?,” it discusses individual and organizational outcomes as well as several links to mainstream organizational behavior topics. Third, regarding “How does identification occur?,” it describes a process model that involves cycles of sensebreaking and sensegiving, enacting identity and sensemaking, and constructing identity narratives. Finally, under “One or many?,” it discusses team, workgroup, and subunit; relational; occupational and career identifications; and how multiple identifications may conflict, converge, and combine.

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Metadata

Authors
Ashforth, B. E., Harrison, S. H., & Corley, K. G.
Venue
Journal of Management
Published
2008-03-07
Volume
34
Issue
3
Pages
325-374
ISSN
  • 0149-2063 (ISSN-L)
  • 1557-1211
OpenAlex
W2122281343
Cited by
2,841
References
24
FWCI
105.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Identification in Organizations: An Examination of Four Fundamental Questions. https://app.cochat.ai/papers/10.1177/0149206308316059
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Ashforth, B. E., Harrison, S. H., & Corley, K. G. (2008). Identification in Organizations: An Examination of Four Fundamental Questions. Journal of Management. https://doi.org/10.1177/0149206308316059

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.