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Cited by 283

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Diagnosing organizational cultures: A conceptual and empirical review of culture effectiveness surveys

Denison, Daniel, Nieminen, Levi, Kotrba, Lindsey·2014·European Journal of Work and Organizational Psychology

Abstract

This review traces the development of survey research methods within the organizational culture tradition and focuses specifically on those instruments that measure the aspects of culture that are related to organizational effectiveness. Our review suggests that the reliability and validity of most instruments in this category is quite limited. This review outlines the recommended logic for the development and validation of culture effectiveness surveys and identifies three key challenges for future culture researchers to address: (1) the confirmatory testing of nested models, (2) the guidelines for aggregating data to the organizational level, and (3) the establishing of criterion-related validity. Using data from the Denison Organizational Culture Survey, we present an empirical illustration of the three challenges identified above and conclude by considering limitations and opportunities for future research.

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Metadata

Authors
Denison, D., Nieminen, L., & Kotrba, L.
Venue
European Journal of Work and Organizational Psychology
Published
2012-08-28
Volume
23
Issue
1
Pages
145-161
ISSN
  • 1359-432X (ISSN-L)
  • 1464-0643
OpenAlex
W2094732943
Cited by
283
References
5
FWCI
12.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Diagnosing organizational cultures: A conceptual and empirical review of culture effectiveness surveys. https://app.cochat.ai/papers/10.1080/1359432x.2012.713173
The paper
Denison, D., Nieminen, L., & Kotrba, L. (2014). Diagnosing organizational cultures: A conceptual and empirical review of culture effectiveness surveys. European Journal of Work and Organizational Psychology. https://doi.org/10.1080/1359432x.2012.713173

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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.