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Cited by 1,102

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Multiplicity of Institutional Logics and the Heterogeneity of Organizational Responses

Greenwood, Royston, Díaz, Amalia Magán, Li, Stan Xiao, Lorente, José Céspedes·2010·Organization Science

Abstract

This paper shows that organizations in market settings face complex institutional contexts to which they respond in different though patterned ways. We show how both regional state logics and family logics impact on organizational responses to an overarching market logic. Regional logics are particularly potent when the activities of firms, especially of large firms, are concentrated in regions whose governments champion regional distinctiveness and where the regional activities of the firm are significant. Family logics affect the decision to downsize, especially in smaller firms. This paper advances institutional theory by showing the influences of nonmarket institutions on market behavior, contributes to the growing recognition of community influences, and highlights the importance of historical context.

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Crossref · 10.1287/orsc.1090.0453

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Metadata

Authors
Greenwood, R., Díaz, A. M., Li, S. X., & Lorente, J. C.
Venue
Organization Science
Published
2010-04
Volume
21
Issue
2
Pages
521-539
ISSN
  • 1047-7039 (ISSN-L)
  • 1526-5455
OpenAlex
W2113421427
Cited by
1,102
References
2
FWCI
36.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Multiplicity of Institutional Logics and the Heterogeneity of Organizational Responses. https://app.cochat.ai/papers/10.1287/orsc.1090.0453
The paper
Greenwood, R., Díaz, A. M., Li, S. X., & Lorente, J. C. (2010). The Multiplicity of Institutional Logics and the Heterogeneity of Organizational Responses. Organization Science. https://doi.org/10.1287/orsc.1090.0453

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.