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Cited by 419

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

Undeserved Loss: The Spread of Legitimacy Loss to Innocent Organizations in Response to Reported Corporate Deviance

Open access
Jonsson, Stefan, Greve, Henrich R., Fujiwara-Greve, Takako·2009·Administrative Science Quarterly

Abstract

This paper theorizes about why discoveries of corporate deviance that damage the legitimacy of the responsible organization may also have consequences for other organizations. We propose that audiences generalize from deviance by one organization to others that are similar. The result is a withdrawal from transactions even from non-culpable organizations as audiences seek to avoid organizations that they associate with a deviant act. We show that two scandals involving Skandia AB, a Swedish insurance firm that had a subsidiary offering mutual funds, affected mutual fund providers owned by other insurance firms in 2000–2004, as well as mutual fund subsidiaries of other firms with similar characteristics. The effect was greatest for firms more similar to Skandia and firms owning real estate, which was the context for one of the scandals. Thus audience members' categorization rules lead to spread of legitimacy loss in response to an isolated act of organizational deviance.

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Metadata

Authors
Jonsson, S., Greve, H. R., & Fujiwara-Greve, T.
Venue
Administrative Science Quarterly
Published
2009-06
Volume
54
Issue
2
Pages
195-228
ISSN
  • 0001-8392 (ISSN-L)
  • 1930-3815
OpenAlex
W2119265245
Cited by
419
References
110
FWCI
38.53
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Undeserved Loss: The Spread of Legitimacy Loss to Innocent Organizations in Response to Reported Corporate Deviance. https://app.cochat.ai/papers/10.2189/asqu.2009.54.2.195
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Jonsson, S., Greve, H. R., & Fujiwara-Greve, T. (2009). Undeserved Loss: The Spread of Legitimacy Loss to Innocent Organizations in Response to Reported Corporate Deviance. Administrative Science Quarterly. https://doi.org/10.2189/asqu.2009.54.2.195

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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.