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Cited by 290

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Reputational Risk as a Logic of Organizing in Late Modernity

Power, Michael, Scheytt, Tobias, Soin, Kim, Sahlin, Kerstin·2009·Organization Studies

Abstract

This paper argues that it is useful to regard `reputational risk' as a pervasive logic of organizing and organizational attention. First, we suggest that the risk management agenda has expanded from its roots in technical analysis to become a cornerstone of good governance and responsible actorhood. We illustrate this claim in the context of English universities. Second, we suggest that this expansion in the reach and significance of risk management has increased organizational orientations to reputational risk and to more defensively and legalistically framed forms of asset management. Specifically, organizations are responding to the growth of external bodies which evaluate and rank, and thereby generate reputational risk. In the context of universities, we argue that this leads both to specific transformations in organizational practices in response to ranking systems, and also to an increased generalized concern with reputational risk, which is a symptom of late modern insecurity.

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Metadata

Authors
Power, M., Scheytt, T., Soin, K., & Sahlin, K.
Venue
Organization Studies
Published
2009-02
Volume
30
Issue
2-3
Pages
301-324
ISSN
  • 0170-8406 (ISSN-L)
  • 1741-3044
OpenAlex
W2033828709
Cited by
290
References
4
FWCI
41.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Reputational Risk as a Logic of Organizing in Late Modernity. https://app.cochat.ai/papers/10.1177/0170840608101482
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Power, M., Scheytt, T., Soin, K., & Sahlin, K. (2009). Reputational Risk as a Logic of Organizing in Late Modernity. Organization Studies. https://doi.org/10.1177/0170840608101482

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.