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Cited by 573

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

What happens when transparency meets blame-avoidance?

Hood, Christopher·2007·Public Management Review

Abstract

This article explores what happens when the much-discussed doctrine of transparency as a key to good governance meets the widely observed behavioural tendency of blame-avoidance in politics and public administration. It begins by discussing transparency as an idea and distinguishing different strains of the doctrine, proceeds to discuss blame-avoidance and to identify three common types of blame-avoidance strategy, and then explores what can happen when a widely advocated governance doctrine meets a commonly observed type of behaviour. The article identifies ways in which that conjunction can produce nil effects, side-effects and reverse-effects in the pursuit of transparency. It concludes that the tension between the pursuit of transparency and the avoidance of blame is at the heart of some commonly observed problems in public management, and suggests that something other than the ‘bureaucratic’ strain of transparency may be called for when those problems are serious.

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Crossref · 10.1080/14719030701340275

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Metadata

Authors
Hood, C.
Venue
Public Management Review
Published
2007-06
Volume
9
Issue
2
Pages
191-210
ISSN
  • 1461-667X (ISSN-L)
  • 1471-9037
  • 1471-9045
OpenAlex
W2121004042
Cited by
573
References
48
FWCI
10.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What happens when transparency meets blame-avoidance? https://app.cochat.ai/papers/10.1080/14719030701340275
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Hood, C. (2007). What happens when transparency meets blame-avoidance? Public Management Review. https://doi.org/10.1080/14719030701340275

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.