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Cited by 354

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Crises and Crisis Management: Toward Comprehensive Government Decision Making

Rosenthal, U., Kouzmin, A.·1997·Journal of Public Administration Research and Theory

Abstract

Industrial Society is susceptibile to catastrophic events, including technological disasters and social and political crises. Risk, uncertainty, crisis, collective stress, and “normal accidents” now need to be incorporated into a broader understanding of how governments and decision makers respond to the un-ness of crisis situations: unpleasantness in unexpected circumstances, representing unscheduled events, unprecedented in their implications and, by normal routine standards, almost unmanageable. Current horizons in disaster and related studies need to be broadened to incorporate a political-administrative perspective on crises and crisis management. Prevailing insights within disaster studies are reviewed, and a broader crisis typology is presented. In addition, a five-step heuristic is outlined that helps to identify perceived administrative challenges posed by specific crisis events. Finally, some general patterns of governmental crisis intervention are outlined in a second typology in order to stimulate more generic future research into crisis episodes.

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Crossref · 10.1093/oxfordjournals.jpart.a024349

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Metadata

Authors
Rosenthal, U., & Kouzmin, A.
Venue
Journal of Public Administration Research and Theory
Published
1997-04-01
Volume
7
Issue
2
Pages
277-304
ISSN
  • 1053-1858 (ISSN-L)
  • 1477-9803
OpenAlex
W2316483970
Cited by
354
References
1
FWCI
1.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Crises and Crisis Management: Toward Comprehensive Government Decision Making. https://app.cochat.ai/papers/10.1093/oxfordjournals.jpart.a024349
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Rosenthal, U., & Kouzmin, A. (1997). Crises and Crisis Management: Toward Comprehensive Government Decision Making. Journal of Public Administration Research and Theory. https://doi.org/10.1093/oxfordjournals.jpart.a024349

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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.