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Cited by 418

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Small Business in the Face of Crisis: Identifying Barriers to Recovery from a Natural Disaster1

Runyan, Rodney C.·2006·Journal of Contingencies and Crisis Management

Abstract

The crisis management literature has not dealt in depth with small business response to disasters. This study takes a qualitative approach to consider how small businesses respond to and recover from a large disaster, by interviewing stakeholders in five different communities in the Gulf Coast of the United States. Events that are considered to be crises in nature are usually characterized by high consequence, low probability, ambiguity, and decision making time pressure. Hurricane Katrina and its aftermath caused small business owners in the U.S. Gulf region to experience each of these. Findings include lack of planning by small business; vulnerability to cash flow interruption; lack of access to capital for recovery; problems caused by federal assistance; and serious infrastructure problems impeding recovery.

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Crossref · 10.1111/j.1468-5973.2006.00477.x

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Metadata

Authors
Runyan, R. C.
Venue
Journal of Contingencies and Crisis Management
Publisher
Wiley
Published
2006-03
Volume
14
Issue
1
Pages
12-26
ISSN
  • 0966-0879 (ISSN-L)
  • 1468-5973
OpenAlex
W2012796636
Cited by
418
References
5
FWCI
20.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Small Business in the Face of Crisis: Identifying Barriers to Recovery from a Natural Disaster1. https://app.cochat.ai/papers/10.1111/j.1468-5973.2006.00477.x
The paper
Runyan, R. C. (2006). Small Business in the Face of Crisis: Identifying Barriers to Recovery from a Natural Disaster1. Journal of Contingencies and Crisis Management. https://doi.org/10.1111/j.1468-5973.2006.00477.x

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.