Resilience of small- and medium-sized enterprises as a correlation to community impact: an agent-based modeling approach

Brian Sauser (), Clifton Baldwin, Saba Pourreza, Wesley Randall and David Nowicki
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Brian Sauser: University of North Texas
Clifton Baldwin: Stockton University
Saba Pourreza: University of North Carolina-Wilmington
Wesley Randall: University of North Texas
David Nowicki: University of North Texas

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 90, issue 1, No 4, 79-99

Abstract: Abstract Access to government funding is one of the most effective ways to enhance the resilience for small- and medium-sized enterprises (SME) community after a disaster. Along these lines, a major focus of SME resiliency research has been on examining factors needed to keep an SME open after a disaster. This makes sense as SMEs are critical to community recovery. It seems logical that the severity of a disaster would indicate the impact to a community. Using a systems thinking methodology, we developed a hypothesis that this correlation of severity to impact breaks down over time, causing the community to quickly spiral into trouble. This paper presents an agent-based model to test our hypothesis. The results indicate the impact to a community becomes much more extreme after a threshold or “tipping point” is crossed.

Keywords: Small–medium-sized enterprises; SME; Resilience; Community impact; Agent-based modeling; Casual loops (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11069-017-3034-9

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