Resilience of small- and medium-sized enterprises as a correlation to community impact: an agent-based modeling approach |
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Authors: | Brian Sauser Clifton Baldwin Saba Pourreza Wesley Randall David Nowicki |
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Institution: | 1.Jim McNatt Institute for Logistics Research,University of North Texas,Denton,USA;2.School of Business,Stockton University,Galloway,USA;3.Cameron School of Business,University of North Carolina-Wilmington,Wilmington,USA |
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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. |
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