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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Brian Sauser & Clifton Baldwin & Saba Pourreza & Wesley Randall & David Nowicki, 2018. "Resilience of small- and medium-sized enterprises as a correlation to community impact: an agent-based modeling approach," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 79-99, January.
    • Handle: RePEc:spr:nathaz:v:90:y:2018:i:1:d:10.1007_s11069-017-3034-9
    DOI: 10.1007/s11069-017-3034-9
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    Cited by:

    1. Ferenc Tolner & Balázs Barta & György Eigner, 2024. "Reaction to Idiosyncratic Economic Shocks—Economic Resilience of Small- and Medium-Sized Enterprises," Sustainability, MDPI, vol. 16(13), pages 1-19, June.
    2. Hu, Jinqiu & Khan, Faisal & Zhang, Laibin, 2021. "Dynamic resilience assessment of the Marine LNG offloading system," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    3. Eduardo Landaeta & Jesse Richman, 2023. "A Model of Build Back Better Utilization: Long-Term Recovery Groups and Post-Disaster Housing Recovery," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    4. Maddah, Negin & Heydari, Babak, 2024. "Building back better: Modeling decentralized recovery in sociotechnical systems using strategic network dynamics," Reliability Engineering and System Safety, Elsevier, vol. 246(C).

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