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

Authored by Brian Sauser, Clifton Baldwin, Saba Pourreza, Wesley Randall, David Nowicki

Date Published: 2018

DOI: 10.1007/s11069-017-3034-9

Sponsors: No sponsors listed

Platforms: NetLogo

Model Documentation: ODD Flow charts

Model Code URLs: Model code not found

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.

Tags

Simulation Agent-based modeling Segregation Supply chain vulnerability resilience Consensus systems Earthquake Capacity Disaster Recovery Small-medium-sized enterprises Sme Community impact Casual loops