Resources collection strategy of emergency materials based on evolutionary game model in complex network
Abstract
Purpose
In recent years, the frequency of emergencies, such as natural disasters and public health crises, has markedly increased globally. These occurrences have introduced new challenges to national public security systems and emergency management capabilities. Post-disaster humanitarian logistic operations involve the collection of emergency relief resources to mitigate the impact of disasters in affected areas. Effective coordination among governments, enterprises and charities is essential to enhance the efficiency of these operations. This study employs evolutionary game theory to explore the strategic interactions and behavioral patterns among these key stakeholders during the collection of emergency materials.
Design/methodology/approach
A tripartite evolutionary game model involving governments, enterprises and charities is developed. Subsequently, to validate the theoretical findings, a scale-free network is constructed for the purpose of numerical simulations. As this network evolves, both the edges between nodes and the strategy choices of the nodes also change. Numerical simulations are conducted using the network to examine the sensitivity of factors influencing strategic choices among game stakeholders.
Findings
According to the model simulation results, penalties significantly influence government regulation strength, while enterprise philanthropic behavior is mainly affected by penalties, profit transfer benefits and trust loss. For charities, strategic choices are primarily driven by penalties, tax subsidies, illegal operation benefits and charitable costs. The findings provide a theoretical basis for governments, enterprises and charities to select the sensible strategy.
Originality/value
Our study establishes a dynamic network of edges and nodes evolving over time to analyze the strategic evolutionary paths of governments, enterprises and charities from a micro perspective. The results assist governments, enterprises and charities in making more strategic decisions.
Keywords
Acknowledgements
Funding: We extend our deepest gratitude for the support from the National Social Science Foundation Late Stage Grants of China (No. 21FGLB043), the National Natural Science Foundation of China (No. 72072105), the Teaching Reform Innovation Projects (No. J2021304, No. J20240769), the Postgraduate Education Reform Project (No. 2019JG131), and the Ministry of Education Philosophy and Social Science Research Late Stage Funding Program of China (No. 23JHQ093).
Citation
Guohua, Q. and Rudan, X. (2024), "Resources collection strategy of emergency materials based on evolutionary game model in complex network", Kybernetes, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/K-06-2024-1601
Publisher
:Emerald Publishing Limited
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