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Research on the Resilient Evolutionary Game of Logistics Service Supply Chain with Government Participation

Author

Listed:
  • Guangsheng Zhang

    (College of Business Administration, Shandong Management University, Jinan 250357, China)

  • Xiao Wang

    (International Business School Suzhou, Xi’an Jiaotong-Liverpool University, Suzhou 215123, China)

  • Yanling Wang

    (College of Business Administration, Shandong Management University, Jinan 250357, China)

  • Jiayun Kang

    (Department of Computer Science, University of Liverpool, Liverpool L69 3BX, UK)

Abstract

The resilient strategy of logistics service supply chains with government participation is not only an effective measure for manufacturers and integrators to lower the risks but also an important component of the modern risk management capability of government. From the perspective of risk society, this paper presupposes the existence of emergencies, embeds the “resilient ability” into the logistics service supply chain, establishes a tripartite evolutionary game model among the government, manufacturers, and integrators, and systematically analyzes the strategy selection process under the participation of the government. On this basis, through numerical experiments, this paper examines the supervision sensitivity with different policies on a micro level, investigates the impact incurred by the change in governmental reward and punishment degree, and further complements the research on the complexity of the strategy selection process in reality. The results show that in the short run, regardless of the reward and punishment measure the government chooses, the manufacturers and integrators will choose not to adopt and implement the resilient supply chain strategy, while, in the long run, increasing manufacturers’ initial supervision and implementing relevant reward and punishment measures can guide integrators to choose the strategy. Increasing government integrators’ reward degree and reducing costs can thus promote the enthusiasm of integrators in resilient logistics service supply chains.

Suggested Citation

  • Guangsheng Zhang & Xiao Wang & Yanling Wang & Jiayun Kang, 2022. "Research on the Resilient Evolutionary Game of Logistics Service Supply Chain with Government Participation," Mathematics, MDPI, vol. 10(4), pages 1-18, February.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:4:p:630-:d:752455
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    References listed on IDEAS

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    Cited by:

    1. Jiguang Wang & Yushang Hu & Weihua Qu & Liuxin Ma, 2022. "Research on Emergency Supply Chain Collaboration Based on Tripartite Evolutionary Game," Sustainability, MDPI, vol. 14(19), pages 1-25, September.
    2. Vukašin Pajić & Milorad Kilibarda & Milan Andrejić, 2023. "A Novel Hybrid Approach for Evaluation of Resilient 4PL Provider for E-Commerce," Mathematics, MDPI, vol. 11(3), pages 1-26, January.
    3. Wenbin Wang & Jie Guan & Mengxin Zhang & Jinyu Qi & Jia Lv & Guoliang Huang, 2022. "Reward-Penalty Mechanism or Subsidy Mechanism: A Closed-Loop Supply Chain Perspective," Mathematics, MDPI, vol. 10(12), pages 1-22, June.
    4. Feixiao Wang & Yaoqun Xu, 2022. "Evolutionary Game Analysis of the Quality of Agricultural Products in Supply Chain," Agriculture, MDPI, vol. 12(10), pages 1-16, September.
    5. Guangsheng Zhang & Xiao Wang & Yu Zhang & Jiayun Kang, 2022. "Research on the Emission Reduction Decision of Cost-Sharing Logistics Service Supply Chain in the O2O Model," Sustainability, MDPI, vol. 14(20), pages 1-21, October.

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