Research on the Resilient Evolutionary Game of Logistics Service Supply Chain with Government Participation
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Cited by:
- 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.
- 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.
- 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.
- 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.
- 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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Keywords
logistics service supply chains; governmental reward and punishment; evolutionary game; resilient ability;All these keywords.
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