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Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments

Author

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  • Shuna Wang

    (Logistics Research Center, Shanghai Maritime University, Shanghai 200135, China
    School of Business, Heze University, Heze 274015, China)

  • Zhi-Hua Hu

    (Logistics Research Center, Shanghai Maritime University, Shanghai 200135, China)

Abstract

The increasing pressures from environmental crises are responsible for the green and sustainable choices made in supply chain management. Green logistics service supply chain ( LSSC ) operations play a significant role in reducing the environmental burden of the supply chain, and the risk preferences of logistics enterprises lead to more uncertainties in the green management of LSSC . Much research has been limited to case studies of green LSSC , and the different combinations of risk preferences among LSSC participants have generally been ignored. This paper investigates the impact of the risk preference on the equilibrium behavior of an LSSC composed of one logistics service integrator ( LSI ) and one logistics service provider ( LSP ) under fuzzy decision environments. Considering the fact that the greening innovation cost and the parameters of the demand function are all characterized as fuzzy variables, the games between the LSI and LSP with different risk preferences were comprehensively proposed under three scenarios. Then, the optimal decisions of the LSP and LSI were drawn, and numerical examples are presented. The results show that an optimistic risk attitude can appropriately improve the greening level, price, and green innovation cost of logistics services, while both risk appetite and risk aversion can lead to an increase in the outsourcing price. Moreover, when the decision maker is risk neutral, the partner’s risk attitude has a significant effect on the value of the decision variables and the cost. Finally, the optimal profits of different risk preference behaviors between the LSI and LSP vary among the game models under fuzzy environments. Subsequently, we obtained three management insights. Total involvement and cooperation among participants were vital factors for an improvement in green management in the LSSC . Additionally, risk preference plays a key role in how LSSC participants make decisions under fuzzy environments. Additionally, a dominant position in the LSSC plays a crucial role in generating profit.

Suggested Citation

  • Shuna Wang & Zhi-Hua Hu, 2021. "Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments," Sustainability, MDPI, vol. 13(14), pages 1-32, July.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8024-:d:596685
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    References listed on IDEAS

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    1. Liu, Xiaotong & Zhang, Kai & Chen, Bokui & Zhou, Jun & Miao, Lixin, 2018. "Analysis of logistics service supply chain for the One Belt and One Road initiative of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 23-39.
    2. Liu, Weihua & Wang, Yijia, 2015. "Quality control game model in logistics service supply chain based on different combinations of risk attitude," International Journal of Production Economics, Elsevier, vol. 161(C), pages 181-191.
    3. Liu, Weihua & Wang, Qian & Mao, Qiaomei & Wang, Shuqing & Zhu, Donglei, 2015. "A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 189-215.
    4. Shenle Pan & Ray Zhong & Ting Qu, 2019. "Smart product-service systems in interoperable logistics: Design and implementation prospects," Post-Print hal-02316272, HAL.
    5. Huang, Shuai & Fan, Zhi-Ping & Wang, Ningning, 2020. "Green subsidy modes and pricing strategy in a capital-constrained supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    6. Liu, Weihua & Wang, Di & Shen, Xinran & Yan, Xiaoyu & Wei, Wanying, 2018. "The impacts of distributional and peer-induced fairness concerns on the decision-making of order allocation in logistics service supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 102-122.
    7. Lau, Amy Hing Ling & Lau, Hon-Shiang, 2005. "Some two-echelon supply-chain games: Improving from deterministic-symmetric-information to stochastic-asymmetric-information models," European Journal of Operational Research, Elsevier, vol. 161(1), pages 203-223, February.
    8. Dou, Yijie & Zhu, Qinghua & Sarkis, Joseph, 2014. "Evaluating green supplier development programs with a grey-analytical network process-based methodology," European Journal of Operational Research, Elsevier, vol. 233(2), pages 420-431.
    9. Hu, Xiaojian & Wang, Guanxiong & Li, Xiaozheng & Zhang, Yue & Feng, Shuai & Yang, Aifeng, 2018. "Joint decision model of supplier selection and order allocation for the mass customization of logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 120(C), pages 76-95.
    10. Zhu, Qinghua & Sarkis, Joseph & Lai, Kee-hung, 2008. "Confirmation of a measurement model for green supply chain management practices implementation," International Journal of Production Economics, Elsevier, vol. 111(2), pages 261-273, February.
    11. Rebecca S. Widrick & Sarah G. Nurre & Matthew J. Robbins, 2018. "Optimal Policies for the Management of an Electric Vehicle Battery Swap Station," Transportation Science, INFORMS, vol. 52(1), pages 59-79, January.
    12. Kostas Bimpikis & Ozan Candogan & Shayan Ehsani, 2019. "Supply Disruptions and Optimal Network Structures," Management Science, INFORMS, vol. 65(12), pages 5504-5517, December.
    13. Frank Schneider & Ulrich W. Thonemann & Diego Klabjan, 2018. "Optimization of Battery Charging and Purchasing at Electric Vehicle Battery Swap Stations," Transportation Science, INFORMS, vol. 52(5), pages 1211-1234, October.
    14. Yingjie Ju & Yue Wang & Ye Cheng & Jun Jia, 2019. "Investigating the Impact Factors of the Logistics Service Supply Chain for Sustainable Performance: Focused on Integrators," Sustainability, MDPI, vol. 11(2), pages 1-16, January.
    15. Süleyman Demirel & Roman Kapuscinski & Man Yu, 2018. "Strategic Behavior of Suppliers in the Face of Production Disruptions," Management Science, INFORMS, vol. 64(2), pages 533-551, February.
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    4. Xu Xu & Chan He, 2022. "The Effects of Network Structure Attributes on Growth Performance of Logistics Service Integrators in Logistics Service Supply Chain: Empirical Evidence," Sustainability, MDPI, vol. 14(24), pages 1-18, December.

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