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Risk Aversion of B2C Cross-Border e-Commerce Supply Chain

Author

Listed:
  • Li Zhou

    (School of Information, Beijing Wuzi University, Beijing 101149, China)

  • Jingjing Wang

    (School of Information, Beijing Wuzi University, Beijing 101149, China)

  • Feng Li

    (School of Information, Beijing Wuzi University, Beijing 101149, China)

  • Yan Xu

    (School of Economics and Management, Xidian University, Xi’an 710126, China)

  • Jie Zhao

    (School of Information, Beijing Wuzi University, Beijing 101149, China)

  • Jiafu Su

    (School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing 402160, China
    International College, Krirk University, Bangkok 10220, Thailand
    National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China)

Abstract

In recent years, with the booming development of the B2C cross-border e-commerce industry, the supply chain of B2C cross-border e-commerce faces many potential risk factors, which must be prevented. To solve this problem, this paper studies the supply chain risk factors of B2C cross-border e-commerce and puts forward avoidance strategies. First, the fitness network model of a dual local world is constructed by combining the fitness model with the local world model. Then, the fitness network model of the dual local world is verified by the risk dynamics simulation model to fit the actual network situation. On this basis, the SIRS virus transmission model is constructed to simulate the risk transmission of the B2C cross-border e-commerce supply chain, and the evaluation index system of the supply chain risk immunity ability and external risk intensity are established according to the supply chain risk immunity ability and external risk intensity. AHP is used to calculate the factors that have the greatest influence on supply chain risk immunity and external risk intensity. The results show that: from the point of view of the enterprise’s own risk immunity, it is more necessary to ensure the stability of the company’s capital and to establish a perfect risk monitoring and coping mechanism to avoid risks. From the perspective of enterprise external risk intensity, the risk should be avoided from two aspects of transaction security and logistics.

Suggested Citation

  • Li Zhou & Jingjing Wang & Feng Li & Yan Xu & Jie Zhao & Jiafu Su, 2022. "Risk Aversion of B2C Cross-Border e-Commerce Supply Chain," Sustainability, MDPI, vol. 14(13), pages 1-22, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8088-:d:854171
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    References listed on IDEAS

    as
    1. Li, Yuhong & Zobel, Christopher W., 2020. "Exploring supply chain network resilience in the presence of the ripple effect," International Journal of Production Economics, Elsevier, vol. 228(C).
    2. Arash Sepehri & Umakanta Mishra & Ming-Lang Tseng & Biswajit Sarkar, 2021. "Joint Pricing and Inventory Model for Deteriorating Items with Maximum Lifetime and Controllable Carbon Emissions under Permissible Delay in Payments," Mathematics, MDPI, vol. 9(5), pages 1-27, February.
    3. M. B. Fakhrzad & Mohammad Reza Firozpour & Hasan Hosseini Nasab, 2021. "Comparing Supply Chain Risks Ranking in Multi-Attribute Decision-Making Methods Using the Proposed Three-Dimensional Integration Mean Method," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 38(06), pages 1-22, December.
    4. Sirish Kumar Gouda & Haritha Saranga, 2018. "Sustainable supply chains for supply chain sustainability: impact of sustainability efforts on supply chain risk," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5820-5835, September.
    5. Mohammad Ali Beheshtinia & Parisa Feizollahy & Masood Fathi, 2021. "Supply Chain Optimization Considering Sustainability Aspects," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
    6. Li, Yuhong & Zobel, Christopher W. & Seref, Onur & Chatfield, Dean, 2020. "Network characteristics and supply chain resilience under conditions of risk propagation," International Journal of Production Economics, Elsevier, vol. 223(C).
    7. Arim Park & Huan Li, 2021. "The Effect of Blockchain Technology on Supply Chain Sustainability Performances," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    8. Madhukar Chhimwal & Saurabh Agrawal & Girish Kumar, 2021. "Measuring Circular Supply Chain Risk: A Bayesian Network Methodology," Sustainability, MDPI, vol. 13(15), pages 1-22, July.
    9. He, Peng & He, Yong & Xu, Henry, 2019. "Channel structure and pricing in a dual-channel closed-loop supply chain with government subsidy," International Journal of Production Economics, Elsevier, vol. 213(C), pages 108-123.
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