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Supply chain risk propagation model considering the herd mentality mechanism and risk preference

Author

Listed:
  • Huo, Liang’an
  • Guo, Hongyuan
  • Cheng, Yingying

Abstract

With the intensification of competition among enterprises increasing and the improvement of the complexity of supply chain, the outbreak of supply chain risk has brought a great impact on the enterprise. Research on supply chain risk propagation can not only effectively improve the development of the enterprise, but also guarantee the whole supply chain operate stably Taking into account the different attitudes to enterprises at risk and the herd mechanism between enterprises, a new model is established, which focuses on research on the risk propagation mechanism of the supply chain of risk-seeking enterprises and risk-averse enterprises. Based on the mean-field theory, the threshold of supply chain risk and the scale of risk propagation can be obtained by numerical simulation which reveals that the degree of herd mechanism and risk preference will affect the propagation of supply chain risk. Therefore, the model can provide a good explanation of the risk preference and the influence of the herd mechanism on the supply chain risk, and further verify the feasibility of the model in the supply chain risks propagation problem.

Suggested Citation

  • Huo, Liang’an & Guo, Hongyuan & Cheng, Yingying, 2019. "Supply chain risk propagation model considering the herd mentality mechanism and risk preference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 529(C).
  • Handle: RePEc:eee:phsmap:v:529:y:2019:i:c:s0378437119308209
    DOI: 10.1016/j.physa.2019.121400
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    Cited by:

    1. Huo, Liang’an & Guo, Hongyuan & Cheng, Yingying & Xie, Xiaoxiao, 2020. "A new model for supply chain risk propagation considering herd mentality and risk preference under warning information on multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    2. Ping Yu & Peiwen Wang & Zhiping Wang & Jia Wang, 2022. "Supply Chain Risk Diffusion Model Considering Multi-Factor Influences under Hypernetwork Vision," Sustainability, MDPI, vol. 14(14), pages 1-15, July.

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