IDEAS home Printed from https://ideas.repec.org/a/igg/jisscm/v14y2021i3p18-38.html
   My bibliography  Save this article

Risk Propagation Mechanism Research Based on SITR Model of Complex Supply Networks

Author

Listed:
  • Jianjun Zhu

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, China)

  • Yamin Cheng

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, China)

  • Yuhuai Zhang

    (College of Economics and Management, Nanjing University of Aeronautics and Astronautics, China)

Abstract

Supply chain risk management is an important topic in supply chain management. The authors investigate the rules and characteristics of risk propagation in complex supply networks. Aiming at the characteristics of complex supply chain with complex structure and large risk consequences, considering the different impact capabilities and different anti-risk capabilities of each enterprise node, this paper proposes a SITR (susceptible-infected-temporarily removed-completely removed) risk propagation model based on weighted networks. After the dynamic analysis of the proposed model, numerical simulation is performed, and a supply chain risk control strategy is proposed according to the simulation results. The research shows that the enterprise's complete recovery rate and risk infection rate have a greater impact on the risk propagation in the supply chain network. Enterprises should increase their awareness of risk management and control, improve their complete recovery rate, and reduce their risk of infection.

Suggested Citation

  • Jianjun Zhu & Yamin Cheng & Yuhuai Zhang, 2021. "Risk Propagation Mechanism Research Based on SITR Model of Complex Supply Networks," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 14(3), pages 18-38, July.
    • Handle: RePEc:igg:jisscm:v:14:y:2021:i:3:p:18-38
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSCM.2021070102
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jisscm:v:14:y:2021:i:3:p:18-38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.