IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5906901.html
   My bibliography  Save this article

Research on Risk Diffusion Mechanism of Logistics Service Supply Chain in Urgent Scenarios

Author

Listed:
  • Guangsheng ZHANG
  • Xiao WANG
  • Zhijun GAO
  • Tianyu XIANG

Abstract

Although there are some studies on the risk management of logistics service supply chain (LSSC), we still know little about the effects of risk evolution and interactional mechanism of subjects in different urgent scenarios of logistics service supply chain from a micro perspective. Based on the structures of the LSSC, this study thus analyzed the risk evolution and the main actors’ reactions in the LSSC, including categorizing the urgent scenarios, analyzing their impacts on the diffusion intensity of pricing, profit and demand, and verifying the models’ validity with the numerical analysis. The results indicate divergent impacts of the different urgent scenarios on the logistics service supply chain: the price fluctuation can cause similar profit declines of the supplier and integrator, the reduced capacity can cause the supply chain’s price increase by 50%, and the demand risks can lead to similar changes of the upstream orders, prices and profits. The findings may provide clues for firms to develop effective countermeasures against the risks.

Suggested Citation

  • Guangsheng ZHANG & Xiao WANG & Zhijun GAO & Tianyu XIANG, 2020. "Research on Risk Diffusion Mechanism of Logistics Service Supply Chain in Urgent Scenarios," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-12, February.
  • Handle: RePEc:hin:jnlmpe:5906901
    DOI: 10.1155/2020/5906901
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/5906901.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2020/5906901.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/5906901?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Guangsheng Zhang & Xiao Wang & Yanling Wang & Jiayun Kang, 2022. "Research on the Resilient Evolutionary Game of Logistics Service Supply Chain with Government Participation," Mathematics, MDPI, vol. 10(4), pages 1-18, February.
    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.

    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:hin:jnlmpe:5906901. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.