IDEAS home Printed from https://ideas.repec.org/a/bdz/frmans/v2y2023i5p50-57.html

Effective Risk Assessment and Management with IoT in Supply Chains

Author

Listed:
  • Yunjiang Sun

    (Zhengzhou University, China)

  • Anjie Ma

    (Zhengzhou University, China)

  • Xuefu Cui

    (Zhengzhou University, China)

  • Yu Gu

    (Zhengzhou University, China)

Abstract

Supply chain risk management is a critical area in today’s globalized economy, and with the development of Internet of Things (IoT) technology, revolutionary changes are taking place in risk assessment and management methods. This paper aims to explore effective risk assessment and management with IoT in supply chains in China, emphasizing the crucial role of IoT technology in real-time data collection, predictive analytics, and traceability. We delve into the limitations of traditional risk assessment methods and how IoT enhances supply chain visibility and transparency. Furthermore, we speculate on the future applications of IoT technology in risk management, including autonomous vehicles, smart packaging, and supply chain simulations. This paper also focuses on the convergence of IoT with emerging technologies and the role of government and industry in shaping IoT adoption in supply chain risk management. Through this paper, we encourage organizations to harness IoT technology to enhance supply chain resilience and mitigate potential risks.

Suggested Citation

  • Yunjiang Sun & Anjie Ma & Xuefu Cui & Yu Gu, 2023. "Effective Risk Assessment and Management with IoT in Supply Chains," Frontiers in Management Science, Paradigm Academic Press, vol. 2(5), pages 50-57, October.
    • Handle: RePEc:bdz:frmans:v:2:y:2023:i:5:p:50-57
    DOI: 10.56397/FMS.2023.10.07
    as

    Download full text from publisher

    File URL: https://www.paradigmpress.org/fms/article/view/835/714
    Download Restriction: no
    File URL: https://libkey.io/10.56397/FMS.2023.10.07?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
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:bdz:frmans:v:2:y:2023:i:5:p:50-57. 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: Editorial Office (email available below). General contact details of provider: https://www.paradigmpress.org/ .

    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.