IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v58y2020i16p4851-4876.html
   My bibliography  Save this article

Risk analysis of the agri-food supply chain: A multi-method approach

Author

Listed:
  • Guoqing Zhao
  • Shaofeng Liu
  • Carmen Lopez
  • Huilan Chen
  • Haiyan Lu
  • Sachin Kumar Mangla
  • Sebastian Elgueta

Abstract

Agri-food supply chains (AFSCs) are becoming more complex in structure, and thus more susceptible to different vulnerabilities and risks. Therefore, to enhance performance, we need to manage the risks in AFSCs effectively and efficiently. This study analyses various AFSC risks using a multi-method approach, including thematic analysis, total interpretive structural modelling (TISM) and fuzzy cross-impact matrix multiplication applied to classification (MICMAC) analysis. Based on the empirical data collected from experienced AFSC practitioners and following thematic analysis, eight categories of risk and 16 risk factors were identified as important. Furthermore, the interrelationships among the identified risks were built using TISM. Finally, the identified risks were classified into various categories according to their dependence and driving power using fuzzy MICMAC analysis. The research results indicate that the weather-related and political risks have the highest driving power and are located at the lowest level in the TISM hierarchy. These risks have a high tendency to disturb the whole flow of AFSC and so should be managed effectively. This study advances existing literature on identifying risk factors, defining interrelations between different AFSC risks, and determining the key risks. The risk analysis results can help AFSC practitioners in AFSC to identify, categorise and analyse the risks.

Suggested Citation

  • Guoqing Zhao & Shaofeng Liu & Carmen Lopez & Huilan Chen & Haiyan Lu & Sachin Kumar Mangla & Sebastian Elgueta, 2020. "Risk analysis of the agri-food supply chain: A multi-method approach," International Journal of Production Research, Taylor & Francis Journals, vol. 58(16), pages 4851-4876, July.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:16:p:4851-4876
    DOI: 10.1080/00207543.2020.1725684
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2020.1725684
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2020.1725684?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Nurul Najihah Azalanzazllay & Sarina Abdul Halim Lim & Ungku Fatimah Ungku Zainal Abidin & Cherrafi Anass, 2022. "Uncovering Readiness Factors Influencing the Lean Six Sigma Pre-Implementation Phase in the Food Industry," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    2. Guoqing Zhao & Shaofeng Liu & Sebastian Elgueta & Juan Pablo Manzur & Carmen Lopez & Huilan Chen, 2022. "Knowledge Mobilization for Agri-Food Supply Chain Decisions: Identification of Knowledge Boundaries and Categorization of Boundary-Spanning Mechanisms," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 15(2), pages 1-25, December.
    3. Guoqing Zhao & Shaofeng Liu & Carmen Lopez & Yi Wang & Haiyan Lu & Jinhua Zhang, 2024. "Identification, establishment of connection, and clustering of social risks involved in the agri-food supply chains: a cross-country comparative study," Annals of Operations Research, Springer, vol. 338(2), pages 1241-1282, July.
    4. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    5. Olexandr Yemelyanov & Tetyana Petrushka & Lilia Lesyk & Anatolii Havryliak & Nataliya Yanevych & Oksana Kurylo & Volodymyr Bodakovskyy & Iryna Skoropad & Taras Danylovych & Kateryna Petrushka, 2023. "Assessing the Sustainability of the Consumption of Agricultural Products with Regard to a Possible Reduction in Its Imports: The Case of Countries That Import Corn and Wheat," Sustainability, MDPI, vol. 15(12), pages 1-29, June.
    6. Lina Baranauskaitė & Daiva Jurevičienė, 2021. "Import Risks of Agricultural Products in Foreign Trade," Economies, MDPI, vol. 9(3), pages 1-15, July.
    7. Yang, Manyi & Qu, Shaojian & Ji, Ying & Abdoulrahaman, Dabo, 2024. "Vulnerability of fresh agricultural products supply chain: Assessment, interrelationship analysis and control strategies," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    8. Zhitao Xu & Adel Elomri & Abdelfatteh El Omri & Laoucine Kerbache & Hui Liu, 2021. "The Compounded Effects of COVID-19 Pandemic and Desert Locust Outbreak on Food Security and Food Supply Chain," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    9. Soleman Imbiri & Raufdeen Rameezdeen & Nicholas Chileshe & Larissa Statsenko, 2021. "A Novel Taxonomy for Risks in Agribusiness Supply Chains: A Systematic Literature Review," Sustainability, MDPI, vol. 13(16), pages 1-24, August.
    10. Zhao, Guoqing & Xie, Xiaotian & Wang, Yi & Liu, Shaofeng & Jones, Paul & Lopez, Carmen, 2024. "Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    11. Talwar, Shalini & Kaur, Puneet & Yadav, Rambalak & Bilgihan, Anil & Dhir, Amandeep, 2021. "What drives diners' eco-friendly behaviour? The moderating role of planning routine," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    12. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.

    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:taf:tprsxx:v:58:y:2020:i:16:p:4851-4876. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.