Agriculture supply chain risks and COVID-19: mitigation strategies and implications for the practitioners

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dc.contributor.authorSharma, Rohit
dc.contributor.authorShishodia, Anjali
dc.contributor.authorKamble, Sachin
dc.contributor.authorGunasekaran, Angappa
dc.contributor.authorBelhadi, Amin
dc.date.accessioned2025-12-05T06:51:30Z
dc.date.available2025-12-05T06:51:30Z
dc.date.issued2020-10
dc.descriptionCOVID-19 has severely impacted all countries in the world1 and has caused several supply chain disruptions globally (Ivanov 2020; Choi 2020; Govindan, Mina, and Alavi 2020). The current pandemic COVID-19 has inflicted an economic shock across so drastic that it has been compared with the Great Depression of the 1930s as more than 170 countries will experience a negative per capita GDP growth (IMF 2020).2 In the recent past, the world has already witnessed many such epidemics such as Spanish Flu, SARS (Severe Acute Respiratory Syndrome), MERS (Middle East Respiratory Syndrome), and Ebola outbreak in 2013. All these outbreaks separately have been severe episodes. However, the COVID-19 pandemic, which originated in Wuhan, China, in December 2019, is turning out to be the fatal health crisis in our history. Amid this pandemic, while writing this piece, there have been 17,660,523 confirmed cases of COVID-19, including 680,894 deaths, reported to WHO (WHO 2020).
dc.description.abstractThe agricultural supply chains (ASCs) are exposed to unprecedented risks following COVID-19. It is necessary to investigate the impact of risks and to create resilient ASC organisations. In this study, we have identified and assessed the ASC risks caused by disruptions. These threats were assessed using Fuzzy Linguistic Quantifier Order Weighted Aggregation (FLQ-OWA). The findings reveal that supply risks, demand risks, financial risks, logistics and infrastructure risks, management and operational, policy and regulation, and biological and environmental risks have a significant impact in ASC depending upon the organisations scope and scale. Various strategies such as adoption of industry 4.0 technologies, supply chain collaboration and shared responsibility is identified for sustainable future. Theoretical and managerial implications are provided based on the outcomes of the study. Keywords Industry 4.0, Industry 4.0 barriers, Industry 4.0 adoption, Interpretive structural modeling, Fuzzy MICMAC
dc.identifier.citationSharma, R., Shishodia, A., Kamble, S., Gunasekaran, A., & Belhadi, A. (2024). Agriculture supply chain risks and COVID-19: mitigation strategies and implications for the practitioners. International Journal of Logistics Research and Applications, 27(11), 2351-2377.
dc.identifier.doihttps://doi.org/10.1080/13675567.2020.1830049
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/7833
dc.language.isoen
dc.publisherTaylor & Francis
dc.titleAgriculture supply chain risks and COVID-19: mitigation strategies and implications for the practitioners
dc.typeArticle

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