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Cited by 348

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

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

Sharma, Rohit, Shishodia, Anjali, Kamble, Sachin, Gunasekaran, Angappa, Belhadi, Amine·2024·International Journal of Logistics Research and Applications

Abstract

The 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.

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Metadata

Authors
Sharma, R., Shishodia, A., Kamble, S., Gunasekaran, A., & Belhadi, A.
Venue
International Journal of Logistics Research and Applications
Published
2020-10-08
Volume
27
Issue
11
Pages
2351-2377
ISSN
  • 1367-5567 (ISSN-L)
  • 1469-848X
OpenAlex
W3092386655
Cited by
348
References
90
FWCI
66.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Agriculture supply chain risks and COVID-19: mitigation strategies and implications for the practitioners. https://app.cochat.ai/papers/10.1080/13675567.2020.1830049
The paper
Sharma, 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. https://doi.org/10.1080/13675567.2020.1830049

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.