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
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
The Concept of a Linguistic Variable and Its Application to Approximate Reasoning—I
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90036-5 · Cited by 12,187
The concept of a linguistic variable and its application to approximate reasoning-III
Zadeh, L. A. (1975) · Information Sciences · doi:10.1016/0020-0255(75)90017-1 · Cited by 12,139
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
Yager, R. R. (1988) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.87068 · Cited by 7,289
The global burden of pathogens and pests on major food crops
Savary, S., Willocquet, L., Pethybridge, S. J., Esker, P., McRoberts, N., & Nelson, A. (2019) · Nature Ecology & Evolution · doi:10.1038/s41559-018-0793-y · Cited by 4,309
Ivanov, D. (2020) · Transportation Research Part E: Logistics and Transportation Review · doi:10.1016/j.tre.2020.101922 · Cited by 2,280
Coronavirus disease (COVID-19) pandemic.
Rampal, L., & Liew, B. S. (2020) · PubMed · Cited by 2,116
Managing Disruption Risks in Supply Chains
Kleindorfer, P. R., & Saad, G. H. (2005) · Production and Operations Management · doi:10.1111/j.1937-5956.2005.tb00009.x · Cited by 2,088
A computational approach to fuzzy quantifiers in natural languages
Zadeh, L. A. (1983) · Computers & Mathematics with Applications · doi:10.1016/0898-1221(83)90013-5 · Cited by 1,828
Fuzzy logic and approximate reasoning: In memory of Grigore Moisil
Zadeh, L. A. (1975) · Synthese · doi:10.1007/bf00485052 · Cited by 1,617
Cited by
Rehman Khan, S. A., Yu, Z., Sarwat, S., Godil, D. I., Amin, S., & Shujaat, S. (2022) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2021.1872512 · Cited by 341
Chatterjee, S., Chaudhuri, R., Shah, M., & Maheshwari, P. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108058 · Cited by 159
Metadata
- Authors
- Sharma, R., Shishodia, A., Kamble, S., Gunasekaran, A., & Belhadi, A.
- Venue
- International Journal of Logistics Research and Applications
- Publisher
- Informa UK Limited
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.