Unlocking AI's potential in the food supply chain: a novel approach to overcoming barriers

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dc.contributor.authorGhag, Nikhil
dc.contributor.authorSonar, Harshad
dc.contributor.authorJagtap, Sandeep
dc.contributor.authorTrollman, Hana
dc.date.accessioned2024-08-29T14:57:11Z
dc.date.available2024-08-29T14:57:11Z
dc.date.freetoread2024-08-29
dc.date.issued2024-12-31
dc.date.pubOnline2024-08-09
dc.description.abstractThis paper delves into the challenges impeding the seamless integration of artificial intelligence (AI) within the food supply chain (FSC) and introduces a novel methodological framework that combines the NK Model with the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. Through an exhaustive literature analysis and expert discussions, the research identifies and categorizes significant obstacles to AI deployment in the FSC. These hurdles include the imperative for a skilled labor force, financial limits, regulatory complexity and technological limitations. The unique DEMATEL-NK approach highlights the interconnected nature of these barriers, pinpointing the most critical impediments. The study's implications extend to the broader domains of AI adoption in agriculture and the food industry, offering a nuanced perspective for policymakers, industry stakeholders, and researchers. The findings underscore the imperative of overcoming these barriers for the successful implementation of AI technologies in the FSC, promising advancements in efficiency, quality, and sustainability. The innovative methodology not only sheds light on the interconnectedness of these barriers but also provides a systematic approach for prioritizing and implementing solutions. This research offers a fresh viewpoint on barrier relationships, guiding decision-makers in crafting effective strategies and interventions to propel AI integration in the FSC forward.
dc.description.journalNameJournal of Agriculture and Food Research
dc.identifier.citationGhag N, Sonar H, Jagtap S, Trollman H. (2024) Unlocking AI's potential in the food supply chain: a novel approach to overcoming barriers. Journal of Agriculture and Food Research, Volume 18, December 2024, Article number 101349
dc.identifier.eissn2666-1543
dc.identifier.elementsID551738
dc.identifier.issn2666-1543
dc.identifier.paperNo101349
dc.identifier.urihttps://doi.org/10.1016/j.jafr.2024.101349
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22850
dc.identifier.volumeNo18
dc.languageEnglish
dc.language.isoen
dc.publisherElsevier
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S2666154324003867
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject46 Information and Computing Sciences
dc.subject4609 Information Systems
dc.subject2 Zero Hunger
dc.subjectArtificial intelligence
dc.subjectFood supply chain
dc.subjectSustainability
dc.subjectDEMATEL-NK
dc.subjectDecision making
dc.titleUnlocking AI's potential in the food supply chain: a novel approach to overcoming barriers
dc.typeArticle
dc.type.subtypeJournal Article
dcterms.dateAccepted2024-08-07

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