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Critical success factors influencing artificial intelligence adoption in food supply chains
journal contribution
posted on 2023-09-06, 08:56 authored by Manoj Dora, Ashwani Kumar, Sachin Kumar Mangla, Abhay Pant, Muhammad Mustafa KamalThe adoption of Artificial Intelligence (AI) in the food supply chains (FSC) can address unique challenges of food safety, quality and wastage by improving transparency and traceability. However, the technology adoption literature in FSC is still the in infancy stage, meaning little is known about the critical success factors (CSFs) that could affect the adoption of AI in FSC. Therefore, this study makes a pioneering attempt by examining the CSFs influencing the adoption of AI in the Food Supply Chain (FSC). A conceptual framework based on TOEH (Technology–Organisation–Environment–Human) theory is used to determine the CSFs influencing AI adoption in the context of Indian FSC. The rough-SWARA technique was used to rank and prioritise the CSFs for AI adoption using the relative importance weights. The results of the study indicate that technology readiness, security, privacy, customer satisfaction, perceived benefits, demand volatility, regulatory compliance, competitor pressure and information sharing among partners are the most significant CSFs for adopting AI in FSC. The findings of the study would be useful for AI technology providers, supply chain specialists and government agencies in framing appropriate policies to foster the adoption of AI in FSC the sector.
History
Refereed
- Yes
Volume
60Issue number
14Page range
4621-4640Publication title
International Journal of Production ResearchISSN
0020-7543External DOI
Publisher
Informa UK LimitedFile version
- Accepted version
Language
- eng
Item sub-type
Journal ArticleOfficial URL
Affiliated with
- School of Management Outputs
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Categories
Keywords
Science & TechnologyTechnologyEngineering, IndustrialEngineering, ManufacturingOperations Research & Management ScienceEngineeringFood supply chaincritical success factorsArtificial intelligencesustainabilityTOEH (Technology-Organisation-Environment-Human)rough theoryCLOUD COMPUTING ADOPTIONBIG DATA ANALYTICSTECHNOLOGY ADOPTIONMANAGEMENTFRAMEWORKSYSTEMTRACEABILITYLOGISTICSDESIGNIMPLEMENTATIONOperations Research