Critical success factors influencing artificial intelligence adoption in food supply chains

The adoption of Artificial Intelligence (AI) in the food supply chains (FSC) can address unique challenges safety, quality and wastage by improving transparency traceability. However, technology literature FSC is still infancy stage, meaning little known about critical success factors (CSFs) that could affect AI FSC. Therefore, this study makes a pioneering attempt examining CSFs influencing Food Supply Chain (FSC). A conceptual framework based on TOEH (Technology–Organisation–Environment–Human) theory used to determine context Indian rough-SWARA technique was rank prioritise for using relative importance weights. results indicate readiness, security, privacy, customer satisfaction, perceived benefits, demand volatility, regulatory compliance, competitor pressure information sharing among partners are most significant adopting findings would be useful providers, chain specialists government agencies framing appropriate policies foster sector.