Big data in the food supply chain: a literature review

作者：Abderahman Rejeb, John G. Keogh, Karim Rejeb · 发表于：Journal of Data Information and Management · 年份：2022 · DOI：10.1007/s42488-021-00064-0 · 被引用次数：94 · 研究领域：Food Supply Chain Traceability、Food Waste Reduction and Sustainability、Big Data and Business Intelligence

Abstract The emergence of big data (BD) offers new opportunities for food businesses to address emerging risks and operational challenges. BD denotes the integration and analysis of multiple data sets, which are inherently complex, voluminous and are often of inadequate quality and structure. While BD is a well-established method in supply chain management, academic research on its application in the food ecosystem is still lagging. To fill this knowledge gap and capture the latest developments in this field, a systematic literature review was performed. Forty-one papers were selected and thoroughly examined and analysed to identify the enablers of BD in the food supply chain. The review primarily attempted to obtain an answer to the following research question: “What are the possibilities of leveraging big data in the food supply chain?“ Six significant benefits of applying BD in the food industry were identified, namely, the extraction of valuable knowledge and insights, decision-making support, improvement of food chain efficiencies, reliable forecasting, waste minimization, and food safety. Finally, some challenges and future research directions were outlined.