The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain

Weizhong Wang, Yu Chen, Tinglong Zhang, Muhammet Deveci and Seifedine Kadry

Structural Change and Economic Dynamics, 2024, vol. 70, issue C, 544-566

Abstract: Despite the fact that artificial intelligence (AI) techniques are increasingly influencing economic and societal dynamics, certain aspects of AI's role in structural change, such as enhancing the resilience of supply chains, have not been thoroughly explored in academic research. Thus, we first identify thirteen variables that are influential in shaping the structural transformation of food supply chains. These variables are chosen based on the financial, technological, social, and organizational challenges to building resilience within the food supply chain. Then, we generate an interval-valued T-spherical fuzzy Combined Compromise Solution (CoCoSo)'B model to uncover the role of AI in the supply chain dynamics and structural change of the food sector. After that, we explore the role of AI in alleviating the factors in building resilience within the food supply chain through the generated decision model and expert interview. The result also reveals that the AI advantageAd2“Enhancing information sharing among nodes” (1.983) has the most potential to influence organizational adoption behavior. The outcomes of the present study can provide a new decision-support technique for uncovering the effects of AI on supply chain dynamics and structural change in the food sector.

Keywords: Food security; Resilient supply chain; AI; Interval-valued T-spherical fuzzy set; CoCoSo'B model (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:streco:v:70:y:2024:i:c:p:544-566

DOI: 10.1016/j.strueco.2024.05.010

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