Modeling of Critical Food Supply Chain Drivers Using DEMATEL Method and Blockchain Technology

Abstract

The main purpose of this paper is to identify the critical drivers of the food supply chain (FSC) in the Indian context and find cause–effect relationships among the identified drivers using a decision-making trial and evaluation laboratory (DEMATEL)-based method. After a review of the literature and discussion with food chain experts, fourteen drivers have been identified for this study. Critical drivers and their causal relationships are explored through the cause-and-effect diagram. Results of this study show that the drivers namely “Shift towards a sustainable food system in India” (D7), “Social requirements on food security and safety” (D13), and “Growing attention towards food SCM amidst pandemic Covid-19” (D1) are the top three critical and influential drivers. It has been observed that limited research studies are done to identify and analyze the FSC drivers specific in the Indian context. Recent advancements in Blockchain technology have paved the path for improving the performance of the food supply chain with appropriate Blockchain technology intervention. Blockchain technology (BT) can be a new driver in the FSCM. This paper proposes a conceptual framework for the implementation of Blockchain technology in the food supply chain. This paper attempts to draw the attention of policymakers to develop a new sound policy with the help of Blockchain technology to ensure food security.