Towards a Transparent and Efficient Agri-food Supply Chain: Unleashing
the Potential of Blockchain Technology
Abstract
The Agri-food Supply Chain (AFSC) encounters numerous challenges that
impact its efficiency, sustainability, and overall performance. In
addition, the growing recognition of risks to human life, agri-food loss
and wastage resulting from the mishandling of agricultural products
serves as a driving force for achieving sustainability across the entire
supply chain. However, the nascent Blockchain Technology (BT) is
believed to establish a more robust, transparent, sustainable and
streamlined AFSC, offering advantages to all participants, ranging from
farmers to consumers. This research aims to identify and categorize
factors that contribute to the adoption of Blockchain Technology (BT),
offering a comprehensive methodology for modelling and evaluating the
recognized blockchain enablers. Fuzzy Total Interpretive Structural
Modeling (F-TISM) is employed to gain an intricate understanding of the
interrelationships among the blockchain enablers. Furthermore, Fuzzy
Matriced’s Impacts Croisés Multiplication Appliquée à un Classement
(F-MICMAC) is employed to assess the mutual influences and interactions
among the enablers. The application of Fuzzy TISM-MICMAC contributes not
only in theoretical advancements in blockchain adoption but also
provides valuable practical insights for stakeholders in the agri-food
industry, policymakers, and technology developers.