Analysis of barriers for sustainable agro-food supply chain: an interpretive structural modeling and MICMAC approach

This research endeavored to provide an analysis of the barriers related to the agri-food supply chain in the context of the Indian agro-industry. The methodology used is based on an Interpretive Structural Modeling with a Matrix of Cross Impacts-Multiplication Applied to a Classification (MICMAC) technique. There is a need for specificity in defining Agro-food supply chain barriers before they can be eliminated. Therefore, the goal of this study is to look at the factors which are emerging as constraints to the growth of the agri-food supply chain. The findings show that transparency and traceability, inadequate infrastructure, difficulty in implementing government schemes, and inadequate risk management measures constitute important barriers to agri-food supply chains. This study provides an understanding of supply-chain barriers related to the agro-food industry. Managers/owners of agricultural enterprises can use the findings of this study to more easily identify the prominent barriers which affect agri-food supply chains. Furthermore, this study can be used as a guide to deal with the supply chain problems facing agri-enterprises in the face of high demand for agri-products.

Automated summary

This research analyzed the barriers in the agri-food supply chain in the Indian agro-industry using Interpretive Structural Modeling and MICMAC technique. The study aimed to identify the factors hindering the growth of the supply chain. The findings revealed that transparency and traceability, inadequate infrastructure, difficulty in implementing government schemes, and inadequate risk management measures are major barriers.