Modelling the drivers and barriers of the dry fish supply chain traceability for micro and small enterprises in India: an ISM and MICMAC approach

The adoption food traceability system in dry fish supply chain deserves attention. For implementing a food traceability system, it is essential to identify the variables and analyse their inter-relationships that impact its adoption. This research aims to model the major drivers and barriers and their interrelationships in the dry fish supply chain in India's micro and small enterprises (MSEs) using interpretive structural modelling (ISM) and Matrices d'Impacts Croises Multiplication Appliqué a un Classement (MICMAC) analysis. Data were collected from 226 stakeholders of dry fish supply chain through a cross-sectional survey (both online and offline) located in Kerala and Tamil Nadu, two major maritime states of India. The finding shows that quality and safety concerns are the most critical drivers in implementing the traceability system. The government's lack of support, high cost of traceability system, absence of unified standards, limited awareness and lack of a coordinator are identified as significant barriers.