Designing a sustainable performance measurement system for an agri-food supply chain through supply chain agility based on digital technologies

Purpose: This research aims to identify and model metrics and sub-metrics that enhance sustainable performance measurement in agri-food supply chains. Design/methodology/approach: The study evaluates five key metrics and 18 sub-metrics critical to this industry, establishing interrelationships among them to ensure a successful sustainable performance measurement system. The decision-making trial and evaluation laboratory technique was employed, integrated with fuzzy theory and expert opinions. Findings: The findings suggest that metrics like information technology and organizational productivity, alongside the sub-metric of information integration, significantly contribute to sustainable supply chain performance. Originality/value: This study proposes a performance measurement system that enables organizations to achieve optimal performance levels through a sustainable supply chain (SCC) and supply chain agility (SCA) framework, supported by digital technologies.