Edgar Ramos, Melissa Andrea Chavez Grados, Kannan Govindan, Kiara Elizabeth Gamarra Gomez and Nagesh Gavirneni
This research aims to identify and model metrics and sub-metrics that enhance sustainable performance measurement in agri-food supply chains.
Abstract
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.