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.
Authors
- Edgar Ramos (ORCID: https://orcid.org/0000-0002-6135-2646)
- Srinagesh Gavirneni (ORCID: https://orcid.org/0000-0002-4107-8539)
- Kiara Gamarra (ORCID: https://orcid.org/0000-0001-8579-3158)
- Kannan Govindan (ORCID: https://orcid.org/0000-0002-6204-1196)
- Melissa Andrea Chavez Grados (ORCID: https://orcid.org/0000-0003-0755-835X)
Publication Details
- Journal
- Benchmarking An International Journal
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1108/bij-05-2024-0395
- Citations
- 2
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 4.45