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

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
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article

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

Edgar Ramos, Srinagesh Gavirneni, Kiara Gamarra, Kannan Govindan et al.
2 citations
Benchmarking An International Journal
Supply Chain Resilience and Risk Management
4.45
article

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

Edgar Ramos, Srinagesh Gavirneni, Kiara Gamarra, Kannan Govindan, Melissa Andrea Chavez Grados
article en
2 citations

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.

Benchmarking An International Journal
Openalex Percentile: Top 7%
Supply Chain Resilience and Risk Management
4.45
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