Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Prioritization of e-traceability drivers in the agri-food supply chains

Mladen Krstić, Giulio Paolo Agnusdei, Snežana Tadić, Pier Paolo Miglietta

Agricultural and Food Economics · 2023

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Summary

This study applies a hybrid multi-criteria decision-making model combining FARE and ADAM methods to identify and rank the key drivers motivating electronic traceability adoption across agri-food supply chains. The research reveals that supply chain efficiency, technology development, and sustainability represent the primary drivers influencing successful e-traceability implementation, offering insights into the motivational factors and critical success factors for industry adoption of electronic tracking systems.

UK applicability

The findings may inform UK agri-food businesses and policymakers seeking to enhance supply chain transparency and food safety through e-traceability adoption. However, the geography of the study population is not specified in the abstract, limiting direct applicability assessment to UK-specific regulatory contexts or market conditions.

Key measures

Prioritisation ranking of e-traceability drivers; relative importance weights assigned through FARE and ADAM methodology

Outcomes reported

The study identified and prioritised the key drivers motivating e-traceability adoption in agri-food supply chains using a hybrid multi-criteria decision-making model. The analysis ranked supply chain efficiency, technology development, and sustainability as the most critical drivers for successful e-traceability implementation.

Theme
Policy, governance & rights
Subject
Pesticides, contaminants & food safety
Study type
Research
Study design
Multi-criteria decision-making analysis using hybrid FARE-ADAM methods in fuzzy environment
Source type
Peer-reviewed study
Status
Published
System type
Food supply chain
DOI
10.1186/s40100-023-00284-5
Catalogue ID
SNmp2b399g-w0nvsu

Topic tags

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