A novel blockchain-based approach for enhanced food supply chain traceability and waste mitigation

Purpose Widespread food waste, lack of supply chain coordination, the need for robust traceability systems and limited empirical research on blockchain’s real-world benefits all pose significant hurdles for the global food industry to overcome. This research delves into the application of blockchain technology within a food supply chain to tackle the widespread issue of food wastage and enhance overall operational efficiency. Moreover, the paper explores the potential advantages, managerial implications and constraints associated with blockchain-enabled traceability systems in the food industry. Design/methodology/approach By utilizing a discrete event simulation model, the study investigates how blockchain-based information-sharing impacts food waste reduction, resource utilization and costs within a complex five-tier supply chain network. Findings The findings not only aid in optimizing decision-making processes but also in enhancing the information-sharing infrastructure, ultimately benefiting both consumers and food suppliers. Originality/value The simulation-based analysis provides practical insights for food industry managers and government officials seeking to improve their information-sharing systems, leading to enhanced food quality, customer satisfaction and brand image. In essence, this research contributes to optimizing decision-making in the food industry sector, benefiting both customers and providers.

Authors

Institutions

Publication Details

Journal
British Food Journal
Published
2025-08-14
DOI
https://doi.org/10.1108/bfj-05-2024-0430
Citations
11
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
12.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel blockchain-based approach for enhanced food supply chain traceability and waste mitigation

Kamyab Karimi, Zahra Ahmadirad, Kamelia Ahmadkhan, Koorosh Karaminezhad et al.
11 citations
British Food Journal
Food Waste Reduction and Sustainability
12.78
article

A novel blockchain-based approach for enhanced food supply chain traceability and waste mitigation

Kamyab Karimi, Zahra Ahmadirad, Kamelia Ahmadkhan, Koorosh Karaminezhad, Faezehalsadat SeyedKhamoushi, Fahimeh Khakpash
article en
11 citations

Abstract

Purpose Widespread food waste, lack of supply chain coordination, the need for robust traceability systems and limited empirical research on blockchain’s real-world benefits all pose significant hurdles for the global food industry to overcome. This research delves into the application of blockchain technology within a food supply chain to tackle the widespread issue of food wastage and enhance overall operational efficiency. Moreover, the paper explores the potential advantages, managerial implications and constraints associated with blockchain-enabled traceability systems in the food industry. Design/methodology/approach By utilizing a discrete event simulation model, the study investigates how blockchain-based information-sharing impacts food waste reduction, resource utilization and costs within a complex five-tier supply chain network. Findings The findings not only aid in optimizing decision-making processes but also in enhancing the information-sharing infrastructure, ultimately benefiting both consumers and food suppliers. Originality/value The simulation-based analysis provides practical insights for food industry managers and government officials seeking to improve their information-sharing systems, leading to enhanced food quality, customer satisfaction and brand image. In essence, this research contributes to optimizing decision-making in the food industry sector, benefiting both customers and providers.

British Food JournalVol. 128(1)
Kharazmi University (IR), Maharishi International University (US), Wichita State University (US), Hochschule Niederrhein (DE), University of Brighton (GB), University of Missouri–Kansas City (US)
Openalex Percentile: Top 1%
Food Waste Reduction and Sustainability
12.78
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.