Blockchain technology adoption strategies for the shipping costs bearer in the fresh product supply chain

Fresh products are characterized by a certain deterioration rate, and the fresh supply chain typically relies on third-party cold chain logistics companies (3PLs) for transportation. This study constructs a fresh supply chain composed of supplier, retailer, and third-party cold chain logistics company, where shipping costs are borne by either the supplier or the retailer. The shipping costs bearer considers whether to adopt blockchain technology to enhance the transparency of fresh logistics and improve consumers’ perceived value. Using game theory, the paper attempts to explore who should bear the shipping costs (supplier or retailer), clarifying the shipping costs bear’s blockchain adoption strategy. The results indicate that: First, the 3PL’s profit is negatively correlated with the research and development (R&D) cost coefficient of carbon emission reduction (CER) and the deterioration rate of fresh products, while it is positively correlated with consumer low-carbon preferences. When the R&D cost coefficient of CER is high, or the deterioration rate of fresh products is low, or consumer low-carbon preferences are low, the 3PL prefers RCB model, otherwise SNB model. Additionally, the 3PL’s carbon reduction level is higher when blockchain technology is adopted, especially with low R&D cost coefficient of CER and high consumer low-carbon preferences. Second, regarding who should bear the shipping costs, when blockchain technology is not adopted, it is optimal for the supplier to bear the shipping costs, maximizing the overall profit of the supply chain. In contrast, when blockchain technology is adopted, having the retailer bear the shipping costs maximizes the overall profit of the supply chain. Specifically, when the R&D cost coefficient of CER is high, regardless of blockchain adoption, the supplier bearing the shipping costs maximizes the overall profit of the supply chain. Finally, concerning whether the bearer should invest in blockchain technology, when the R&D cost coefficient of CER is low and consumer low-carbon preferences are high, adopting blockchain technology leads to Pareto optimal profits for both the supplier and the retailer, regardless of who bears the shipping costs. This study provides a decision framework for optimizing cost allocation and technology adoption in sustainable cold chain management, particularly relevant for perishable goods with short shelf lives.

Authors

Institutions

Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2025-02-05
DOI
https://doi.org/10.3389/fsufs.2025.1550985
Citations
5
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
16.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain technology adoption strategies for the shipping costs bearer in the fresh product supply chain

Weisi Zhang, Ji Liu, Lin Wu
5 citations
Frontiers in Sustainable Food Systems
Blockchain Technology Applications and Security
16.23
article

Blockchain technology adoption strategies for the shipping costs bearer in the fresh product supply chain

Weisi Zhang, Ji Liu, Lin Wu
article en
5 citations

Abstract

Fresh products are characterized by a certain deterioration rate, and the fresh supply chain typically relies on third-party cold chain logistics companies (3PLs) for transportation. This study constructs a fresh supply chain composed of supplier, retailer, and third-party cold chain logistics company, where shipping costs are borne by either the supplier or the retailer. The shipping costs bearer considers whether to adopt blockchain technology to enhance the transparency of fresh logistics and improve consumers’ perceived value. Using game theory, the paper attempts to explore who should bear the shipping costs (supplier or retailer), clarifying the shipping costs bear’s blockchain adoption strategy. The results indicate that: First, the 3PL’s profit is negatively correlated with the research and development (R&D) cost coefficient of carbon emission reduction (CER) and the deterioration rate of fresh products, while it is positively correlated with consumer low-carbon preferences. When the R&D cost coefficient of CER is high, or the deterioration rate of fresh products is low, or consumer low-carbon preferences are low, the 3PL prefers RCB model, otherwise SNB model. Additionally, the 3PL’s carbon reduction level is higher when blockchain technology is adopted, especially with low R&D cost coefficient of CER and high consumer low-carbon preferences. Second, regarding who should bear the shipping costs, when blockchain technology is not adopted, it is optimal for the supplier to bear the shipping costs, maximizing the overall profit of the supply chain. In contrast, when blockchain technology is adopted, having the retailer bear the shipping costs maximizes the overall profit of the supply chain. Specifically, when the R&D cost coefficient of CER is high, regardless of blockchain adoption, the supplier bearing the shipping costs maximizes the overall profit of the supply chain. Finally, concerning whether the bearer should invest in blockchain technology, when the R&D cost coefficient of CER is low and consumer low-carbon preferences are high, adopting blockchain technology leads to Pareto optimal profits for both the supplier and the retailer, regardless of who bears the shipping costs. This study provides a decision framework for optimizing cost allocation and technology adoption in sustainable cold chain management, particularly relevant for perishable goods with short shelf lives.

Frontiers in Sustainable Food SystemsVol. 9
Shanghai Maritime University (CN)
Ministry of Education of the People's Republic of China, Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China
Openalex Percentile: Top 1%
Blockchain Technology Applications and Security
16.23
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.