Risk Control of Fresh Agricultural Products in E-Commerce Cold Chain

With the rapid development of the internet and shifts in consumption patterns, fresh agricultural products e-commerce has grown exponentially, yet its supply chain faces risks from product perishability, complex logistics, and information asymmetry. This study, integrating green ecological agriculture—a rarely explored perspective—classifies risks into controllable (logistics, financial, information, business flow) and uncontrollable (natural, market, policy, legal) types. Using AHP and fuzzy evaluation, it quantifies risks, revealing logistics risks (weight = 0.38) as most critical, followed by information and financial risks. Proposed strategies include cold chain optimization via technological upgrades, fair benefit distribution among supply chain participants, and enhanced information transparency through traceability systems and IoT/blockchain. Cases like MissFresh and JD.com validate these strategies, reducing spoilage rates and improving efficiency. This study advances dynamic risk assessment and guides green cold chain risk control.

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Publication Details

Journal
International Journal of Agricultural and Environmental Information Systems
Published
2025-10-10
DOI
https://doi.org/10.4018/ijaeis.390237
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
0.00
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article

Risk Control of Fresh Agricultural Products in E-Commerce Cold Chain

Yu Han
International Journal of Agricultural and Environmental Information Systems
Food Supply Chain Traceability
article

Risk Control of Fresh Agricultural Products in E-Commerce Cold Chain

Yu Han
article en

Abstract

With the rapid development of the internet and shifts in consumption patterns, fresh agricultural products e-commerce has grown exponentially, yet its supply chain faces risks from product perishability, complex logistics, and information asymmetry. This study, integrating green ecological agriculture—a rarely explored perspective—classifies risks into controllable (logistics, financial, information, business flow) and uncontrollable (natural, market, policy, legal) types. Using AHP and fuzzy evaluation, it quantifies risks, revealing logistics risks (weight = 0.38) as most critical, followed by information and financial risks. Proposed strategies include cold chain optimization via technological upgrades, fair benefit distribution among supply chain participants, and enhanced information transparency through traceability systems and IoT/blockchain. Cases like MissFresh and JD.com validate these strategies, reducing spoilage rates and improving efficiency. This study advances dynamic risk assessment and guides green cold chain risk control.

International Journal of Agricultural and Environmental Information SystemsVol. 16(1)
Xijing University (CN)
Openalex Percentile: Top 66%
Food Supply Chain Traceability
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Risk Control of Fresh Agricultural Products in E-Commerce Cold Chain — Yu Han · International Journal of Agricultural and Environmental Information Systems (2025) | TGRS Research Map | TGRS