Blockchain technology adoption decision and coordination contract in green supply chain

Chronic information asymmetries in green markets erode consumer trust, creating dual impediments to sustainable consumption and supply chain efficiency. Blockchain addresses these challenges by leveraging its unique technical features. This research analyzes a two-stage green supply chain comprising a manufacturer and retailer, developing three models with key parameters: green preference levels, trust coefficients, and blockchain traceability costs. These models, which include a baseline non-blockchain model, blockchain-enabled decentralized decision-making and blockchain-integrated centralized decision-making frameworks, are designed to explore blockchain adoption strategies and coordination mechanisms. This research elucidates several critical insights: (1) The optimal level of green production investment correlates positively with consumer green preferences regardless of blockchain implementation. Blockchain incentivizes the manufacturer to boost green investments, stimulating demand, improving retailer profits and Consumer Surplus. (2) Beyond blockchain operational costs, consumer trust levels act as pivotal determinants in decisions regarding blockchain adoption. The manufacturer tends to be more inclined to adopt blockchain technology only when consumer trust levels and the fixed costs of blockchain implementation are both below specific thresholds. (3) Compared with the decentralized decision-making model, the centralized decision-making model exhibits elevated levels of green production investment, significantly higher overall supply chain profits, and an augmented Consumer Surplus. The design of a two-part tariff contract with fixed remuneration enables supply chain coordination. Within a defined threshold range, fixed remuneration can achieve Pareto improvement in profits for both manufacturer and retailer. (4) The asymmetric Nash bargaining equilibrium enables the efficient allocation of post-coordination surplus gains. This research offers theoretical support for blockchain adoption choices in green supply chains, promoting green, efficient, and sustainable supply chain development.

Authors

Publication Details

Journal
International Journal of Industrial Engineering Computations
Published
2025-01-01
DOI
https://doi.org/10.5267/j.ijiec.2025.6.008
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25

Funders

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

Blockchain technology adoption decision and coordination contract in green supply chain

Jing Luo, Lin Tong, Yuhui Li, Peiyu Zhao
1 citations
International Journal of Industrial Engineering Computations
Blockchain Technology Applications and Security
3.25
article

Blockchain technology adoption decision and coordination contract in green supply chain

Jing Luo, Lin Tong, Yuhui Li, Peiyu Zhao
article en
1 citations

Abstract

Chronic information asymmetries in green markets erode consumer trust, creating dual impediments to sustainable consumption and supply chain efficiency. Blockchain addresses these challenges by leveraging its unique technical features. This research analyzes a two-stage green supply chain comprising a manufacturer and retailer, developing three models with key parameters: green preference levels, trust coefficients, and blockchain traceability costs. These models, which include a baseline non-blockchain model, blockchain-enabled decentralized decision-making and blockchain-integrated centralized decision-making frameworks, are designed to explore blockchain adoption strategies and coordination mechanisms. This research elucidates several critical insights: (1) The optimal level of green production investment correlates positively with consumer green preferences regardless of blockchain implementation. Blockchain incentivizes the manufacturer to boost green investments, stimulating demand, improving retailer profits and Consumer Surplus. (2) Beyond blockchain operational costs, consumer trust levels act as pivotal determinants in decisions regarding blockchain adoption. The manufacturer tends to be more inclined to adopt blockchain technology only when consumer trust levels and the fixed costs of blockchain implementation are both below specific thresholds. (3) Compared with the decentralized decision-making model, the centralized decision-making model exhibits elevated levels of green production investment, significantly higher overall supply chain profits, and an augmented Consumer Surplus. The design of a two-part tariff contract with fixed remuneration enables supply chain coordination. Within a defined threshold range, fixed remuneration can achieve Pareto improvement in profits for both manufacturer and retailer. (4) The asymmetric Nash bargaining equilibrium enables the efficient allocation of post-coordination surplus gains. This research offers theoretical support for blockchain adoption choices in green supply chains, promoting green, efficient, and sustainable supply chain development.

International Journal of Industrial Engineering ComputationsVol. 16(4)
National Natural Science Foundation of China, Ministry of Education, India, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 7%
Blockchain Technology Applications and Security
3.25
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.