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Dynamics analysis of green supply chain under the conditions of demand uncertainty and blockchain technology.

作者信息

Zhao Liu-Wei, Jin Shuai, Gao Peng

机构信息

School of Management, Jiangsu University of Technology, Changzhou, 213001, Jiangsu, China.

School of Management, Jiangsu University, Zhenjiang, 212013, Jiangsu, China.

出版信息

Sci Rep. 2024 Oct 25;14(1):25339. doi: 10.1038/s41598-024-76616-2.

DOI:10.1038/s41598-024-76616-2
PMID:39455751
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11511997/
Abstract

This research investigates the implications of incorporating blockchain technology into the process of making decisions for green supply chains, particularly under conditions of demand uncertainty. A model was formulated to encompass both environmentally friendly products enabled by blockchain technology and those without such enabling technology. The study further explores the optimal method of introducing green input in a duopoly market using game theory. It also examines how consumer uncertainty about green products and acceptance of the technical parameters of blockchain influence this strategy. The findings suggest that increased consumer uncertainty can, in some instances, motivate manufacturers to enhance the eco-friendliness of their products and improve supply chain performance. However, the universal adoption of blockchain does not necessarily ensure better results; on the contrary, it may compromise product sustainability while enhancing supply chain profitability. Moreover, research has indicated that products enabled by blockchain typically have lower prices, thereby offering potential benefits to consumers when acceptance of sustainable energy solutions is high or uncertain. Additionally, this paper analyzes the impact of changes in green supply chain decision-making on system reliability. This involves exploring the relationship between decision parameters and consumer reluctance towards sustainable products and the adoption of blockchain technology. To ensure stable market competition in dynamic complex systems, research shows that feedback control technology can effectively regulate unpredictable behavior.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/d300aa408045/41598_2024_76616_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/719af049f772/41598_2024_76616_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/a19a938545e5/41598_2024_76616_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/f9f409e682c7/41598_2024_76616_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/22bcacabc7e8/41598_2024_76616_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/976feb1ff08d/41598_2024_76616_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/74e6e09764f7/41598_2024_76616_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/03f2a539ae37/41598_2024_76616_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/c679d57dc317/41598_2024_76616_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/f502ed8c9e94/41598_2024_76616_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/d300aa408045/41598_2024_76616_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/719af049f772/41598_2024_76616_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/a19a938545e5/41598_2024_76616_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/f9f409e682c7/41598_2024_76616_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/22bcacabc7e8/41598_2024_76616_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/976feb1ff08d/41598_2024_76616_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/74e6e09764f7/41598_2024_76616_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/03f2a539ae37/41598_2024_76616_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/c679d57dc317/41598_2024_76616_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/f502ed8c9e94/41598_2024_76616_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fda/11511997/d300aa408045/41598_2024_76616_Fig10_HTML.jpg

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本文引用的文献

1
Analysis of resilience strategies and ripple effect in blockchain-coordinated supply chains: An agent-based simulation study.区块链协调供应链中的弹性策略与涟漪效应分析:基于智能体的模拟研究
Int J Prod Econ. 2020 Oct;228:107882. doi: 10.1016/j.ijpe.2020.107882. Epub 2020 Jul 31.