Intelligent management of supply chain information sharing based on blockchain

Xiujian Lan & Chaopeng Lin

International Journal of Technology Intelligence and Planning2024https://doi.org/10.1504/ijtip.2024.145511article
AJG 1
Weight
0.30

What the paper says

Supply chain management faces significant challenges in the increasingly complex globalised business environment. The most notable of these challenges are information asymmetry, data security, and transparency issues. Traditional blockchain technology processes information slowly, which can cause delays and operational risks for modern enterprises. To address this issue, the experiment suggests an intelligent supply chain information management approach based on enhanced blockchain technology. First, the working principle of blockchain technology is analysed, and then blockchain technology is used to improve the management model of enterprise supply chain. Feasibility verification is conducted using the inventory-distribution model. The optimal solution was found when the model was run five times and iterated about ten times, and convergence was achieved at the same time. When the number of hidden nodes was 8 and the information index was 16, the research method's minimum value at this time was 5.92. The impact of hidden nodes on the error rate was observed. The results indicate that the proposed method can enhance information sharing efficiency and overall supply chain management optimisation, thereby facilitating the rapid growth of modern enterprises.

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https://doi.org/https://doi.org/10.1504/ijtip.2024.145511

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@article{xiujian2024,
  title        = {{Intelligent management of supply chain information sharing based on blockchain}},
  author       = {Xiujian Lan & Chaopeng Lin},
  journal      = {International Journal of Technology Intelligence and Planning},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtip.2024.145511},
}

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Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.