Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 9, Issue 1


Published
on

April 1, 2024


Pages


DOI

Article

Blockchain-based e-commerce supply chain logistics management model innovation in the context of big data analysis

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Authors

Dongdong Hou Affiliation:
Henan Open University, Zhengzhou, Henan, 450046, China.
and Mengke Zhou Affiliation:
Henan Open University, Zhengzhou, Henan, 450046, China.


Abstract

Facing the triple challenges of information opacity, inefficiency, and security in e-commerce supply chain logistics, this study turns to blockchain technology for solutions. Blockchain’s decentralization, transparency, and security features present fresh avenues for overcoming these obstacles. By harnessing the Adaboost algorithm, we optimize logistics data processing to bolster decision-making efficiency. Moreover, using game theory, we analyze how information sharing strategies among enterprises affect logistics management, advocating for a paradigm shift towards cooperative logistics modes. Implementing blockchain technology in our study led to a significant leap in logistics transparency and efficiency, with experimental data revealing a 20% decrease in logistics costs and a 30% enhancement in efficiency. These findings affirm the role of blockchain as a catalyst for innovation in e-commerce supply chain logistics, promoting a more efficient and secure information-sharing ecosystem.


Keywords

Blockchain, E-commerce supply chain, Logistics management, Adaboost algorithm, 97N80


Citation

Hou, D. & Zhou, M. (2024). Blockchain-based e-commerce supply chain logistics management model innovation in the context of big data analysis. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0729

Published by: Engineering Journals

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