Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)

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Research on Application Strategy of Big Data Analysis in Logistics Supply Chain Technology Innovation

Authors
Yunying Kuang1, *, Guoqiang Luo1
1Guangzhou Vocational University of Science and Technology, 51000, Guangzhou, China
*Corresponding author. Email: 282051631@qq.com
Corresponding Author
Yunying Kuang
Available Online 31 October 2023.
DOI
10.2991/978-2-38476-126-5_133How to use a DOI?
Keywords
Big data analysis; Technological innovation; Logistics supply chain; Application strategy
Abstract

In order to understand the impact trend of big data technology on logistics supply chain, and find out the development idea of applying big data in logistics supply chain, the logistics supply chain based on big data technology presents the development trend of intelligentization, co-biochemistry, short chain and intellectualization. Taking agricultural products supply chain as an example, the main impacts of big data on the process refinement of agricultural products supply chain, green information exchange, short chain and the willingness improvement of all parties in the chain were analyzed by this paper. The results show that big data technology is still in the process of continuous superposition popularization and improvement in China, and each core stage of logistics supply chain should further realize higher data value. Based on the research results, this paper proposes to promote the innovative development of logistics supply chain from the perspectives of refining support policies, establishing a sustainable interconnection system of logistics big data, accelerating technological innovation and enhancing the willingness of enterprises to data.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 October 2023
ISBN
10.2991/978-2-38476-126-5_133
ISSN
2352-5398
DOI
10.2991/978-2-38476-126-5_133How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yunying Kuang
AU  - Guoqiang Luo
PY  - 2023
DA  - 2023/10/31
TI  - Research on Application Strategy of Big Data Analysis in Logistics Supply Chain Technology Innovation
BT  - Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)
PB  - Atlantis Press
SP  - 1197
EP  - 1206
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-126-5_133
DO  - 10.2991/978-2-38476-126-5_133
ID  - Kuang2023
ER  -