Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)

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Research on Logistics Data Governance System

Authors
Shenrui Li1, Deqian Fu1, *, Jianlong Qiu1, *
1Linyi University, Linyi, China
*Corresponding author. Email: fudeqian@lyu.edu.cn
*Corresponding author. Email: qiujianlong@lyu.edu.cn
Corresponding Authors
Deqian Fu, Jianlong Qiu
Available Online 26 July 2023.
DOI
10.2991/978-94-6463-200-2_137How to use a DOI?
Keywords
data governance; logistics data; Standardized theoretical support
Abstract

With the rapid development of logistics, this paper expounds the data governance, introduces the basic status of logistics data, combs the problems faced by the logistics industry data, and proposes to establish a logistics data governance system to provide standardized theoretical support for China's logistics data governance.

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 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
26 July 2023
ISBN
978-94-6463-200-2
ISSN
2589-4919
DOI
10.2991/978-94-6463-200-2_137How 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  - Shenrui Li
AU  - Deqian Fu
AU  - Jianlong Qiu
PY  - 2023
DA  - 2023/07/26
TI  - Research on Logistics Data Governance System
BT  - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023)
PB  - Atlantis Press
SP  - 1290
EP  - 1295
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-200-2_137
DO  - 10.2991/978-94-6463-200-2_137
ID  - Li2023
ER  -