Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

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Government Governance in the Background of Big Data: Challenges and Optimization Paths

Authors
Chuanli Wei1, Xue Wu1, *
1Harbin University of Commerce, Harbin, 150000, Heilongjiang, China
*Corresponding author. Email: 1097199319@qq.com
Corresponding Author
Xue Wu
Available Online 29 March 2023.
DOI
10.2991/978-94-6463-124-1_39How to use a DOI?
Keywords
big data; government governance; dilemma
Abstract

The emergence of a new generation of information technology, such as cloud computing, big data and artificial intelligence, and the high integration of all walks of life have brought powerful and profound changes to society, and also provided an important opportunity for the modernization of government governance. The local government governance model is an important support for the high-level development of a region, which improves the efficiency and level of government governance. However, in the context of big data, government governance and big data integration are characterized by instability, sensitivity and complexity. A series of constraints, such as the difficulty in changing the traditional decision-making model, the low degree of coordination between government departments, the lack of big data technical talents, and the immature legal system of big data, pose great challenges to the government governance model. This paper takes the innovation of government governance model under the background of big data as the research object, analyzes and discusses the problems faced by government governance and the optimization path of government governance mode innovation.

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 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 March 2023
ISBN
10.2991/978-94-6463-124-1_39
ISSN
2352-5428
DOI
10.2991/978-94-6463-124-1_39How 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  - Chuanli Wei
AU  - Xue Wu
PY  - 2023
DA  - 2023/03/29
TI  - Government Governance in the Background of Big Data: Challenges and Optimization Paths
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 326
EP  - 333
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_39
DO  - 10.2991/978-94-6463-124-1_39
ID  - Wei2023
ER  -