Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

Analysis of configuration of influencing factors of government information disclosure based on adaptive structure theory.

- -Take the thirty-one provinces, for example

Authors
Rumeng Jin1, *
1College of Industrial Technology, Chengdu University of Science and Technology, Yibin, 644000, China
*Corresponding author. Email: 2735780242@qq.com
Corresponding Author
Rumeng Jin
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_66How to use a DOI?
Keywords
Government Information Disclosure Adaptive Structuration Theory Driving Paths Configuration Analysis
Abstract

Information disclosure is both a focus of public management and a challenging issue in contemporary Chinese government management practice. This paper adopts the fsQCA methodology and innovatively applies adaptive structuration theory to explore the driving paths affecting the level of government information disclosure by selecting six factors from three aspects: information technology structural sources, internal structural sources, and external structural sources, using the level of information disclosure of 31 provincial governments in China as the outcome variable. The results of the study are as follows. (1) The six factors cannot be seen in isolation as necessary conditions for the level of government information disclosure (2) There are four driving paths for high government information disclosure level. (3) There is a synergy of multiple factors behind government information disclosure. The findings of this paper help to develop a rational understanding of the complex interplay of multiple factors behind the level of government information disclosure in China and provide useful practical insights into the construction of government information disclosure.

Copyright
© 2024 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 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-262-0_66
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_66How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Rumeng Jin
PY  - 2023
DA  - 2023/10/09
TI  - Analysis of configuration of influencing factors of government information disclosure based on adaptive structure theory.
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 634
EP  - 641
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_66
DO  - 10.2991/978-94-6463-262-0_66
ID  - Jin2023
ER  -