Understand the Key Factors and Combination Paths of Chinese Government Data Governance Performance
- DOI
- 10.2991/978-2-494069-45-9_7How to use a DOI?
- Keywords
- data governance; Chinese government; key factors; path analysis
- Abstract
Countries around the world attach great importance to the performance of government data governance. However, existing research has not established a systematic analysis framework, and the interpretation of government data governance performance is limited. Therefore, from the perspective of institutional theory, public value theory and resource-based theory, this paper constructs an analytical framework for value goals, institutional environment and government capacity, and uses data service utilization variables, policy environment support, public demand pressure, government financial capacity and Leadership is highly valued as a condition variable. The fuzzy set qualitative comparison method is used to analyze the configuration of 31 provincial-level government data governance cases in China. The study finds that the performance of government data governance is affected by multiple factors, including three types of leadership-demand, system-goal, and comprehensive driving. The class combination path promotes high performance of government data, while the non-high performance 3-class generation mechanism is completely different.
- 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
TY - CONF AU - Hongzhu Lei AU - Hui Cheng AU - Huan Gong PY - 2022 DA - 2022/12/16 TI - Understand the Key Factors and Combination Paths of Chinese Government Data Governance Performance BT - Proceedings of the 2022 2nd International Conference on Modern Educational Technology and Social Sciences (ICMETSS 2022) PB - Atlantis Press SP - 53 EP - 60 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-45-9_7 DO - 10.2991/978-2-494069-45-9_7 ID - Lei2022 ER -