Study on the Optimal Path of Solving Social Conflicts and Disputes in Zhejiang Online Court
- DOI
- 10.2991/978-2-494069-31-2_20How to use a DOI?
- Keywords
- Governance of social contradictions; Online courts; Intelligent governance
- Abstract
Zhejiang province takes online court as a new mode and method to solve social conflicts and disputes, but there are still many deficiencies due to the restriction of various conditions. Taking the People’s Court of S City, Zhejiang Province as an example, through in-depth investigation and analysis, the operation of the People’s Court has problems such as lack of stable technical support, lack of perfect information exchange mechanism, lack of technical dispute solving talents, and neglect of public participation. This paper analyses the root causes of the problems in depth, and puts forward effective suggestions such as breaking through functional bottlenecks, promoting regional linkage governance, and increasing talent supply, so as to vigorously promote the improvement of the level of intelligent governance and the ability to manage social conflicts in China.
- Copyright
- © 2022 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 - Meifan Chen AU - Keyin Jin AU - Yiren Wang PY - 2022 DA - 2022/12/29 TI - Study on the Optimal Path of Solving Social Conflicts and Disputes in Zhejiang Online Court BT - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022) PB - Atlantis Press SP - 164 EP - 173 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-31-2_20 DO - 10.2991/978-2-494069-31-2_20 ID - Chen2022 ER -