| Issue |
ITM Web Conf.
Volume 60, 2024
2023 5th International Conference on Advanced Information Science and System (AISS 2023)
|
|
|---|---|---|
| Article Number | 00003 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/itmconf/20246000003 | |
| Published online | 09 January 2024 | |
Evaluation factors of e-justice intelligent services: An fsQCA analysis
1 Information Technology Service Center of People’s Court, China
2 Nantong Intermediate People’s Court of Jiangsu Province, China
* Corresponding author: dreamseeking@126.com
E-justice intelligent services plays a significant role in promoting judicial efficiency and fairness. Based on previous studies, this research evaluates the quality of e-justice intelligent services from four factors, which are smart adjudication, class case recommendation, litigation risk assessment and big data analysis. We gain the data through expert interviews and analyze how these factors affect the quality of ejustice intelligent services using fsQCA. The results indicates that no single condition on its own leads to high quality of e-justice intelligent services. Smart adjudication, class case recommendation, big data analysis are core causal conditions, and litigation risk assessment is peripheral causal condition. Smart adjudication and class case recommendation have the most solutions. This study analyzes the evaluation factors of e-justice intelligent services, aiming at promoting the quality of e-justice intelligent services, so as to improve judicial efficiency.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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