Comprehensive Scores of Legal Risk by Using Clustering Analysis
Ying Zhang, Dongsheng Xu, Juanjuan Geng
Available Online May 2016.
- https://doi.org/10.2991/icpel-16.2016.14How to use a DOI?
- Legal risk, Clustering analysis, Minimum variance unbiased estimation, Distance
- To evaluate the legal risk of big enterprise in China for the sake of avoiding unnecessary loss, multivariate statistical analysis method was adopted. In the evaluation process, a criterion which contains 967 observation points was raised. All the 967 observation points were carried out by priority setting and risk assessment. To complete the evaluation process hierarchical clustering analysis was applied. It can be concluded that there is no possibility of significant legal risk happening in the enterprise, but its potential legal risk should not be ignored. The result of this paper is a reminder for the enterprise to pay attention to its legal risk. The case showed in the paper indicates that the method used was feasible to evaluate the legal risk. Thus, the enterprise is able to reduce its legal risk in accordance with the provided result.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Ying Zhang AU - Dongsheng Xu AU - Juanjuan Geng PY - 2016/05 DA - 2016/05 TI - Comprehensive Scores of Legal Risk by Using Clustering Analysis BT - 2016 International Conference on Politics, Economics and Law (ICPEL 2016) PB - Atlantis Press SP - 59 EP - 62 SN - 2352-5398 UR - https://doi.org/10.2991/icpel-16.2016.14 DO - https://doi.org/10.2991/icpel-16.2016.14 ID - Zhang2016/05 ER -