Measuring the Success of Global Sports Governance: A Deep Trust Network Model Approach.

Abstract

With the development of the economy and the improvement of living standards, people's needs have gradually changed, and sports has received increasing attention. At the same time, due to the significant efforts of all countries in sports, sports governance has also attracted considerable attention from scholars. However, the evaluation of global sports governance has rarely been discussed. This paper analyzes the principles for selecting indicators of global sports governance and develops a global sports governance evaluation indicator system consisting of 3 first-level indicators, 6 s-level indicators, and 14 third-level indicators. Additionally, this paper conducted an empirical study of the indicator system using the deep trust network model, and the results showed that the research on the evaluation index system of global sports governance based on the deep trust network model is feasible. Compared with the actual scores, the evaluation gaps for sports facility satisfaction, sports information satisfaction, and sports activity satisfaction were only 0.05, 0.09, and 0.05, respectively. Overall, this method is more accurate in analyzing the evaluation index system of global sports governance and can more directly and objectively reflect the shortcomings of current global sports governance, providing specific analysis of particular problems. The paper suggests that current global sports governance should focus on the coverage of sports facilities, attention to mass sports, satisfaction of sports activities, and promote in-depth development through both hard and soft governance measures.