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Measuring the Success of Global Sports Governance: A Deep Trust Network Model Approach
Journal of Psycholinguistic Research ( IF 1.315 ) Pub Date : 2024-02-27 , DOI: 10.1007/s10936-024-10048-x
Zhongyi Fan , Jiandong Yi

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.



中文翻译:

衡量全球体育治理的成功:深度信任网络模型方法

随着经济的发展和生活水平的提高,人们的需求逐渐发生变化,体育运动越来越受到重视。与此同时,由于各国在体育方面的巨大努力,体育治理也引起了学者们的广泛关注。然而,对全球体育治理的评价却鲜有讨论。分析了全球体育治理指标的选取原则,构建了由3个一级指标、6个S级指标、14个三级指标组成的全球体育治理评价指标体系。此外,本文利用深度信任网络模型对指标体系进行了实证研究,结果表明基于深度信任网络模型的全球体育治理评价指标体系研究是可行的。与实际得分相比,体育设施满意度、体育信息满意度、体育活动满意度的评价差距分别仅为0.05、0.09、0.05。总体而言,该方法对全球体育治理评价指标体系的分析更加准确,能够更直观、客观地反映当前全球体育治理的不足,具体问题具体分析。文章建议,当前全球体育治理应以体育设施覆盖、群众体育关注、体育活动满意度为核心,通过硬治理和软治理措施推动纵深发展。

更新日期:2024-02-28
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