TAEKWONDO COMPETITION MARKETIZATION DEVELOPMENT STRATEGY BASED ON SWOT-AHP MODEL
China middle school students Taekwondo League, as the highest level of taekwondo events for middle school students, is an important part of middle school sports events. The development of the league can not only enrich sports activities, mobilize the enthusiasm of middle school students for sports, but also conducive to the improvement of students' will quality and psychological quality as well as training reserve talents. With the rapid development of taekwondo League for middle school students, problems such as imperfect market organization and operation system, unreasonable competition system and imperfect management system of sports teams have been exposed, which affect the sustainable development of the competition to a certain extent. This paper mainly uses the SWOT AHP research method to explore the market commercialization status quo, existing problems and development strategies of Chinese middle school students Taekwondo League, so as to provide theoretical basis for other related studies.
Keyword : market operation, SWOT analysis, AHP hierarchical analysis
This work is licensed under a Creative Commons Attribution 4.0 International License.
 Yi Zheyun, Pu Biwen. Discussion on sports Marketization, Government System Regulation and Reform Path [J]. Business Times, 2014 (23).  CAI Jinlin. The development trend and Marketing Strategy of sports event operation in China [J]. Shopping Mall Modernization,2008(26):250.  Wang Xiyao. Empirical Research on the market development of large-scale comprehensive sports events in China [D]. Wuhan Institute of Physical Education,2008.  Liu Heming, Liu Kai. Suggestions on Marketing strategy Optimization of Taekwondo clubs in China -- taking Tai 'an City as an example [J]. Contemporary Sports Science and Technology,2018,8(33):227-228+230. Jingchun Zhou*, Lei Pang, Weishi Zhang*. Underwater image enhancement method by multi-interval histogram equalization. IEEE Journal of Oceanic Engineering, 48(2),2023: 474-488.  Jingchun Zhou*, Dehuan Zhang, Weishi Zhang*. Cross-view enhancement network for underwater images. Engineering Applications of Artificial Intelligence, 2023, 121, 105952.  Xu, Y., Li, W., Tai, J., & Zhang, C. (2022). A Bibliometric-Based Analytical Framework for the Study of Smart City Lifeforms in China. International journal of environmental research and public health, 19(22), 14762. Zhang, C., Su, Q., & Zhu, Y. (2023). Urban park system on public health: underlying driving mechanism and planning thinking. Frontiers in Public Health, 11, 1193604. Hu, M., & Chaudhry, S. S. (2020). Enhancing consumer engagement in e-commerce live streaming via relational bonds. Internet Research, 30(3), 1019-1041.