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Document Type

Abstract

Publication Date

12-1-2024

Abstract

Background/Purpose: Developing a systematic approach is essential for the sports industry development. Talent optimization plays a crucial part in this process. The present study gathered talent-related data pertaining to China's sports industry between 2015 and 2021.

Method: This study used the structural deviation coefficient model to analyze the supply and demand structural matching of data related to China's sports industry and talents from 2015–2021. The gray prediction model was used to predict and analyze the demand for talents in China's sports industry in the middle and late 14th Five-Year Plan. The participation of relevant subjects in the systematization of the sports industry and the path of collaborative training of talents in the sports industry was explored.

Results: Several notable findings have been observed: (1) the number of talented individuals has steadily increased, (2) the scale of the sports service industry, as well as the proportion of market players and talented individuals, continue to rise, (3) there is a serious oversupply of talent in the sports industry, and (4) the sports industry lacks systematic and composite talent. A grey forecasting model was utilized to predict the demand for China's sport market by 2025. This study identified the need for collaborative professional training and examined potential approaches.

Conclusion/Discussion: Firstly, the administrative departments responsible for sports may prioritize development needs and coordinate talent construction. Secondly, sports enterprises may actively engage in talent training system construction by initiating relevant talent standards. Lastly, social training institutions, universities, and colleges may facilitate curriculum alignment with industry development to accelerate talent cultivation.

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