This paper studies the construction and development strategy of intelligent sports system in the context of Chinese National Fitness Program with methods of literature review and model construction. The research shows that there are four dilemmas in the implementation of intelligent sports in national fitness: data security, market monopoly, legal supervision, and product iteration. However, there are also three promoting factors in this regard, including policy guarantee, market demand, and industrial upgrading. Following the principles of scientificity, effectiveness, public welfare, and collaboration, this paper designs a system for intelligent sports in national fitness. The construction of the national fitness intelligent sports system mainly consists of four modules, including basic framework construction, function design, content design, and operation analysis. With the systematic analysis of the status quo of intelligent sports application in national fitness, this paper puts forward intelligent sports development strategies in the implementation of national fitness from four aspects: optimizing the top-level design of government, speeding up industrial transformation and upgrading, constructing market supervision mechanism, and establishing a talent training system.
With the rapid development of science and technology, sports brands are increasingly relying on knowledge-driven technology. This study uses the competitive advantage theory, comparative advantage theory, and knowledge-driven theory, referring to the evaluation principles of scientificity, operability, and effectiveness, and selects Anta, Li Ning, and Adidas as the research objects of knowledge-driven sports brand competitiveness. Using Yaaph12.7 software and multilevel index entropy method, we assign and calculate 4 secondary indexes, 12 tertiary indexes, and 35 4th-level indexes of brand strength, brand potential, brand power, and brand vitality of three brands. In addition, Anta has strong comprehensive strength and good social resources and policy support. Li Ning’s brand potential is the greatest, and the consumer group is younger. Therefore, this study draws the following conclusions: (1) The core competitiveness of knowledge-driven sports brands is the innovation-driven model of brand technology, product R&D, intangible asset value, and brand development. (2) The competitiveness of knowledge-driven sports brands pays more attention to brand potential, brand strength, and brand vitality. (3) The competitiveness of knowledge-driven sports brands needs to be combined with the latest scientific and technological means to realize the integration of brands and information technology, “Internet +,” and big data. (4) The brand size, brand resources, and other brand advantages in the knowledge-driven sports brand competition indicators are not the main influencing factors for showing the core competitiveness. This paper draws the following inspirations from the research conclusions: it is necessary for knowledge-driven sports brands to improve the ability to transform resources and stimulate the vitality of the brand market, optimize the level of brand service to meet market consumption needs, strengthen innovation-driven development and explore innovative development paths, build brand development strategy, cultivate the development of superior technology, accelerate the development of brand quality, and build an applied talent pool.
Methods of literature review and model construction were used to study the construction and development strategy of an intelligent sports application system in the sports industry. After the literature review of the sports industry and the application of artificial intelligence in this industry, we analyzed the significance of the intelligent sports application system for the development of the Chinese sports industry from the perspective of elements, data, and policies in the sports industry. The research followed four principles of system construction, which are scientificity, practicalness, efficiency, and coordination. First, we built a framework for the intelligent sports application system and designed its function from governmental, industrial, political, and individual perspectives. Second, the content of the application system was analyzed in detailed in five layers including technology, industry, application, challenge, and security. Finally, we structured the operation model according to four units: the database, intermediary platform, social subjects, and industrial subjects. This study put forward the following policy implication: it is required to (1) improve the top-level design of intelligent sports, (2) optimize the intelligent sports market environment, (3) innovate and upgrade the intelligent sports industry, and (4) build an intelligent sports talent system.
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