期刊文献+

人工智能赋能全民健身赛事活动的运营风险管理策略 被引量:2

Operational Risk Management Strategies of National Fitness Events Empowered by Artificial Intelligence
在线阅读 下载PDF
导出
摘要 人工智能赋能全民健身赛事活动的运营风险管理是进一步促进我国群众体育发展提质增效的关键抓手与重要环节。本研究立足管理学的运营风险识别与评估、应对策略及风险社会放大等理论逻辑,以全民健身赛事活动为研究对象展开论述。研究认为,当前全民健身赛事活动的运营风险管理存在管理者智能化思维缺位、智能型管理人才稀缺、设施保障体系离散与数据资源整合脱嵌、机器学习技术与赛事融合程度不足、赛事顶层设计同质化与营销定位模糊、赛事赞助两极化趋势等困境。建议从打造赛事智能引擎、拓宽智能型管理人才培育渠道、系统性重构赛事设施保障体系、推动机器学习“适体化”改造、完善差异化顶层设计与构建精准化营销体系、创新智能交互式赞助模式等方面切入,为革新人工智能赋能全民健身赛事活动的运营风险管理策略提供理论依据与实践参考。 The operational risk management of national fitness events empowered by artificial intelligence is a key approach and important link to further promote the quality and efficiency improvement of mass sports in China.This study,based on the theoretical logic of operational risk identification and assessment,response strategies and social amplification of risks in management science,takes national fitness events as the research object.It holds that the current operational risk management of national fitness events faces challenges such as the absence of intelligent thinking of managers,the scarcity of intelligent management talents,the dispersion of facility guarantee systems and the disconnection of data resource integration,the insufficient integration of machine learning technology and events,the homogenization of top-level design and the ambiguity of marketing positioning of events,and the polarization trend of event sponsorship.The study suggests that efforts should be made to create an intelligent event engine,broaden the channels for cultivating intelligent management talents,systematically reconstruct the event facility guarantee system,promote the tailored transformation of machine learning,improve the differentiated top-level design and build a precise marketing system,and innovate intelligent interactive sponsorship models,providing theoretical basis and practical references for the innovation of operational risk management strategies of national fitness events empowered by artificial intelligence.
作者 汤舒涵 李荣日 TANG Shuhan;LI Rongri(Institute of Sports Economics Theory,East China University of Science and Technology,Shanghai 200237,China)
出处 《沈阳体育学院学报》 北大核心 2025年第5期82-88,144,共8页 Journal of Shenyang Sport University
基金 国家社会科学基金一般项目“数字经济驱动体育产业振兴发展的运行机理与实现机制研究”(22BTY025)。
关键词 人工智能 全民健身 全民健身赛事 活动运营 风险管理 artificial intelligence national fitness national fitness events event operation risk management
  • 相关文献

参考文献14

二级参考文献304

共引文献183

同被引文献33

引证文献2

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部