تبیین چارچوب آماده سازی فرهنگی قهرمانان ورزشی به عنوان الگوی اجتماعی با رویکرد داده کاوی
محورهای موضوعی : مطالعات علوم اجتماعی در ورزشلاله کردوانی 1 , علی محمد صفانیا 2 * , حبیب هنری 3 , ابوالفضل فراهانی 4
1 - دانشگاه آزاد اسلامی علوم تحقیقات واحد تهران
2 - دانشیار گروه مدیریت ورزشی دانشگاه آزاد اسلامی واحد علوم و تحقیقات تهران
3 - گروه مدیریت ورزشی دانشگاه علامه طباطبایی
4 - استاد مدیریت ورزشی دانشگاه پیام نور
کلید واژه: تکنولوژی, هوش مصنوعی, داده کاوی, ورزش قهرمانی, قهرمانان, الگوی اجتماعی,
چکیده مقاله :
هدف: این پژوهش، تبیین چارچوب آماده‌سازی فرهنگی قهرمانان ورزشی به‌عنوان الگوی اجتماعی با رویکرد داده‌کاوی است. در این راستا، با استفاده از فناوری‌های داده‌محور، عوامل مؤثر بر صنعت ورزش و ورزش قهرمانی شناسایی شدند تا مراحل آماده‌سازی تیم یا بازیکن قهرمان، حفظ و ارتقاء ارزش‌های فرهنگی ورزشی و تأثیرات اجتماعی الگوهای ورزشی مورد بررسی قرار گیرند.
روش شناسی: تحقیق کیفی و شامل جستجوی اکتشافی و تحلیلی در حوزه‌های ورزش و فناوری‌های داده‌محور بود. پس از شناسایی عوامل اثرگذار، چارچوبی برای مراحل آماده‌سازی و الگوسازی قهرمانان و ذینفعان با استفاده از داده‌کاوی و با توجه به همبستگی‌های اجتماعی ارائه شد. این چارچوب برای بررسی و اصلاح به ۳۰ نفر از متخصصان حوزه هوش مصنوعی، علم داده و ورزش ارائه و در گروه کانونی مورد بحث قرار گرفت. نمونه‌گیری به‌صورت هدفمند انجام شد و ۱۵ نفر در این پژوهش مشارکت داشتند.
یافته‌ها: پس از شناسایی ۹ عامل مؤثر و مرتبط با ورزش قهرمانی کشور با رویکرد داده‌کاوی بود. چهار مرحله اصلی در آماده‌سازی و الگوسازی قهرمانان ورزشی شامل شناسایی و انتخاب، آماده‌سازی قبل از مسابقه، عمل در حین مسابقه و تحلیل پس از مسابقه ارائه شد.
نتیجه گیری: این چارچوب به مدیران ورزشی کمک می‌کند با بهره‌گیری از داده‌کاوی، استراتژی‌های مدیریتی مناسب را برای آماده‌سازی قهرمانان ورزشی به‌عنوان الگوهای اجتماعی انتخاب و اجرا کنند.
Objective: This research aims to elucidate a cultural preparation framework for sports champions as social role models using a data mining approach. In this regard, data-driven technologies were employed to identify the factors influencing the sports industry and championship sports, in order to assess the stages of preparation for teams or champion players, maintaining and enhancing cultural sports values, and the social impacts of sports role models.
Methodology: The research is qualitative, involving exploratory and analytical investigation in the fields of sports and data-driven technologies. After identifying the influential factors, a framework was provided for the stages of preparation and modeling of champions and stakeholders using data mining, considering social correlations. This framework was reviewed and revised by 30 experts in artificial intelligence, data science, and sports through focus group discussions. The sampling was purposeful, with 15 participants involved in the study.
Findings: Nine influential and relevant factors related to championship sports in the country were identified using a data mining approach. Four main stages in the preparation and modeling of sports champions were presented: identification and selection, pre-competition preparation, performance during competition, and post-competition analysis.
Conclusion: This framework assists sports managers in leveraging data mining to select and implement appropriate managerial strategies for preparing sports champions as social role models.
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