نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار مدیریت ورزشی، دانشگاه قم

2 کارشناس ارشد مدیریت ورزشی، دانشگاه قم

3 استادیار ریاضیات، دانشگاه قم

چکیده

پژوهش حاضر با هدف ایجاد یک سیستم توصیه‌گر ارزیاب برای تعیین میزان رضایتمندی ورزشکاران از خدمات بیمه‌ای با استفاده از تکنیک داده‌کاوی انجام شد. روش پژوهش، توصیفی و از نوع پیمایشی بود که به‌لحاظ هدف، کاربردی و از حیث روش جمع‌آوری اطلاعات، میدانی بود. جامعة آماری پژوهش حاضر ورزشکارانی بودند که به‌صورت منظم در رشته‌های گوناگون ورزشی در سال 1397 به ورزش می‌پرداختند که با استفاده از جدول کرجسی و مورگان (1970) 384 نفر به‌عنوان نمونه انتخاب شدند. ابزار جمع‌آوری اطلاعات پرسش‌نامة پژوهشگرساخته بود که روایی آن به تأیید 12 نفر از متخصصان مدیریت ورزشی و بیمه رسید و پایایی آن 86/0 = α به دست آمد. از آزمون کلموگروف-اسمیرنوف برای بررسی چگونگی توزیع داده‌ها و از قواعد انجمنی و الگوریتم اپریوری برای طبقه‌بندی و خوشه‌بندی الگوریتم استفاده شد. تجزیه‌‌وتحلیل داده‌های پژوهش با استفاده از نرم‌افزارهای اس.پی.اس.اس. نسخة 23 و وکا نسخة 2.9.3 انجام گرفت. یافته‌های پژوهش نشان داد که بیشترین آسیب‌دیدگی در بین ورزشکاران در اندام فوقانی و از نوع دررفتگی بود. همچنین، میزان آسیب‌دیدگی در رشته‌های تیمی بیشتر بود. نتایج مربوط به رضایتمندی و میزان سهولت از بازپرداخت خسارات به ورزشکاران بیمه‌شده نشان داد که ورزشکاران رضایت متوسط از خدمات بیمة ورزشی داشتند. همچنین، تضمین، مهم‌ترین مؤلفهو پاسخ‌گویی، کم‌اهمیت‌ترین مؤلفه در بهبود رضایتمندی ورزشکاران از خدمات بیمه بود. نتایج پژوهش بیانگر این است که تعداد مراجعة ورزشکاران برای استفاده از بیمة ورزشی نقش مهمی در رضایتمندی ورزشکاران از خدمات بیمة فدراسیون پزشکی ورزشی دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Establishing an Assessment Recommender System to Measure Athletes' Satisfaction with Insurance Services Using Data Mining Techniques

نویسندگان [English]

  • Tahereh Nedaee 1
  • Zahra Yazdani 2
  • Effat Golpar Raboky 3

1 Assistant Professor of Sport Management, University of Qom

2 M.Sc. of Sport Management, University of Qom

3 Assistant Professor of Mathematics, University of Qom

چکیده [English]

The purpose of the present study was to Establishing an assessment recommender system to measure athletes' satisfaction with insurance services using Data Mining techniques. The method of this research is descriptive and is of survey type which is objective and applied in terms of collecting field information. The statistical population of the present study was athletes who regularly participated in sports in different sports in 2018, using Morgan and krejcie table 384 as a sample. The data collection tool was a researcher-made questionnaire whose validity was confirmed by 12 Sport management andinsurance specialists and its reliability was α = 0.86. The Kolmogorov-Smirnov test was used to normalize the data and Association Rules and apriori algorithm for classification and clustering of the algorithm. Data analysis was performed using SPSS version 23 and WEKA version 3.9.2. The findings showed that the most common injuries among athletes were upper limbs and dislocation. There is also a higher rate of injury in team disciplines. Results of satisfaction and ease of reimbursement of damages to insured athletes showed that athletes had moderate satisfaction with sports insurance services. as well as ensuring the most important component and accountability was the least important component in improving the satisfaction of athletes from insurance services. The results indicate that the number of athletes referring to the use of sports insurance plays an important role in the satisfaction of athletes with the services of the Sports Medical Federation.

کلیدواژه‌ها [English]

  • Sports Insurance Services
  • Assurance
  • Accountability
  • Apriori Algorithm
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