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Predicting Market Value of Iranian Football Players using Linear Modeling Techniques

عنوان مقاله: Predicting Market Value of Iranian Football Players using Linear Modeling Techniques
شناسه ملی مقاله: JR_RSMM-1-2_005
منتشر شده در در سال 1400
مشخصات نویسندگان مقاله:

Rasool Nazari - Associate Professor, Department of Sports Management, Faculty of Sports Sciences, Islamic Azad University, Isfahan Branch (Khorasgan), Isfahan, Iran
Saeid Azari - Ph.D of sport management Islamic Azad University, Isfahan (Khorasgan) branch, Isfahan, Iran

خلاصه مقاله:
Background: The purpose of this study was to predict the market value of professional football players in the Iranian Premier League in the ۲۰۲۰-۲۰۲۱ season of Iranian football.Methods: method of the present study was descriptive-survey. The statistical population of the present study included all Iranian and foreign players working in the Iranian Football Premier League, which totaled ۴۰۹ people the appropriate sample size for the research was calculated based on the community sampling formula and at a ۵% error level, ۲۰۰ people were calculated descriptive statistics was used for analysis and multiple regression method was used for inferential analysis.Finding: Results showed that there is a significant relationship between player valuation and age variables, goalkeeper position, midfielder position, striker position, individual awards, foot position and number of games therefore, it can be concluded that when evaluating, the mentioned factors should be considered to attract the desired players of the clubs in the transfer seasons.Conclusion: In general, it can be acknowledged that the estimated coefficients of this model have the necessary efficiency to determine the market value of professional football players in the Iranian league.

کلمات کلیدی:
Market Value, Player, Commercialization, Football

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1258337/