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Nazari, Rasool, Azari, Saeid. (1399). Predicting Market Value of Iranian Football Players using Linear Modeling Techniques. سامانه مدیریت نشریات علمی, 2(1), 41-53. doi: 10.22098/rsmm.2021.1258
Rasool Nazari; Saeid Azari. "Predicting Market Value of Iranian Football Players using Linear Modeling Techniques". سامانه مدیریت نشریات علمی, 2, 1, 1399, 41-53. doi: 10.22098/rsmm.2021.1258
Nazari, Rasool, Azari, Saeid. (1399). 'Predicting Market Value of Iranian Football Players using Linear Modeling Techniques', سامانه مدیریت نشریات علمی, 2(1), pp. 41-53. doi: 10.22098/rsmm.2021.1258
Nazari, Rasool, Azari, Saeid. Predicting Market Value of Iranian Football Players using Linear Modeling Techniques. سامانه مدیریت نشریات علمی, 1399; 2(1): 41-53. doi: 10.22098/rsmm.2021.1258

Predicting Market Value of Iranian Football Players using Linear Modeling Techniques

Research in Sport Management and Marketing
دوره 2، شماره 1، خرداد 2021، صفحه 41-53    اصل مقاله (523.48 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22098/rsmm.2021.1258
نویسندگان
Rasool Nazari1؛ Saeid Azari2
1Associate Professor of Sports Management, Islamic Azad University,Isfahan (Khorasgan) Branch, Isfahan, Iran
2Ph.D. of Sport Management, Islamic Azad University,Isfahan (Khorasgan) Branch, Isfahan, Iran
چکیده
Purpose: The purpose of this study was to predict the market value of professional football players in the Iranian Premier League in the 2020-2021 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 409 people the appropriate sample size for the research was calculated based on the community sampling formula and at a 5% error level, 200 people were calculated descriptive statistics was used for analysis and multiple regression method was used for inferential analysis.
Results: 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.
کلیدواژه‌ها
Market Value؛ Player؛ Commercialization؛ Football
مراجع
References

  1. Abdi, Sh., Zangiabadi, M., & Talibpour, M. (2015). Determining the role of factors affecting the evaluation of Iranian Premier League players. Journal of Human Resource Management in Sports, 3(2), 121-136.
  2. Amir E., & Livne G. (2005). Accounting, valuation and duration of football player contract. Journal of Business finance and Accounting, 32(3-4), 549-586.
  3. Bondarik, R., Luiz Alberto, P., & Diogo José, H. (2020). Sports mega events and overestimated promises: the case of the 2014 FIFA World Cup in Brazil, Journal of Tourism and Cultural Change, doi: 10.1080/14766825.2020.1727488
  4. Baena,V. (2016).Global marketing strategy in professional sports. Lessons from FC Bayern Munich. Journal Soccer & Society. (30)2, 1-15.
  5. Chan, M. (2014). Factors to determine a football player's transfer Value-comparison to US Sport" Arsenal review, N.P.,n. d. Web. 1 May.
  6. Deldar, E., Kargar, G.A., & Ghafouri, F. (2016). Investigation of economic barriers to privatization of professional football clubs in the country, bi-monthly sports management and development, 5(2), 9. (Persian).
  7. Depken, C.A., & Rajasekhar, R. (2010). Open Market valuation of Player Performance in Cricket: Evidence from the Indian Premier League. Available at SSRN 15931961-21.
  8. Forker, P. (2005). Discussion of accounting, valuation of football player contracts. Journal of Business Finance and Accounting, 32(3-4), 578-5,8
  9. He, M. (2015). Exploring the Relationship Between Football Player's Performance and Their Market Value. MASTERS THESIS, Leiden Institute of Advanced Computer Science (LIACS).
  10. HE, Y. (2013). Predicting Market Value of Soccer Players Using Modeling Techniques. Berkeley.edu.1-15
  11. Izdiar, M., Memari, J., & Mousavi, M. (2015). The equation of pricing of Iranian Premier League players, Journal of Economic Research 51(1), 25-40.
  12. Jarsat Shamsabadi, P. (2010). Valuation of professional football players based on their performance, using the capital asset pricing model (CAPM). Master Thesis in Financial Management, Faculty of Administrative Sciences and Economics, University of Isfahan, 125
  13. Morrow, S. (1999). The new business of football: Accountability and finance in football. Mac milldam Business 1-12.
  14. Nazari, R., Hajlou, A. A., & Azimzadeh, S. M. (2019). Comprehensive identification of the excellence model of Iran's national football brand, new approaches in sports management, 7(24), 109-95. (Persian)
  15. Origi, A. O., & Jared, D. (2019). Strategic Drivers of Sport Commercialization in Kenya: A Survey of Football Subsector, International Journal of Academic Research in Business and Social Sciences Vol. 9, No. 9, September, 2019, E-ISSN: 2222-6990.
  16. Rezaei Sufi, M., Farahani, A., & Shabani, A. (2017). Analysis of professional sport environment, Applied Research in Sport Management, Volume 6(1), 118-107. (Persian)
  17. Rezaei, S. (2017). Football club's revenue model design: a grounded theory approach, Applied Research in Sport Management, 6(3), 116-101. (Persian)
  18. Sadeghi, H., Asgharpour, H., & Golchinfar, N. (2009). Estimation of the demand function of watching the Iranian Football Premier League, Quarterly Journal of Economic Research, (3), 41-27. (Persian)
  19. Sultani, A. (2009). Investing in football players. Conference on Accounting and Financial Management, Faculty of Administrative Sciences and Economics, University of Isfahan, 5.
  20. Tunaru, R., Clark. E., & Viney H. (2005). An Option Pricing Framework for Valuation of Football Players, Review of Financial Economics, 14(3), 281-295
  21. Van, D., & Berg, E. (2011) The Valuation of Human Capital in the Football Player Transfer Market Thesis Financial Economics Erasmus School of Economics.
  22. Xu, J.F., & Yang, R.Y. (2019). Sports industry agglomeration and green economic growth—Empirical research based on panel data of 30 provinces and cities in China. Sustainability, 19, 5399.
  23. Yang, S., Jinfu X., & Ruoyu Y. (2020). Research on Coordination and Driving Factors of Sports Industry and Regional Sustainable Development—Empirical Research Based on Panel Data of Provinces and Cities in Eastern China.
  24. Yiapanas, G., Alkis, T., & Demetris, V. (2020). An Integrated, Multi-Agency, Consumer-focused, Safety Management Approach in the Sports Industry, Handbook of Research on Contemporary Consumerism, 20.
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