نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری مدیریت ورزشی، واحد اصفهان (خوراسگان)، دانشگاه آزاد اسلامی، اصفهان، ایران

2 استاد مدیریت ورزشی، دانشکده علوم انسانی، دانشگاه تربیت مدرس، تهران، ایران

3 دانشیار گروه مدیریت ورزشی دانشکدۀ علوم ورزشی، واحد اصفهان (خوراسگان)، دانشگاه آزاد اسلامی، اصفهان، ایران

4 دانشیار مدیریت ورزشی، دانشکده علوم انسانی، دانشگاه تربیت مدرس، تهران، ایران

چکیده

پژوهش حاضر با هدف ارائه مدل ارزش بازیکنان حرفه‌‌ای فوتبال ایران با رویکرد ساخت‌گرای نظریه داده‌بنیاد انجام شد؛ ازاین‌رو پژوهش با ماهیت اکتشافی و با هدف بسط دانش و شناخت قابلیت‌های ارزش بازیکنان حرفه ای فوتبال ایران در عرصه فوتبال انجام شد. برای ارائه مدل از یافته‌های برگرفته از کدها سعی شد که از رویکرد ساخت‌گرا در نظریه داده‌بنیاد چارمز استفاده شود. از سه فرایند همپوش در تحلیل ساخت‌‌‌‌‌‌‌‌‌‌گرای نظریه داده‌بنیاد شامل کدگذاری اولیه، متمرکزشده و نظری استفاده شد. در اجرای پژوهش، جمع‌آوری و تحلیل داده‌ها به‌طور آگاهانه هم‌زمان انجام ‌گرفت و گردآوری داده‌های اولیه به‌منظور شکل‌گیری روند جمع‌آوری مداوم داده‌ها صورت ‌گرفت. مشارکت‌کنندگان افراد آگاه به حوزه فوتبال حرفه‌ای ایران بودند که به‌طور هدفمند انتخاب شدند. براساس یافته‌ها در این مرحله از پژوهش، از حدود 220 جمله پیاده‌سازی‌شده از مصاحبه‌ها، بعد از حذف موارد تکراری و غیرمرتبط، حدود 109 کد اولیه در مرحله اول توسط پژوهشگر شناسایی و نشانه ­گذاری شد. در کدگذاری متمرکزشده، مفاهیم به هفت مقوله تقسیم شد. درنهایت در بالاترین سطح تقلیل یا ایجاز، مقوله‌های برساخت به سه طبقه کلی ارزش ویژه، ملزومات و ارزش بازار یک بازیکن تقلیل یافت که به مطلوب‌ترین شکل ممکن، مفاهیم ایجادشده در پژوهش را در سه سطح یکپارچه کرد. قیمت نهایی یا ارزش بازیکن فوتبال در لیگ برتر ایران در بازار نقل و انتقالات، براساس ارزش‌های ویژه بازیکن، ملزومات، نهادها و پیامدهای آن مشخص می‌شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Presenting the market value model of professional football players in the Iranian Premier League: A structuralist approach ground theory

نویسندگان [English]

  • Saeid Mahmoodizad Azari 1
  • Mohammad Ehsani 2
  • Rasool Nazari 3
  • Rasool Norouzi Seyed Hossini 4

1 Ph.D. Student of Sport Management Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

2 Professor, Tarbiat Modares University, Tehran, Iran

3 Associate Professor of Sport Management, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

4 Associate Professor, Tarbiat Modares University, Tehran, Iran

چکیده [English]

The present study intends to design a value model for professional players in the Iranian Football Premier League. The present study has been done with exploratory nature and with the aim of expanding the existing knowledge and understanding about capabilities in the field of football. Three overlapping processes in the structural analysis of data-based theory are: primary, centralized, and theoretical coding. In the implementation of the research, data collection and analysis was done consciously simultaneously and the initial data were collected in order to form the process of continuous data collection. Participants included people familiar with the Iranian professional football field, who were purposefully selected. Based on the findings in this stage of the research, out of about 220 sentences implemented from the interviews, after removing duplicate and unrelated items, about 109 primary codes were identified and marked by the researcher in the first stage. In centralized coding, it was divided into 7 categories. Finally, at the highest level of reduction or brevity, the categories of construction were reduced to three general categories of equity, requirements and market value of a player, which in the most desirable way, integrated the concepts created in the research into three levels. The final price or value of a football player in the Iranian Premier League in the transfer market is determined based on the player's special values, requirements and institutions and its consequences.

کلیدواژه‌ها [English]

  • value
  • player
  • football
  • model
  • data theory theory
  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. (in Persian).
  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. Arab Nermi, B., Goodarzi, M., Sajjadi, S. N., & Khabiri, M. (2018). Analysis of the status of professional sports in Iranian national television. Studies of Sports Management, (47), 17-37. (in Persian).
  4. Bagheri, M., Namian, M., Khodamradi S, Ghorbani M (2011). Evaluation and selection of Premier League football players based on financial and sports indicators, Journal of Accounting and Financial Management, Special Issue of Research Week, 1(1), 50-65.
  5. Bondarik, R., Pilatti, L. A., & Horst, D. J. (2020). Sports mega-events and overestimated promises: the case of the 2014 FIFA World Cup in Brazil. Journal of Tourism and Cultural Change, 18(3), 351-367.
  6. Baena, V. (2016). Global marketing strategy in professional sports. Lessons from FC Bayern Munich. Journal Soccer & Society, 2(30), 1-15.
  7. Charmaz K. (2019). With constructivist grounded theory you can’t hide: Social justice research and critical inquiry in the public sphere. Qualitative Inquiry, 26(2), 165-176.
  8. Chan, M. (2014). Factors to determine a football player's transfer Value-comparison to US sport. Arsenal Review, Available at: https://www.arsenalreview.co.uk/2009/07/9-factors-to-determine-football-transfer-value-fee-kaka-ronaldo-adebayor/ (NP, nd Web, 1).
  9. Espriella, R. L., & Restrepo, C. G. (2020). Research methodology and critical reading of studies grounded theory Teoría fundamentada. Revista Colombiana de Psiquiatría (English ed.), 49(2), 126-132.
  10. He, M. (2015). Exploring the relationship between football player's performance and their market value (Master᾽s thesis). Leiden Institute of Advanced Computer Science (LIACS), Netherlands.
  11. He, Y (2013). Predicting market value of soccer players using modeling techniques. Available at: https://www.stat.berkeley.edu/~aldous/Research/Ugrad/Yuan_He.pdf. (19 April 2020).
  12. Izdiar, M., Memari, J., & Mousavi, M. (2015). The equation of pricing of Iranian Premier League players. Journal of Economic Research, 51(1), 25-40. (in Persian).
  13. Jarsat Shamsabadi, P. (2010). Valuation of professional football players based on their performance, using the capital asset pricing model (CAPM) (Unpublished master᾽s thesis) University of Isfahan, Isfahan, Iran.
  14. Kazemipour, A., Akbari Yazdi, H., Mohammad Kazemi, R., & Elahi, A. (2020). Internationalization of the brand of Iranian football clubs. Sports Management Rate Studies, 10.22089 / SMRJ.2018.6278.2276. (in Persian).
  15. King, E. L., & Snowden, D. L. (2020). serving on multiple fronts: A grounded theory model of complex decision-making in military mental health care. Social Science & Medicine, 250, 342-358.
  16. Mohammad Kazemi, R. (2015). Sports -1: Commented Marketing and Social Media. In N. Hajli (Ed.), Handbook of research on integrating social media into strategic marketing (pp. 340-358- chapter 21). Hershey, PA: Business Science Reference.
  17. Mohammad Kazemi, R., Ebrahimi, S. B., & Zare, H. (2011). Simulation of dynamic pricing methods in start-up entrepreneurial businesses. Journal of Economics and Research New Trade, 5(19-20), 127-151. (in Persian).
  18. Mohammad Kazemi, R., & Hosseini, G. H., & Habibi, H. R. (2020). Applications and requirements for using the platform Crowd funding in established service-sports businesses) Case Study of Iranian Football Clubs. Entrepreneurship Development, 12(2). 282-300. (in Persian).
  19. Mohammad Kazemi, R., & Rasekh, N. (2017). Determining the key factors for success in product development in the printing industry: Case Study: Sports Print Media Printing Industry. Sports Management Studies (Research in Sports Science), 9(45), 73-92. (in Persian).
  20. Mohammad Kazemi, R., Tondnavis,, & Khyberi, M. (2011). Comparative comparison of promotion element in professional football leagues of Iran, Japan and South Korea. Business Management Perspectives Quarterly, 10(7). 137-153. (in Persian).
  21. 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), 95-109. (in Persian).
  22. Origi, A. O. (2019). Strategic drivers of sport commercialization in Kenya: a survey of football subsector. International Journal of Academic Research in Business and Social Sciences, 9(9), 1-19.
  23. Parker, D., Burns, P., & Natarajan, H (2008). Player valuations in the Indian Premier League. Frontier Economics, 116, 1-17.
  24. Rezaei Sufi, M., Farahani, A., & Shabani, A. (2017). Analysis of professional sport environment, Applied Research in Sport Management, 1(6), 107-118. (in Persian).
  25. Rezaei, S. (2016). Sports Economics, leisure and tourism (1st). Ilam: Ilam Publications: (in Persian),
  26. 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), 27-41. (in Persian)
  27. Xu, J., & Yang, R. (2019). Sports industry agglomeration and green economic growth—Empirical research based on panel data of 30 provinces and cities in China. Sustainability, 11(19), 5399.
  28. Yang, S., Xu, J., & Yang, R. (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. Sustainability, 12(3), 813.

Yiapanas, G., Thrassou, A., & Vrontis, D. (2020). An integrated, multi-agency, consumer-focused, safety management29.  approach in the sports industry. In Handbook of Research on contemporary consumerism (pp. 222-241). IGI Global.