نوع مقاله : مقاله پژوهشی

نویسندگان

گروه مدیریت ورزشی، دانشکدۀ تربیت بدنی و علوم ورزشی، دانشگاه تهران، تهران، ایران

10.22059/jsm.2019.267668.2168

چکیده

مقدمه: با توجه به اهمیت بازی‌های آسیایی، هدف از این پژوهش پیش‌بینی تعداد مدال‌های ایران در بازی‌های آسیایی 2022 هانگژو با استفاده از سری زمانی است.
روش پژوهش: روش پژوهش تحقیق توصیفی – تحلیلی و نوع پژوهش کاربردی است. جامعۀ آماری تحقیق شامل مدال‌های کسب‌شده توسط ایرانیان از اولین دوره (1951 دهلی‌نو) تا آخر هجدهمین دورۀ بازی‌های آسیایی (2018 جاکارتا) است که به‌دلیل محدودیت جامعۀ آماری، جامعه و نمونه در این تحقیق برابر است. گردآوری اطلاعات به‌صورت کتابخانه‌ای صورت گرفت. با استفاده از منابع کتابخانه‌ای شامل کتاب، پایان‌نامه، مقالات داخلی و خارجی و همچنین سایت‌های اینترنتی، به مرور منابع در زمینۀ پیش‌بینی نتایج ورزشی پرداخته شد. برای تجزیه‌وتحلیل داده‌ها از آمار توصیفی برای ترسیم جداول و نمودارها و برای پیش‌بینی بازی آسیایی آینده از روش آماری سری زمانی استفاده شد.
یافته‌ها: توجه به تحلیل‌های سری زمانی نتایج تحقیق نشان داد که ایران در بازی‌های آسیایی 2022 هانگژو 58 مدال خواهد گرفت.
نتیجه‌گیری: مدیران و تصمیم‌گیران ورزشی باید روی رشته‌های برتر مانند کشتی، وزنه‌برداری، رشته‌های غیرفعال و رشته‌های ورزشی زنان سرمایه‌گذاری کنند تا ایران در بازی‌های آسیایی آینده به مدال‌های بیشتری دست یابد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Predicting the Number of Iran’s Medals in the 2022 Hangzhou Asian Games by Using the Time Series

نویسندگان [English]

  • Fereshteh Mohebbi
  • Seyed Nasrollah Sajadi
  • Afsar Jafari

Department of Sport Managment, Faculty of Physical Education and Sport Sciences, University of Tehran, Tehran

چکیده [English]

Introduction: Considering the importance of the Asian Games, the purpose of this research was to predict the number of medals Iran will win in the 2022 Asian Games in Hangzhou using time series.
Methods: The research method is descriptive analytical and the type of research is applied. The statistical population of the study included the medals that acquired by Iranian from the first course (New Delhi-1951) to eighteenth course (Jakarta -2018) of Asian games. The collection of information was carried out in the form of library that includes books, magazine, journal, Iranian and foreign journal, net and site, with this sources we predicted the result of the sport. In order to test and analyze the data in this research, a descriptive statistic was used to draw tables and charts to predict the medals of Asian games in Hangzhou by 2022 by using the time series statistic.
Results: The result of this study with time series statistics showed that Iran in Hangzhou 2022 Asian games will receive fifty-eight medals and will be in the seventh place in Hangzhou 2022 Asian games.
Conclusion: Sports managers and decision-makers should invest in top disciplines such as: wrestling, weightlifting, non-active disciplines and women's sports disciplines, so that Iran can win more medals in the upcoming Asian Games.

کلیدواژه‌ها [English]

  • Asian Games
  • Decision
  • Medal
  • Predict
  • Time Series
 
Amara, M. (2005). 2006 Qatar Asian Games: A ‘modernization’project from above? Sport in society.‏
Bahrami, Shahab, & Asgari. (2019). Predicting the performance of Asian countries in the Olympic Games based on past performance. Sports Management Studies, 54(11), 191-204. (In Persian).
Bernard, A. B., & Busse, M. R. (2004). Who wins the Olympic Games: Economic resources and medal totals? Review of economics and statistics, 86(1), 413-417.‏
Bunker, R. P., & Thabtah, F. (2019). A machine learning framework for sport result prediction. Applied computing and informatics, 15(1), 27-33.‏
Čustonja, Z., & Škorić, S. (2011). Winning medals at the Olympic games–does Croatia have any chance? Kinesiology, 43(1.), 107-114.‏
Eidi, & Askari. (2014). Evaluation and analysis of Iran's performance in the Asian Games compared to other competitors. Organizational behavior management studies in sports, 1(1), 73-84. (In Persian).
Eidi, & Yousefi. (2016). SWAT analysis of hosting major sports events in Iran. Sports Management Studies, 8(39), 171-188. (In Persian).
Forrest, D., Sanz, I., & Tena, J. D. D. (2010). Forecasting national team medal totals at the Summer Olympic Games. International Journal of Forecasting, 26(3), 576-588.‏
Gachapinifar, Nazli (2006). Medals in Asian Games. The first specialized conference on sports management. Amol University. (In Persian).
Ghadiri Moghadam, A., Gholampour Fard, M. M., & Nasir Zadeh, F. (2010). Investigating the ability of Altman and Ehlson's bankruptcy prediction models in predicting the bankruptcy of companies admitted to the stock exchange. Monetary & Financial Economics, 16(28). (In Persian).
Ghasabian gilani v, .farzi, saeed. (2017). A network model for predicting the results of the Premier League football matches. National Conference on Computer Engineering and Information Technology. (In Persian).
Golbar jS, Gharakhanlou, R, Barmaki S, Khazani A, Khorshidi-Hosseini M. A. (2015). (In Persian).
Comparison of Age Average of Iranian Medal Winners in Olympic and Asian Games to their Counterparts from Selected Countries. Sport Science. ; 3(4):69-76. (In Persian).
Haji Ahmadi, Rozita (2013). The relationship between countries' performance in the Asian Games and their performance in previous major sports events. Master's Thesis in Sports Management. Payam Noor University. (In Persian).
Hamtinejad, M., Mehr Ali, Ramzanian, Qolizadeh, Mohammad Hassan, Shafiei, & Amin. (2013). Predicting the success of the countries participating in the Asian Games based on macroeconomic, political, social and cultural variables. Sports Sciences Quarterly, 5(11), 57-86. (In Persian).
Hanarjojo, Mukhtar (2017), prediction of swimming competition records in the 2012 London Olympic Games. Master's thesis. Sports Management Department, Gilan University. (In Persian).
Liu, F., Shi, Y., & Najjar, L. (2017). Application of design of experiment method for sports results prediction. Procedia computer science, 122, 720-726.‏
Lucas, J. W., & Lovaglia, M. J. (2005). Can academic progress help collegiate football teams win? The Sport Journal, 8(3).
Mohammadi.Ali. (2009). Providing Mathematical Model for Ranking of Asian Participating Countries 2006 Qatar. Sport management journal. 18(3):7-19. (In Persian).
‏Molai, Fatemeh (2018). Predicting the results of the athletics competitions of the 2012 London Olympic Games using the gray model. Master's thesis. Department of Sports Management. North University. (In Persian).
Narimani, Fatemeh (2015). Evaluation and analysis of the performance of Iranian athletes in the Asian Games. Master's thesis. Department of Sports Management. University of Tehran. (In Persian).
Nemati, Sadegh (2012). Prediction of men's rowing records in the 2016 Rio de Janeiro Olympics. Master's Thesis, Department of Sports Management, Gilan University. (In Persian).
Rabbani, & Karmi. (2009). Investigating the trend of the number of frost days in North Khorasan province. Natural Geography, 4(1), 85-94. (In Persian).
Rostami, Jila, Fatahi, & Sohaili. (2016). Modeling and estimation of returns of Tehran Stock Exchange using dynamic models. Financial Economics, 17(62), 185-216. (In Persian).
Sajjadi, Seyed Nasrullah, Safari, Saat Chian, & Rasouli. (2013). Prioritizing factors affecting the success of Iran's sports caravan in the 2010 Guangzhou Asian Games. Contemporary researches in sports management, 3(5), 1-14. (In Persian).
Shafi Kurdshuli S. (1390) Presenting a conceptual model for predicting the success of countries in the Asian Games. Gilan University. (In Persian).
Shariati-Faizabadi, & Guderzi. (2012). the relationship between demographic and economic indicators and the success rate of countries participating in the 2010 Guangzhou Asian Games. Physiology and management research in sports, 10, 35-48. (In Persian).
Shariati-Faizabadi, & Guderzi. (2012). the relationship between demographic and economic indicators and the success rate of countries participating in the 2010 Guangzhou Asian Games. Physiology and management research in sports, 10, 35-48. (In Persian).
Zahedi, fatemeh. (2011). identify effective features in predicting times series using rocket transitions and smart grids. Master thesis, Islamic Azad University. (In Persian).
Zareian, Elahi, Sajjadi, Seyed Nasrallah, Pedram, & Mirmohsen. (2016). Factors predicting the success of participating countries in the Olympic Games. Sports Management Studies, 8(35), 137-162. (In Persian).