نوع مقاله : مقاله پژوهشی

نویسندگان

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

2 استادیار مدیریت ورزشی، دانشگاه اصفهان

3 دانشیار مدیریت ورزشی، دانشگاه اصفهان

چکیده

هدف از انجام پژوهش حاضر، تبیین و پیاده‌سازی مدل ترکیبی کارت امتیازی متوازن و تحلیل پوششی داده‌ها در ارزیابی عملکرد و رتبه‌بندی هیئت‌های ورزشی بود. محدودة مطالعاتی هیئت‌های ورزشی فعال استان اصفهان در سال 1396 بودند که براساس فرمول DMUs ≥3×(input + output)، 12 هیئت ورزشی به‌عنوان نمونة مطالعاتی تعیین شدند. برای تعیین شاخص‌ها، مصاحبه‌هایی با خبرگان انجام شد؛ براین‌اساس، 19 شاخص کلی تدوین شدند و درقالب پرسش‌نامه‌ای در دو بخش به 20 نفر از کارشناسان حوزة پژوهش ارائه شدند تا در بخش اول، شاخص‌ها در چهار منظر کارت امتیازی متوازن تعیین شوند و در بخش دوم که با طیف پنج‌مقیاسی فازی طراحی شده بود، میزان اهمیت هر شاخص مشخص شود. شاخص‌هایی که در مناظر فرایندهای داخلی و رشد و یادگیری تعیین شده بودند، به‌عنوان توانمندسازها (ورودی مدل) و شاخص‌های تعیین‌شده در مناظر مالی و مشتری به‌عنوان نتایج (خروجی مدل) درنظر گرفته شدند. روایی ابزار براساس تطابق با مدل لاوشه انجام شد. پس از پیاده‌سازی مدل کارت امتیازی متوازن و تحلیل پوششی داده‌ها؛ هیئت‌های تکواندو، کاراته، شطرنج و دوومیدانی براساس کارایی بالاترین رتبه را به خود اختصاص دادند. ارزیابی متوازن و حفظ تعادل بین جنبه‌های کارت امتیازی متوازن، خطیبودن مدل، جامع‌نگری، انعطاف‌پذیری مدل و قدرت تفکیک بالا از مزایای مدل پیشنهادی هستند؛ بنابراین، با توجه به این برتری‌ها، بهره‌گیری از فرایند تبیین‌شده می‌تواند در ارزیابی عملکرد و رتبه‌بندی هیئت‌های ورزشی بسیار کارآمد باشد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Definition and Implementation of the Combined Model of BSC-DEA in the Sport Boards’ Performance Evaluation and Ranking

نویسندگان [English]

  • Khatereh Karami 1
  • Mehdi Salimi 2
  • Mohammad Soltan Hosseini 3

1 Ph.D. Candidate in Sport Management, Islamic Azad University Isfahan (Khorasgan) Branch

2 Assistant Professor of Sport Management, University of Isfahan

3 Associated Professor of Sport Management, University of Isfahan

چکیده [English]

The purpose of the present study is to define and implement the combined model of BSC-DEA in the sport boards’ performance evaluation and ranking. The study extent was limited to the active sport boards in Isfahan in 2017. Twelve of these boards were selected as the study sample based on the formula, DMUs ≥ 3×(input + output). To determine the indices, some interviews have been conducted with the experts. Accordingly, 19 total indices were compiled and given to 20 research experts in this field in the form of a questionnaire in two parts. In the first part, the indices were determined in 4 prospects of balanced scorecards and in the second part, they were designed in a 5-scale phase spectrum to clarify the importance of each index. Those indices present in the processes of the internal prospective, growth, and learning, were regarded as the empowerments (model`s input), determined indices and customer and financial prospects as the results (model`s output). Instrument validity was carried out based on the agreement with Lawshe`s model. After implementing BSC-DEA model, taekwondo, karate, chess, track and field boards respectively received the highest rank based on their effectiveness. Paralleled evaluation as well as maintenance of the balance between BSC prospect, the linear model, having a holistic view, model flexibility, and high separation ability were the proposed model`s benefits; therefore, according to these preferences, the use of the mentioned process can be efficient in performance evaluation and ranking of the sport boards.

کلیدواژه‌ها [English]

  • Performance Evaluation
  • Efficiency
  • Balanced Score Card (BSC)
  • Sport Boards
  1. Azimi, M., Vosoughi, Sh., & Mirie Lavasani, S. M. (2017). Investigating the application of balanced scorecard modeling on the performance of immune management system, hygiene, and environment. Iran`s Working Health Monthly, 2, 1-13. (Persian).
  2. Azar, A., Zarei. M., & Anvari Rostami, A. (2012). Paralleled performance evaluation with a focus on BSC indices, tile and ceramic companies of Yazd City. Research in Operation and Its Applications, 1(32), 63-79. (Persian).
  3. AbtahiNia, A., Mirkazemi, A. S., & Keshtidar, M. (2013). Optimizing the performance evaluation of the universities` educational training offices with mixed approaches BSC, EFQM and DEA. Research in University Sports, 3, 27-52. (Persian).
  4. Adabi Firoozjah, J. (2012). Determining the main state offices` effectiveness ministry of youth and sports using data envelopment analysis approach. (Unpublished doctoral dissertation). Tarbiat Moalem University, Tehran. (Persian).
  5. Azizi, B. (2004). Evaluating the efficiency of the 19th centers education of Tehran in order to facilities allocate using DEA. (Unpublished master’s thesis). Shahid Beheshti University, Tehran. (Persian).
  6. Aslani, S., Mohammadi, S., & skandari, S. (2012). Measuring efiiciency and ranking of countires in the 2012 olampics game using data envelopment analysis (DEA). International Journal of Sport Studies, 7, 69-378.
  7. Asmild, M., Paradi, J. C., & Pastor, J. T. (2009). Centralized resource allocation BCC models. Omega, 37(1), 9-40.
  8. Basso, A., Casarin, F., & Funari, S. (2018). How well is the museume performing? A joint use of DEA and BSC to Measure the Preformance of Museums. Omega, 81, 67-84.
  9. Bai, B., & Huang, Y. T. (2011). Applied study on balanced scorecard in college sports stadiums management. Journal of Harbin Harbin Institute of Physical Education, 29(4), 79-81.
  10. Badau, D., Camarda, A., Serbanoiu, S., Virgil, T., & Bondoc, D. (2007). Modern methods of performance management implementation in sports for all. Recent Advances in Management, Marketing, Finances, 2(4), 83-90.
  11. Brown, M. F., Stilwell, J., & Makinney, M. (2005). The ethical foundation of performance measurement and management. Public Management, 87(5), 22-5.
  12. Chung, C. C., Chao, L. C., Chen, C. H., & Lou, S. J. (2016). A balanced scorecard of sustainable management in the Taiwanese bicycle industry: Development of performance indicators and importance analysis. Sustainability, 8(518), 1-21.
  13. Chen, S. H., Yang, C. C., & Shiau, J. Y. (2006). The application of balanced scorecard in the performance evaluation of higher education. The TQM Journal, 18(2), 190-205.
  14. Daneshmandi, H. (2016). The design and implementation of development strategies and model for gymnastics in Iran by balance scorecard approach. (Unpublished doctoral dissertation). Payame Noor University, Tehran. (Persian).
  15. Dielman, C., Hennersdeoof, J., & Lehmann, L. (2018). Data envelopment analysis of urban efficiency-Interpretative methods to make DEA a heuristic tool. Ecological Indicators, 84, 607-18.
  16. Escuer, M., & cebrian, L. (2010). Measurement of the efficiency of football teams in the Champions League. Managerial and Decision Economics, 31(6), 373-86.
  17. Engle Golf Management, (2007). Balance scorecard. Available at:http://www.Englegolfmanagement.Com/balancescorecard.html.
  18. Gholam, R. A., & Sharma, S. K. (2014). Cricket team selection using data envelopment analysis. European Journal of Sport Science, 14, 369-76.
  19. Hosseini, Sh., Hamidi, M., Qorbaniyan Rajabi, A., & Sajjadi, S. A. (2013). Identifying the weakness, strengths, and opportunities of discovering the talented sportsmen in championship spports of Islamic Republic of Iran and its shortcomings and challenges. Sports Management, 17, 29-54. (Persian).
  20. Hami, M. (2013). The effectiveness of Iranian judo staff using data envelopment analysis (DEA). (Unpublished doctoral dissertation). Islamic Azad University, Science and Research Branch, Tehran. (Persian).
  21. Haas, D. J. (2004). Technical efficiency in the Major League soccer. Journal of Sports Economics, 4(3), 203-15.
  22. Jafari, E., Ehsani, M., Khabiri, M., & Momeni, M. (2009). Designing a performance evaluation system for college of physical education and sport sciences of Iran. Sports Management, 2, 51-71. (Persian).
  23. Jardin, M. (2010). Efficiency of French football clubs and its dynamics, University of Rennes. Munich Personal Repec Archive, (13), 28-198.
  24. Khodadad Hosseini, S. H., & Azizi, Sh. (2012). Comprehensive approach strategic management and planning (Vol. 1). Tehran: Saffar Publication. (Persian).
  25. Kochi, F. (2011). Compiling the performance evaluating indices of physical fitness groups. (Unpublished master’s thesis). Guilan University, Guilan. (Persian).
  26. Kaplan, R., & Norton, D. (2011). Implementation achievement, linking strategy to operations to achieve competitive advantage. (M. R. Atefi, translator). Tehran: Nab Publishers. (Persian).
  27. Kamal, M., Subhi, A., & Harbi, A. (2000). Optimization of staff numbers in the process industries: An application of DEA. International Journal of Manpower, 21(1), 47-60.
  28. Li, F., Zhu, Q., & Liang, L. (2018). Allocating a fixed cost based on a DEA-game cross efficiency approach. Expert Systems with Applications, 96, 196-207.
  29. Lesakova, L., & Dubcova, K. (2016). Knowledge and use of the balanced scorecard method in the businesses in the Slovak Republic. Procedia-Social and Behavioral Sciences, 230, 39–48.
  30. Landy, A., & Farr, H. (2010). Criteria for evaluating high school coaches, IAA, 32(1), 14-5.
  31. Lee, Y. H. (2009). Evaluating management efficiency of Korean professional teams using data envelopment analysis. International Journal of Applied Sports Sciences, 21(2), 93-112.
  32. Mirfakhraddini, S. H., Peymanfar, M. H., Khatibi Aqda, A., & Ali Mohammadi, H. (2013). Evaluating the performance of the sports organizations using the consistent BSC-TOPSIS model. (Case study: General directorate physical education of Yazd province). Sports Management, 16, 77-96. (Persian).
  33. Mohammadi, L., Honary, H., & Afshari, M. (2016). Performance evaluation of sports federations based on EFQM: A case study in boating federation. Sport Management Studies. 35, 163-82. (Persian).
  34. Mohammadi, A. (2010). Presentation of the mathematical model for the participating countries in Qatar 2006 games. Olympics, 3(51), 7-19. (Persian).
  35. Modak, M., Pathak, K., & Ghosh, K. (2017). Performance evaluation of outsourcing decision using a BSC and Fuzzy AHP approach: A case of the Indian coal mining organization. Resources Policy, 52, 181-91.
  36. Nasirzadeh, A. M., Goudarzi, M., & Farahani, A. (2013). Designing and explaining the executive model of the wrestling federation strategy of the Islamic Republic of Iran with the BSC approach. Applied Research at Sport Management, 4, 31-42. (Persian).
  37. Nezhad Sajjadi, S. A., & Soleimani‌ Damaneh, J. (2014). Identifying and prioritizing the performance evaluation indices of Iran`s sports federations using AHP Model. Sports Management Studies, 179-92. (Persian).
  38. Najafi, N., Aryanejad, M., Hosseinzadeh-Lotfi, F., & Ebnerasoul, S. (2008). Evaluating the effectiveness by combining two system of measurement BSC and DEA. researcher, Management Quarterly, 11, 1-10. (Persian).
  39. Nion, P. R. (2011). Balanced assessment, step by step guide to designing and implementing. (P. Bakhtiari, translator). Tehran: Industrial Management Organization. (Persian).
  40. National Management and Planning Organization. (2000). Explaining the concept, role and structure of management performance evaluation. Tehran: Performance Assessment and Improvement of Management Office. (Persian).
  41. Pakzad, A. (2016). Applying model A in higher education performance evaluation: Case study in educational groups of Shahid Bahonar University of Kerman. Proceddings of the 8th National Conference Data Envelopment Analysis (1-5). Ardabil: Islamic Azad University, Ardabil of Beranch. (Persian).
  42. Pour Mohammad, M. (2005). The optimal use of the results of the evaluation system of the educational staff in the education of Markazi province. Paper presented ay the 7th National Conference on Physical Education. Tabriz University, Tabriz. (Persian).
  43. Peters, G. (2014). The big idea: Balanced scorecards. Business Strategy Review, 25(1), 59-68.
  44. Panicker, S., & Seshadri, V. (2013). Devising a balanced scorecard to determine standard chartered bank's performance: A case study. International Journal of Business Research and Development, 2(2), 35-42.
  45. Rezania, K., Mokhatab Rafiee, F., & Shiroyezad, H. (2013). Evaluating the performance of Isfahan province athletic staff using data envelopment analysis with several selected approaches. Paper presented at the Second National Conference of Industry and System Engineering, Islamic Azad University, Najaf Abad Branch. (Persian).
  46. Rodríguez Bolívar, M. P., López Hernández, A. M., & Ortiz Rodríguez, D. (2010). Implementing the balanced scorecard in public sector agencies: An experience in municipal sport services. Academia, 45, 116-39.
  47. Skandari Dastgiri1, S., Amirtash, A. M., & Safania, A. M. (2018). Relationship between the performance components evaluation in the efficiency of sport federations. Applied Resear of Sport Management, 4, 19-26. (Persian).
  48. Suleimani Damien, J., Hamidi, M., & Sajjadi, S. N. (2014). Performance evaluation of footballs` best team leagues using a combining model AHP and DEA. Sport Management Studies, 22, 105-26. (Persian).
  49. Shabani Bahar, G., Poursoltani Zarandi, H., & Zarean, H. (2013). Performance evaluation of the physical education research center and sports sciences of ministry of research and technology. Sport Management Studies, 20, 37-62. (Persian).
  50. Safaei, R. (2011). Evaluation of the efficiency of agricultural bank branches in Mazandaran province Using data envelopment analysis technique. Paper presented at the Third National Conference on Data Envelopment Analysis. Islamic Azad University, Firoozkooh. (Persian).
  51. Stolzer, A. J., Friend, M. A., Truong, D., Tuccio, W. A., & Aguiar, M. (2018). Measuring and evaluating safety management system effectiveness using data envelopment analysis. Safety Science, 104, 55-69.
  52. Shabani Bahar, G., Poursalatani Zarandi, H., & Zareian, H. (2013). Evaluation of the performance of the Physical Education and Sport Sciences research Institute of the Ministry of Science, Research and Technology from 1998-1999. Sport Management Studies, 30, 37-62. (Persian).
  53. Simson, R. (2005). Performance measurement & control systems for implementing strategy. Prenntice Hall.
  54. Sutherland, J., & Canwell, D. (2004). Key concept in operation management. Palgrave: Maclillan.
  55. Tahari Mehrjardi, M. H., Zanjiri, S. M., Babaei Meybodi, H., & Zarei Mahmoud Abadi, M. (2012). Expanding a non-parametric model to evaluate the performance of the countries participated in Olympic. Sports Management, 14, 177-96. (Persian).
  56. Tiedemann, T., & Francksen, T. (2011). Assessing the performance of German Bundesliga football players: A non-parametric metafrontrier. Central European journal of Operations Research, 19(4), 571-87.
  57. Varmazyar, M., Dehghanbaghi, M., & Afkhami, M. (2016). A novel hybrid MCDM model for performance evaluation of research and technology organization basead on BSC approach. Evaluation and Program Planning, 58, 125-40.
  58. Winand, M., Zintz, T., Bayle, E., & Robinson, L. (2010). Organizational performance of Olympic sport governing bodies: Dealing with measurement and priorities. Managing Leisure, 15(4), 279-307.
  59. Wade, D. C., & Seiford, L. M. (2009). Data envelopment analysis (DEA) – Thirty years on. European Journal of Operation Research, 192(1), 1-17.
  60. Wade, D. C. (2006). Introduction to data envelopment analysis and its uses: With DEA solver software and references by William W. Cooper, Lawrence M. Seiford, Kaoru Tone. Interfaces, 36(5), 474-5.
  61. Zarei Mahmoud Abadi, M., Tahari Mehrjardi, M. H., & Mohebbi, H. (2013). Provide a new model for assessing the relative performance of the participating countries of the international gateway. Sport Management Studies, 17, 105-24.