Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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An efficiency evaluation of Korean basketball league using 2010~2011 season data

2010~2011 시즌 자료를 활용한 프로농구 구단의 효율성 평가

  • Choi, Kyoung Ho (Department of Basic Medical Science, Jeonju University) ;
  • Ahn, Jeong Yong (Department of Statistics (Institute of Applied Statistics), Chonbuk National University)
  • Received : 2013.03.19
  • Accepted : 2013.05.06
  • Published : 2013.05.31
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Abstract

Basketball is one of the most popular winter sports in Korea. Korean basketball league has started in 1997 with 8 teams. Currently, there are 10 teams participating in it and the average number of spectators in 2010~2011 season reached 3,815. However, it has not been making good profit. It would be meaningful to analyze and evaluate the operational efficiency in order to provide basic information to improve the efficiency. This study used data envelopment analysis to figure out comparative efficiency of the teams in the Korean basketball league. As a result, Jeonjaland, LG, and KT were evaluated to be efficient teams and Orions, Ginseng, and Mobis were not.

한국프로농구는 1997년 8개팀으로 출범한 이래 꾸준히 발전하여 현재 10개팀으로 운영되고 있는 대표적인 겨울스포츠이다. 관중도 꾸준히 증가하여 2010~2011 시즌에는 각 경기 평균관중이 3,815명에 이르고 있다. 그러나 이와 같은 외형적인 성장에도 불구하고 경영수지 측면에서는 적자를 면치 못하고 있다. 이러한 측면에서 경영개선을 위한 기초자료 제공의 일환으로 효율성을 분석하고 평가하는 것은 매우 의미 있는 일이다. 본 연구에서는 상대적 효율성 분석 방법인 자료포락분석 기법을 이용하여 프로농구 구단의 효율성에 대해서 평가한다. 데이터분석 결과, 전자랜드, LG, KT 등이 효율적으로 평가된 반면, 오리온스, 인삼공사, 모비스 등은 효율성이 크지 못한 것으로 평가되었다.

Keywords

References

  1. Ahn, T. S. (1991). DEA as a performance evaluation method of bank branches test and comparison. Korean Management Review, 21, 71-102.
  2. Banker, R. D., Charnes, A. and Cooper, W. W. (1984). Some inefficiencies in data envelopment analysis. Management Science, 30, 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
  3. Charnes, A., Cooper, W. W. and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  4. Choi, K. H. (2006). Correlation between the performance leveling indexes and the number of spectators on Korean professional baseball and basketball league. Journal of Industry & Management, 26, 181-194.
  5. Choi, T. S. and Jang, I. H. (1992). Evaluating performance of banks using data envelopment analysis. Korean Journal of Financial Management, 9, 77-100.
  6. Farrel, M. J. (1957). The measurement of productivity efficiency. Journal of the Royal Statistical Society, 120, 253-282. https://doi.org/10.2307/2343100
  7. Fizsimmons, J. A. and Fizsimmons, M. J. (1994). Service management for competitive advantage, McGraw-Hill College Publisher, New York.
  8. Guzman, I. and Morrow, S. (2004). Measuring efficiency and productivity in professional football teams: evidence from the English Premier. Central European Journal of Operational Research, 15, 309-328.
  9. Hass, D. J. (2003). Technical efficiency in the major league soccer. Journal of Sports Economics, 4, 203-215. https://doi.org/10.1177/1527002503252144
  10. Hong, B. Y. (2003). A measurement of retail store efficiency by DEA. Korean Management Review, 32, 429-448.
  11. Kang, H. J. (2010). Productivity change and relative efficiency of professional sport teams. Journal of the Korea Contents Society, 10, 454-463. https://doi.org/10.5392/JKCA.10.10.456
  12. Kang, I. K., Kim, J. Y. and Lee, S. H. (2012). Efficiency analysis of festival using DEA window and tier models. Enterprise Management Research, 19, 63-82.
  13. Kim, H. T. (2012). An efficiency analysis of the departments of special education using data envelopment analysis, Ph.D. dissertation, Chungbu University, Chungnam.
  14. Kim, I. J. and Cho, H. B. (2003). Demand analysis of professional baseball applied by gravity model. The Korean Journal of Physical Education, 42, 471-482.
  15. Kim, J. H. (2006). A plan for improvement in financial performance of K-League. Korean Journal of Sport Management, 11, 251-263.
  16. Kim, J. H. and Kim, T. I. (2001). Efficiency evaluation and measurement of the public sector, Gibmundang, Seoul.
  17. Kim, J. Y., Kang, I. K. and Lee, S. H. (2010). Quantitative efficiency evaluation of Jeonnam regianal festival using DEA model. Enterprise Management Research, 17, 57-74.
  18. Kwak, Y. J. (1993). A study on a performance evaluation of hospitals: A data envelopment analysis(DEA) approach, Ph.D. dissertation, Chungnam National University, Chungnam.
  19. Lee, J. D. and Oh, D. H. (2012). Theory of efficiency analysis, Jiphil Media, Seoul.
  20. Lee, M. S., Kim, Y. S. and Choi, Y. J. (2012). The relationship between sport talent development environment and achievement goal in sport of college athletes. Journal of the Korean Data & Information Science Society, 23, 475-485. https://doi.org/10.7465/jkdi.2012.23.3.475
  21. Lee, Y. H. (2005). Measuring efficiency of Korean professional sports teams, Master's Dissertation, Seoul National University, Seoul.
  22. Min, D. K. (2003). Study on index for evaluation of playing ability in team sports. Journal of the Korean Data & Information Science Society, 14, 903-913.
  23. Nam, C. W. and Lee, M. S. (2011). Evaluating the efficiency of public health center- Focused on public health centers in Gyeongbuk. Journal of Municipal Administration, 24, 65-87.
  24. Park, C. and Lee, M. S. (2011). Association analysis between sports talent test scores and KOSTASS scores. Journal of the Korean Data & Information Science Society, 22, 57-64.

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