Data envelopment analysis and cross-efficiency evaluation in the management of sports teams: The assessment of game performance of players in the Spanish handball league

Journal of Sport Management

Volumn 27, Issue 3, 2013, Pages 217-229

  Gutiérrez, Óscar ^a   Ruiz, José L ^a  

^a MIGUEL HERNÁNDEZ UNIVERSITY   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84883493550     PISSN: 08884773     EISSN: 1543270X     Source Type: Journal    
DOI: 10.1123/jsm.27.3.217     Document Type: Article

References (51)

1. Alp, I. (2006). Performance Evaluation of Goalkeepers of the World Cup. G.U. Journal of Science, 19(2), 119-125.
2. Anderson, T.R., Hollingsworth, K., & Inman, L.B. (2002). The fixed weighting nature of a cross-evaluation model. Journal of Productivity Analysis, 17(3), 249-255
3. Anderson, T.R., & Sharp, G.P. (1997). A new measure of baseball batters using DEA. Annals of Operations Research, 73, 141-155
4. Banker, R.D., Charnes, A., & Cooper, W.W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30, 1078-1092
5. Barros, C.P., & Santos, A. (2003). Productivity in sports organisational training activities: A DEA study. European Sport Management Quarterly, 3(1), 46-65
6. Barros, C.P., & Leach, S. (2006). Performance evaluation of the English Premier Football League with data envelopment analysis. Applied Economics, 38(12), 1449-1458
7. Barros, C.P., Assaf, A., & Sá-Earp, F. (2010). Brazilian Football League Technical Efficiency: A Simar and Wilson Approach. Journal of Sports Economics, 11(6), 641-651
8. Barros, C.P., & García del Barrio, P. (2011). Productivity drivers and market dynamics in the Spanish first division football league. Journal of Productivity Analysis, 35(1), 5-13
9. Boscá, J.E., Liern, V., Martínez, A., & Sala, R. (2009). Increasing offensive or defensive efficiency? An analysis of Italian and Spanish football. Omega, 37, 63-78
10. Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-444
11. Chen, W.C., & Johnson, A.L. (2010). The dynamics of performance space of Major League Baseball pitchers 1871-2006. Annals of Operations Research, 181(1), 287-302
12. Cooper, W.W., Ramón, N., Ruiz, J.L., & Sirvent, I. (2011). Avoiding large differences in weights in cross-efficiency evaluations: application to the ranking of basketball players. Journal of Centrum Cathedra, 4(2), 197-215.
13. Cooper, W.W., Ruiz, J.L., & Sirvent, I. (2009). Selecting nonzero weights to evaluate effectiveness of basketball players with DEA. European Journal of Operational Research, 195, 563-574
14. Cooper, W.W., Ruiz, J.L., & Sirvent, I. (2011). Choices and uses of DEA Weights. In Handbook On Data Envelopment Analysis (William W. Cooper, Lawrence W. Seiford and Joe Zhu, Eds.) Springer, 93-126.
15. Cooper, W.W., Seiford, L.M., & Tone, K. (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software (2nd ed.). New York: Springer Science & Business Publishers.
16. Dawson, P., Dobson, S., & Gerrard, B. (2000). Estimating coaching efficiency in professional team sports: Evidence from English association football. Scottish Journal of Political Economy, 47(4), 399-421
17. Doyle, J.R., & Green, R.H. (1994). Strategic choice and data envelopment analysis: Comparing computers across many attributes. Journal of Information Technology, 9, 61-69
18. Dyson, R.G., Allen, R., Camanho, A.S., Podinovski, V.V., Sarrico, C.S., & Shale, E.A. (2001). Pitfalls and protocols in DEA. European Journal of Operational Research, 132, 245-259
19. Einolf, K.W. (2004). Is Winning Everything?: A Data Envelopment Analysis of Major League Baseball and the National Football League. Journal of Sports Economics, 5(2), 127-151
20. Espitia-Escuer, M., & García-Cebrián, L.I. (2004). Measuring the Efficiency of Spanish First-Division Soccer Teams. Journal of Sports Economics, 5(4), 329-346
21. Fizel, J.L., & D'Itri, M.P. (1996). Estimating managerial efficiency: The case of College basketball coaches. Journal of Sport Management, 10, 435-445.
22. Fizel, J.L., & D'Itri, M.P. (1997). Managerial Efficiency, managerial succession and organizational performance. Managerial and Decision Economics, 18, 295-308
23. Fizel, J.L., & D'Itri, M.P. (1999). Firing and hiring of managers: Does efficiency matter? Journal of Management, 25, 567-585
24. Fried, H.O., Lambrinos, J., & Tyner, J. (2004). Evaluating the performance of professional golfers on the PGA, LPGA and SPGA tours. European Journal of Operational Research, 154, 548-561
25. Fried, H.O., & Tauer, L.W. (2011). The impact of age on the ability to perform under pressure: golfers on the PGA tour. Journal of Productivity Analysis, 35(1), 75-84
26. García-Sánchez, I.M. (2007). Efficiency and effectiveness of Spanish football teams: a three-stage-DEA approach. Central European Journal of Operations Research, 15(1), 21-45
27. González-Gómez, F., & Picazo-Tadeo, A.J. (2010). Can We Be Satisfied With Our Football Team? Evidence from Spanish Professional Football. Journal of Sports Economics, 11(4), 418-442
28. Haas, D.J. (2003). Technical Efficiency in the Major League Soccer. Journal of Sports Economics, 4(3), 203-215
29. Haas, D.J., Kocher, M.G., & Sutter, M. (2004). Measuring efficiency of German football teams by data envelopment analysis. Central European Journal of Operations Research, 12, 251-268.
30. Hraste, M., Dizdar, D., & Trninić, V. (2008). Experts Opinion about System of the Performance Evaluation Criteria Weighted per Positons in the Water Polo Game. Collegium Antropologicum, 32, 851-861.
31. Lovell, C.A.K., & Pastor, J.T. (1999). Radial DEA models without inputs or without outputs. European Journal of Operational Research, 118(1), 46-51
32. Lozano, S., Villa, G., Guerrero, F., & Cortés, P. (2002). Measuring the performance of nations at the Summer Olympics using data envelopment analysis. The Journal of the Operational Research Society, 53, 501-511
33. Prieto, A.M., & Zofio, J.L. (2001). Evaluating effectiveness in public provision of infrastructure and equipment: The case of Spanish municipalities. Journal of Productivity Analysis, 15(1), 41-58
34. Ramón, N., Ruiz, J.L., & Sirvent, I. (2011). Reducing differences between profiles of weights: A "peer-restricted" cross-efficiency evaluation. Omega, 39(6), 634-641
35. Ramón, N., Ruiz, J.L., & Sirvent, I. (2012). Common sets of weights as summaries of DEA profiles of weights: with an application to the ranking of professional tennis players. Expert Systems with Applications, 39, 4882-4889
36. Ruiz, J.L., Pastor, D., & Pastor, J.T. (to appear).Assessing professional tennis players using data envelopment analysis (DEA). Journal of Sports Economics.
37. Sexton, T.R., & Lewis, H.F. (2003). Two-stage DEA: An application to major league baseball. Journal of Productivity Analysis, 19, 227-249
38. Sexton, T.R., Silkman, R.H., & Hogan, A.J. (1986). Data envelopment analysis: Critique and extensions. In R.H. Silkman (Ed.), Measuring efficiency: An assessment of data envelopment analysis (pp. 73-105). San Francisco: Jossey-Bass.
39. Soares de Mello, J.C., Angulo-Meza, L., & Branco da Silva, B.P. (2009). A ranking for the Olympic Games with unitary input DEA models. IMA Journal of Management Mathematics, 20, 201-211
40. Sueyoshi, T., Ohnishi, K., & Kinase, Y. (1999). A Benchmark Approach for Baseball Evaluation. European Journal of Operational Research, 115, 429-448
41. Swalgin, K. (1998). The basketball evaluation system: a computerized factor weighted model with measures of validity. The International Scientific Journal of Kinesiology and Sport, 30, 31-37.
42. Tenga, A., Holme, I., Ronglan, L.T., & Bahr, R. (2010a). Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches. Journal of Sports Sciences, 28, 245-255
43. Tenga, A., Holme, I., Ronglan, L.T., & Bahr, R. (2010b). Effect of playing tactics on goal scoring in Norwegian professional soccer. Journal of Sports Sciences, 28, 237-244
44. Trninić, S., & Dizdar, D. (2000). System of the Performance Evaluation Criteria Weighted per Positions in the Basketball Game. Collegium Antropologicum, 24, 217-234.
45. Trninić, S., Dizdar, D., & Dezman, B. (2002). Pragmatic Validity of the Combined Model of Expert System for Assessment and Analysis of the Actual Quality Overall Structure of Basketball Players. Collegium Antropologicum, 26, 199-210.
46. Trninić, S., Perica, A., & Dizdar, D. (1999). Set of Criteria for the Actual Quality Evaluation of the Elite basketball Players. Collegium Antropologicum, 23, 707-721.
47. Trninić, M., Trninić, S., & Papić, V. (2009). Development Management Model of Elite Athletes in Team Sports Games. Collegium Antropologicum, 33(2), 363-372.
48. Ueda, T., & Amatatsu, H. (2009). Determination of bounds in DEA assurance region method - its application to evaluation of baseball players and chemical companies -. Journal of the Operations Research Society of Japan, 52(4), 453-467.
49. Volz, B. (2009). Minority Status and Managerial Survival in Major League Baseball. Journal of Sports Economics, 10(5), 522-542
50. Wu, J., Zhou, Z., & Liang, L. (2010). Measuring the Performance of Nations at Beijing Summer Olympics Using Integer-Valued DEA Model. Journal of Sports Economics, 11(5), 549-566
51. Zhang, D., Li, X., Meng, W., & Liu, W. (2009). Measuring the performance of nations at the Olympc Games using DEA models with different preferences. The Journal of the Operational Research Society, 60, 983-990