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A new measure of baseball batters using DEA

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Cited by:

  1. Manuel Espitia-Escuer & Lucà a Isabel Garcà a-Cebrià n, 2004. "Measuring the Efficiency of Spanish First-Division Soccer Teams," Journal of Sports Economics, , vol. 5(4), pages 329-346, November.
  2. Isidoro Guzmán & Stephen Morrow, 2007. "Measuring efficiency and productivity in professional football teams: evidence from the English Premier League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(4), pages 309-328, November.
  3. Srinivas K. Reddy & Antonie Stam & Per J. Agrell, 2015. "Brand Equity, Efficiency and Valuation of Professional Sports Franchises: The Case of Major League Baseball," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(1), pages 63-89, January.
  4. Chih-Hai Yang & Hsuan-Yu Lin & Chiang-Ping Chen, 2014. "Measuring the efficiency of NBA teams: additive efficiency decomposition in two-stage DEA," Annals of Operations Research, Springer, vol. 217(1), pages 565-589, June.
  5. Wen-Chih Chen & Andrew Johnson, 2010. "The dynamics of performance space of Major League Baseball pitchers 1871–2006," Annals of Operations Research, Springer, vol. 181(1), pages 287-302, December.
  6. Herbert F. Lewis & Thomas R. Sexton & Kathleen A. Lock, 2007. "Player Salaries, Organizational Efficiency, and Competitiveness in Major League Baseball," Journal of Sports Economics, , vol. 8(3), pages 266-294, June.
  7. Thomas Sexton & Herbert Lewis, 2012. "Measuring efficiency in the presence of head-to-head competition," Journal of Productivity Analysis, Springer, vol. 38(2), pages 183-197, October.
  8. Torben Tiedemann & Tammo Francksen & Uwe Latacz-Lohmann, 2011. "Assessing the performance of German Bundesliga football players: a non-parametric metafrontier approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 571-587, December.
  9. Karl W. Einolf, 2004. "Is Winning Everything?," Journal of Sports Economics, , vol. 5(2), pages 127-151, May.
  10. Hamrick Jeff & Rasp John, 2011. "Using Local Correlation to Explain Success in Baseball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(4), pages 1-29, October.
  11. Dieter J. Haas, 2003. "Technical Efficiency in the Major League Soccer," Journal of Sports Economics, , vol. 4(3), pages 203-215, August.
  12. Irmak Acarlar & Harun Kınacı & Vadoud Najjari, 2014. "A New Measure for Detecting Influential DMUs in DEA," Journal of Optimization, Hindawi, vol. 2014, pages 1-7, October.
  13. Steven Levkoff & R. Russell & William Schworm, 2012. "Boundary problems with the “Russell” graph measure of technical efficiency: a refinement," Journal of Productivity Analysis, Springer, vol. 37(3), pages 239-248, June.
  14. Dieter J. Haas, 2003. "Productive efficiency of English football teams-a data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(5), pages 403-410.
  15. Debnath Roma Mitra & Malhotra Ashish, 2015. "Measuring Efficiency of Nations in Multi Sport Events: A case of Commonwealth Games XIX," Naše gospodarstvo/Our economy, Sciendo, vol. 61(1), pages 25-36, March.
  16. Feng Li & Qingyuan Zhu & Liang Liang, 2019. "A new data envelopment analysis based approach for fixed cost allocation," Annals of Operations Research, Springer, vol. 274(1), pages 347-372, March.
  17. Lewis, Herbert F. & Lock, Kathleen A. & Sexton, Thomas R., 2009. "Organizational capability, efficiency, and effectiveness in Major League Baseball: 1901-2002," European Journal of Operational Research, Elsevier, vol. 197(2), pages 731-740, September.
  18. Zbranek, Peter, 2013. "Data Envelopment Analysis as a Tool for Evaluation of Employees’ Performance," Acta Oeconomica et Informatica, Faculty of Economics and Management, Slovak Agricultural University in Nitra (FEM SPU), vol. 16(1), pages 1-10, February.
  19. Plácido Moreno & Sebastián Lozano, 2014. "A network DEA assessment of team efficiency in the NBA," Annals of Operations Research, Springer, vol. 214(1), pages 99-124, March.
  20. Isidoro Guzmán-Raja & Manuela Guzmán-Raja, 2021. "Measuring the Efficiency of Football Clubs Using Data Envelopment Analysis: Empirical Evidence From Spanish Professional Football," SAGE Open, , vol. 11(1), pages 21582440219, February.
  21. Manuel Espitia-Escuer & Lucia Isabel Garcia-Cebrián, 2010. "Measurement of the efficiency of football teams in the Champions League," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 373-386.
  22. Nikolaos, Chatzistamoulou & Theodoros, Antonakis & Konstantinos, Kounetas, 2020. "Salary cap and National Basketball Association teams' productive performance. A two stage Data Envelopment Analysis approach under a metatechnology framework," MPRA Paper 98811, University Library of Munich, Germany.
  23. Anthony Glass & Karligash Kenjegalieva & Jason Taylor, 2015. "Game, set and match: evaluating the efficiency of male professional tennis players," Journal of Productivity Analysis, Springer, vol. 43(2), pages 119-131, April.
  24. Fabio Antonio Sartori Piran & Alaércio De Paris & Daniel Pacheco Lacerda & Luis Felipe Riehs Camargo & Rosiane Serrano & Ricardo Augusto Cassel, 2020. "Overall Equipment Effectiveness: Required but not Enough—An Analysis Integrating Overall Equipment Effect and Data Envelopment Analysis," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(2), pages 191-206, June.
  25. Arnab Adhikari & Adrija Majumdar & Gaurav Gupta & Arnab Bisi, 2020. "An innovative super-efficiency data envelopment analysis, semi-variance, and Shannon-entropy-based methodology for player selection: evidence from cricket," Annals of Operations Research, Springer, vol. 284(1), pages 1-32, January.
  26. Nikos Chatzistamoulou & Kounetas Kostas & Antonakis Theodor, 2022. "Salary Cap, Organizational Gap, and Catch-up in the Performance of NBA Teams: A Two-Stage DEA Model Under Heterogeneity," Journal of Sports Economics, , vol. 23(2), pages 123-155, February.
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