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A performance evaluation of Major League Baseball teams: An integrated social network and data envelopment analysis

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  • An‐Pang Wang
  • Che‐Wei Chang
  • Juin‐Ming Tsai
  • Shiu‐Wan Hung

Abstract

An organisation's position within a network is known to influence its performance. This study proposes a novel evaluation model, incorporating social networking variables, to measure 30 Major League Baseball (MLB) teams' performances. Using the data envelopment analysis (DEA) technique, the empirical results of this study show that inefficiencies are due to purely technical rather than scale effects. The results of a sensitivity analysis indicated that the betweenness centrality had a higher level of influence on each team's performance than on the salaries paid. If the betweenness centrality was not considered, five of the teams considered to be technically efficient would become inefficient.

Suggested Citation

  • An‐Pang Wang & Che‐Wei Chang & Juin‐Ming Tsai & Shiu‐Wan Hung, 2021. "A performance evaluation of Major League Baseball teams: An integrated social network and data envelopment analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(6), pages 1421-1434, September.
    • Handle: RePEc:wly:mgtdec:v:42:y:2021:i:6:p:1421-1434
    DOI: 10.1002/mde.3316
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    1. Demetrios Vakratsas & Aneel Keswani & David Stolin, 2021. "Advertising persuasion in dual markets," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(1), pages 239-245, January.
    2. Lawrence M. Kahn, 1993. "Managerial Quality, Team Success, and Individual Player Performance in Major League Baseball," ILR Review, Cornell University, ILR School, vol. 46(3), pages 531-547, April.
    3. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64(3), pages 242-242.
    4. Thomas Sexton & Herbert Lewis, 2003. "Two-Stage DEA: An Application to Major League Baseball," Journal of Productivity Analysis, Springer, vol. 19(2), pages 227-249, April.
    5. Morten T. Hansen, 2002. "Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies," Organization Science, INFORMS, vol. 13(3), pages 232-248, June.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Giuditta Prato & Daniel Nepelski, 2014. "Global technological collaboration network: network analysis of international co-inventions," The Journal of Technology Transfer, Springer, vol. 39(3), pages 358-375, June.
    8. Aurélie Corne & Olga Goncalvez & Nicolas Peypoch, 2020. "Evaluating the performance drivers of French ski resorts: a hierarchical approach," Post-Print hal-03120172, HAL.
    9. Carlos Pestana Barros & Stephanie Leach, 2006. "Performance evaluation of the English Premier Football League with data envelopment analysis," Applied Economics, Taylor & Francis Journals, vol. 38(12), pages 1449-1458.
    10. Cooper, W.W. & Ruiz, José L. & Sirvent, Inmaculada, 2009. "Selecting non-zero weights to evaluate effectiveness of basketball players with DEA," European Journal of Operational Research, Elsevier, vol. 195(2), pages 563-574, June.
    11. 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.
    12. Minh‐Anh Thi Nguyen & Ming‐Miin Yu, 2020. "Decomposing the operational efficiency of major cruise lines: A network data envelopment analysis approach in the presence of shared input and quasi‐fixed input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1501-1516, December.
    13. Benoit Dervaux & Gary Ferrier & Herve Leleu & Vivian Valdmanis, 2004. "Comparing French and US hospital technologies: a directional input distance function approach," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1065-1081.
    14. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    15. Scott, John, 1988. "Social Network Analysis and Intercorporate Relations," Hitotsubashi Journal of commerce and management, Hitotsubashi University, vol. 23(1), pages 53-68, December.
    16. John L. Fizel & Michael P. D'Itri, 1997. "Managerial Efficiency, Managerial Succession and Organizational Performance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 18(4), pages 295-308.
    17. Hung, Shiu-Wan & Wang, An-Pang, 2012. "Entrepreneurs with glamour? DEA performance characterization of high-tech and older-established industries," Economic Modelling, Elsevier, vol. 29(4), pages 1146-1153.
    18. Aurélie Corne & Olga Goncalves & Nicolas Peypoch, 2020. "Evaluating the performance drivers of French ski resorts: A hierarchical approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 389-405, April.
    19. Wen-Jhan Jane & Wei-Hsin Kong & Yi-Hsiue Wang, 2010. "Individual efficiency and club performance: a panel analysis of professional baseball," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(5), pages 363-372.
    20. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    21. Giuditta De Prato & Daniel Nepelski, 2012. "Global R&D network. A network analysis of international R&D centres," JRC Research Reports JRC79478, Joint Research Centre, revised Nov 2012.
    22. Herbert Lewis & Thomas Sexton, 2004. "Data Envelopment Analysis with Reverse Inputs and Outputs," Journal of Productivity Analysis, Springer, vol. 21(2), pages 113-132, March.
    23. Loet Leydesdorff, 2007. "Betweenness centrality as an indicator of the interdisciplinarity of scientific journals," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(9), pages 1303-1319, July.
    24. Kevin Morgan, 1997. "The Learning Region: Institutions, Innovation and Regional Renewal," Regional Studies, Taylor & Francis Journals, vol. 31(5), pages 491-503.
    25. Karl W. Einolf, 2004. "Is Winning Everything?," Journal of Sports Economics, , vol. 5(2), pages 127-151, May.
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