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Managerial Efficiency, Managerial Succession and Organizational Performance

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Author Info

  • John L. Fizel

    (Penn State Erie, School of Business, Erie, PA, USA)

  • Michael P. D'Itri

    (Penn State Erie, School of Business, Erie, PA, USA)

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    Abstract

    Data envelopment analysis (DEA) is used to create a measure of managerial efficiency in an attempt to reassess the conflicting theories concerning the impact of organizational performance on manager succession, and the counter-theories concerning the impact of manager succession on organizational performance. The analysis uses data for 147 college basketball teams from 1984 to 1991. The results indicate that winning, not efficiency, is the key criterion used in determining managerial retention. Yet when managers of losing teams are dismissed the teams tend to do even worse. If, however, the efficiency of the new manager is greater than that of the former, the disruptive effect of succession is minimized. Because administrators appear to focus on winning, not efficiency, they will often select new managers who are less efficient than departed managers. These results are unique to this literature and indicate promise for the use of DEA in analyses of the internal efficiencies of organizations. © 1997 John Wiley & Sons, Ltd.

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    Bibliographic Info

    Article provided by John Wiley & Sons, Ltd. in its journal Managerial and Decision Economics.

    Volume (Year): 18 (1997)
    Issue (Month): 4 ()
    Pages: 295-308

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    Handle: RePEc:wly:mgtdec:v:18:y:1997:i:4:p:295-308

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    Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/7976

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    Cited by:
    1. Olie,René & Heijltjes,Mariëlle G. & Glunk,Ursula, 2003. "Continuity And Renewal At The Top: Performance Effects Of The Level, Extent, Type And Frequency Of Top Management Team Changes," Research Memoranda 059, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
    2. repec:sae:jospec:v:11:y:2010:i:4:p:418-442 is not listed on IDEAS
    3. Dobson, Stephen & Goddard, John, 2003. "Persistence in sequences of football match results: A Monte Carlo analysis," European Journal of Operational Research, Elsevier, vol. 148(2), pages 247-256, July.
    4. Halkos, George & Tzeremes, Nickolaos, 2011. "Applying conditional DEA to measure football clubs’ performance: Evidence from the top 25 European clubs," MPRA Paper 31278, University Library of Munich, Germany.
    5. Francisco González Gómez & Andrés J. Picazo Tadeo, 2008. "Can we be satisfied with our football team? Evidence from spanish professional football," ThE Papers 08/11, Department of Economic Theory and Economic History of the University of Granada..
    6. Audas, Rick & Dobson, Stephen & Goddard, John, 2002. "The impact of managerial change on team performance in professional sports," Journal of Economics and Business, Elsevier, vol. 54(6), pages 633-650.
    7. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    8. Barros, Carlos Pestana & Garcia-del-Barrio, Pedro, 2008. "Efficiency measurement of the English football Premier League with a random frontier model," Economic Modelling, Elsevier, vol. 25(5), pages 994-1002, September.

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