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Strategic measure of competitiveness for ranked data


  • Andrew J. Rohm

    (Northeastern University, College of Business Administration, 360 Huntington Avenue, 219 Hayden Hall, Boston, MA 02115, USA)

  • Sangit Chatterjee

    (Northeastern University, College of Business Administration, 360 Huntington Avenue, 219 Hayden Hall, Boston, MA 02115, USA)

  • Mohamed Habibullah

    (Northeastern University, College of Business Administration, 360 Huntington Avenue, 219 Hayden Hall, Boston, MA 02115, USA)


This study offers a method of evaluating the stability of ranks of a data vector over time. In particular, we study improvement of a process observed over time where the data is ranked. The degree of competition at a major tennis championship (Wimbledon) as well as how trends in the level of competition have changed over time is studied. A metric for shifts in competitiveness and a new statistical methodology is proposed. The findings suggest that competitiveness at Wimbledon has been extremely high. The study offers implications for the sport of tennis as well as an approach to measuring competitive dynamics that can be applied to other contexts. Copyright © 2004 John Wiley & Sons, Ltd.

Suggested Citation

  • Andrew J. Rohm & Sangit Chatterjee & Mohamed Habibullah, 2004. "Strategic measure of competitiveness for ranked data," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(2), pages 103-108.
  • Handle: RePEc:wly:mgtdec:v:25:y:2004:i:2:p:103-108
    DOI: 10.1002/mde.1111

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    Cited by:

    1. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.

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