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Performance Evaluation of Tour de France Cycling Teams Using Data Envelopment Analysis

Author

Listed:
  • Nicky Rogge

    (Hogeschool-Universiteit Brussel/Katholieke Universiteit Leuven)

  • Daam Van Reeth

    (Hogeschool-Universiteit Brussel)

  • Tom Van Puyenbroeck

    (Hogeschool-Universiteit Brussel/Katholieke Universiteit Leuven)

Abstract

This paper uses a robust (order-m) DEA approach to evaluate the efficiency of Tour de France cycling teams. Since there are multiple ways this event can be successful for a cycling team, we take it that managers face strategic input decisions regarding team and rider characteristics. Specifically, we distinguish between ranking teams, sprint teams, and mixed teams, and compute for each team an efficiency score as due to the team’s performance relative to similarly classified teams and an efficiency score that is the consequence of the team type. We find that ranking teams are generally more efficient than other types of cycling teams.

Suggested Citation

  • Nicky Rogge & Daam Van Reeth & Tom Van Puyenbroeck, 2013. "Performance Evaluation of Tour de France Cycling Teams Using Data Envelopment Analysis," International Journal of Sport Finance, Fitness Information Technology, vol. 8(3), pages 236-257, August.
    • Handle: RePEc:jsf:intjsf:v:8:y:2013:i:3:p:236-257
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    More about this item

    Keywords

    data envelopment analysis; Tour de France; cycling; team types; performance evaluation; robust order-m;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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