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Performance evaluation of Tour de France cycling teams using Data Envelopment Analysis

Author

Listed:
  • Rogge, Nicky

    (Hogeschool-Universiteit Brussel (HUB))

  • Van Reeth, Daam

    (Hogeschool-Universiteit Brussel (HUB))

  • Van Puyenbroeck, Tom

    (Hogeschool-Universiteit Brussel (HUB), KULeuven)

Abstract

This paper uses a robust (order-m) Data Envelopment Analysis approach to evaluate the efficiency of Tour de France cycling teams for the period 2007- 2011. Since there are multiple ways in which 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 of these 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.

Suggested Citation

  • Rogge, Nicky & Van Reeth, Daam & Van Puyenbroeck, Tom, 2012. "Performance evaluation of Tour de France cycling teams using Data Envelopment Analysis," Working Papers 2012/12, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    • Handle: RePEc:hub:wpecon:201212
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    Cited by:

    1. Jean-François Mignot, 2022. "Strategic Behavior in Road Cycling Competitions," Sports Economics, Management, and Policy, in: Daam Van Reeth (ed.), The Economics of Professional Road Cycling, edition 2, chapter 0, pages 227-251, Springer.
    2. Yi-Chieh Chen & Lin-Huan Hu & Wan Chen Lu & Jei-Zheng Wu & Jiun-Jen Yang, 2021. "Multiple Criteria Decision-Making for Developing an International Game Participation Strategy: A Novel Application of the Data Envelopment Analysis (DEA) Two-Stage Efficiency Process," Mathematics, MDPI, vol. 9(14), pages 1-16, July.

    More about this item

    Keywords

    Data Envelopment Analysis; Tour de France; Cycling; Team Types; Performance Evaluation; Robust order-m;
    All these keywords.

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