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

Nicky Rogge (), Daam Van Reeth () and Tom Van Puyenbroeck
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Nicky Rogge: Hogeschool-Universiteit Brussel/Katholieke Universiteit Leuven
Daam Van Reeth: Hogeschool-Universiteit Brussel
Tom Van Puyenbroeck: Hogeschool-Universiteit Brussel/Katholieke Universiteit Leuven

International Journal of Sport Finance, 2013, vol. 8, issue 3, 236-257

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.

Keywords: data envelopment analysis; Tour de France; cycling; team types; performance evaluation; robust order-m (search for similar items in EconPapers)
JEL-codes: L83 (search for similar items in EconPapers)
Date: 2013
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