Performance Evaluation of Tour de France Cycling Teams using Data Envelopment Analysis
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, w...
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Veröffentlicht in: | International Journal of Sport Finance 2013-08, Vol.8 (3), p.236-257 |
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creator | Rogge, Nicky Van Reeth, Daam Van Puyenbroeck, Tom |
description | 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. |
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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.</abstract><pub>Fitness Information Technology</pub></addata></record> |
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title | Performance Evaluation of Tour de France Cycling Teams using Data Envelopment Analysis |
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