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Observational analysis identifies classification of race elements and improves satisfaction in runners, suggesting optimization tools for organizers.
The practice of running has significantly expanded, and competition among races is very important. To be attractive, it is important to understand the elements that contribute to runners’ satisfaction. Our research proposes an optimization tool for organizing races to increase participant satisfaction and optimize costs. We use the Tetra-class method, which is based on the analysis of attributes associated with race organization and follows a multi-method approach: (1) observations of different races, (2) individual interviews with experts, (3) post-experience data collection. After identifying the attributes that form satisfaction, a classification of “basic,” “secondary,” “plus,” and “key” elements is proposed. The results allow us to identify the elements that contribute weakly or strongly to the formation of runners’ satisfaction and dissatisfaction. This research offers a dual conclusion: a better understanding of the structuring of runners’ satisfaction and managerial tools for organizers to optimize the return on investment of the services offered.
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Bourliataux‐Lajoinie et al. (2025) studied this question.
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