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The role of motivation in selection processes—comparing sports and business

Bibliographic Data

ID13130380
AuthorsBirte Brinkmöller (University of Münster, corresponding author), Dennis Dreiskämper (0000-0001-7156-9462, Institute for Sports Medicine), Oliver Höner (0000-0002-3108-1531, University of Tübingen), Bernd Strau (0000-0003-1438-6322, University of Münster)
Year2024
Volume6
Pages1463910-1463910
Publication date2024-12-02
Open AccessYes
TypeARTICLE
VenueFrontiers in Sports and Active Living (JOURNAL)
Journal identifiersISSN: 2624-9367 • E-ISSN: 2624-9367
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fspor.2024.1463910
PMID39687494
OpenAlexW4404897439
LanguageEN
Citations received1
References cited53

Talent identification and selection in sports pose significant challenges, necessitating a nuanced understanding of factors influencing athletes’ elite-level potential. While physical and physiological aspects have conventionally played roles in the selection process, also other constructs of talent development have to be considered. Various talent models have included psychological aspects, especially motivation, as either moderators or catalysts. Based on empirical evidence of the relationship between motivation and performance, different views are hold in which form motivation should be used for talent selection. Considering the hierarchical model of achievement motivation and self-determination theory, the importance of different motivational dimensions in talent selection is assessed. This study extends its focus beyond sports, exploring whether differences and similarities between sports and business in their selection processes exist. The objective is to discern whether scouts, coaches and recruiters prioritize motivational dimensions differently. Along with the statistical analyses [conjoint analysis, analytical hierarchy processes (AHP) and constant-sum procedures], this research aims to provide insights into the weighted importance of diverse motivational dimensions and their influence on the decision-intention of decision-makers. The study aims to provide exploratory insights into how motivational dimensions could inform talent selection processes by comparing different contexts. This research may offer a first step to further investigate practical applications for talent identification and selection processes with insights from other contexts

Selection (genetic algorithm · Behavioral Health and Interventions · Computer Science · Motivation and Self-Concept in Sports · Physical Education and Pedagogy · Psychology · Artificial Intelligence

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Citations per year1
Citation span2026 - 2026 (1)
Highly citedNo

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