“Why did no one recognize this person as a talent?”: Advancing selection practices through a comparative analysis of sports and business

Abstract

Selection represents a central challenge in both sports and business. Despite apparent differences between these domains (e.g., age at selection, number of available positions), fundamental parallels exist: both share the overarching goal of identifying individuals who have to potential to contribute to future organizational success. Despite this common objective, systematic cross-domain exchange remains largely absent. The present study therefore aimed to explore and compare selection processes across both domains from practical and scientific perspectives, identifying similarities, differences, and potential for cross-domain knowledge transfer. Semi-structured interviews were conducted with 12 participants: coaches for national team squads (n = 4), corporate recruiters (n = 4), sports science researchers (n = 2), and business psychology researchers (n = 2). Data were analyzed using qualitative content analysis. Key differences emerged in requirement analysis implementation, assessment approaches (holistic vs. isolated), systematization and structuring of assessments, and normative orientation of scientific discourse. Commonalities included emphasis on motivation and person-fit considerations, as well as the need for enhanced theory-practice collaboration. Sports practitioners demonstrated reflective awareness of current limitations but lacked systematic observation protocols and clear decision rules. Business selection showed greater procedural standardization, but underutilized work samples despite strong validity evidence. Findings suggest that sports may benefit from systematic requirement analyses, structured observation protocols, and bias-awareness training adapted from the business domain. Conversely, business could learn from sports’ extensive use of work samples and developmental assessment perspectives. Cross-domain learning potential exists when respecting fundamental domain-specific differences and adapting principles accordingly.