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Designing tech-ready recreational sport systems: a conceptual analysis of unified and modular architectures
1Department of Physical Education, Sports Technology Laboratory, Seoul National University, Seoul, Republic of Korea.
Abstract:
Recreational sport represents the largest and most diverse segment of global sport participation, yet sport science and coaching research remains largely centered on elite performance contexts and technology-driven interventions. As a result, many recreational sport programs lack coherent system-level structures that support long-term participation, adaptability across skill levels, and scalable innovation. This conceptual analysis synthesizes literature on recreational sport systems, participation models, staged development frameworks, and technology adoption theory to advance a system-oriented perspective on recreational sport design. Drawing on established participation frameworks-including recruitment-retention-transition models, the Developmental Model of Sport Participation, and Long-Term Athlete Development-recreational sport is conceptualized as a dynamic system rather than a collection of isolated instructional practices. Participation is framed as a staged and modular process shaped by organizational capacity, program architecture, and participant diversity. The analysis further integrates theories of technology adoption and diffusion to examine how field-based sport technologies can be embedded within recreational sport systems. Rather than treating technology as a standalone solution, it is positioned as a modular system component whose effectiveness depends on alignment with program structure, participant readiness, and pedagogical intent. By integrating participation theory, system architecture, and technology readiness, this paper proposes a conceptual and hypothesis-generating framework for designing recreational sport systems that are inclusive, adaptable, and resilient, and for evaluating emerging sport technologies within broader participation ecosystems. The framework is exploratory rather than empirically validated, and its proposed relationships require future longitudinal testing using observable indicators of participation continuity, sustained adoption, dropout, participant readiness, and organizational capacity.
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