PURPOSE This study draws on the experience economy theory to empirically test how experiential program types (passive vs. active) from professional sport-themed pop-up stores affect sport consumers’ perceived novelty, perceived curiosity, experience intensification, and content generation. Additionally, this research examines the structural relationships leading to sport involvement and stadium attendance intention. METHODS This experimental study used a virtual experience of visiting a pop-up store themed around a professional football league in South Korea, the K-League. SPSS 27.0 and AMOS 22.0 were used to analyze 204 valid samples. Furthermore, this study employed independent sample t -tests, frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis, multivariate analysis of covariance, and structural equation modeling. RESULTS Active experiential programs had a significantly greater impact on all variables than passive experiential programs. Moreover, the path analyses revealed significant positive relationships among perceived novelty, perceived curiosity, experience intensification, content generation, sport involvement, and stadium attendance intention. CONCLUSIONS This study’s findings empirically demonstrate the significance of pop-up stores as a ‘third space’ in sport. The results also provide a foundational resource for developing detailed plans for effective experiential programs, such as professional sport-themed pop-up stores.
PURPOSE This study aimed (1) to analyze the behavioral intention and use behavior among the consumers of online home training contents via YouTube by employing the unified theory of acceptance and use of technology (UTAUT); (2) to test the moderating effects of risk perception toward the coronavirus (COVID-19) infection, and 3) to test differential impacts of generational difference across millennial and baby boom generations. METHODS A total of 400 questionnaires were distributed, and 383 samples were used for the final analysis after excluding 17 incomplete responses. Data were analyzed using the SPSS 25.0 and AMOS 22.0. RESULTS It was found that (1) the performance expectancy, the effort expectancy, and the social influence had positive effects on behavioral intention; (2)the facilitating condition had negative effects on the use behavior; (3) the behavioral intention had positive impact on the use behavior. Moreover, the risk perception toward the COVID-19 infection did not have moderating impacts on the UTAUT model, whereas generational differences did. CONCLUSIONS Our results suggest that the marketing strategy that improves exercise performance, convenience, and social influencing factors may be key to home training customers' behavioral intention and use behavior. Furthermore, home training material makers should recognize that the features and infrastructure required for the two generations are distinct and develop a separate marketing strategy for each.
