Worldwide Hospitality and Tourism Themes · 2025 · 11 citations · 43 references
ManagementMarketingTourism ManagementDestination ManagementGuest Experience ManagementTourismSmart Destination ManagementSustainable TourismTourism Destination ManagementTourism MarketingTourist BehaviorVisitor Experience ManagementCommercial OpportunitiesOperational Efficiency DesignPartial Least Squares Structural Equation ModelingSmart City TechnologiesSmart Destination PlanningSustainable Visitor ExperienceTourist Destination SustainabilityVisitor Experience
Purpose This paper aims to establish a comprehensive structural framework for smart stadiums, examining their integration as key elements of smart tourism destinations and investigating their impact on visitors' intention to visit. Design/methodology/approach The study reviews existing literature and corporate sources to identify emerging smart tools and determine key dimensions of smart stadiums. A research model was developed, and partial least square-structural equation modeling (PLS-SEM) was employed to analyze the relationships between these dimensions and their impact on visit intention. Findings The proposed framework identifies key components such as sustainability, commercial opportunities, safety and security, customer service, entertainment and engagement and operational efficiency. The analysis indicates that sustainability has the highest impact on visit intention, followed by commercial opportunities and safety and security. Customer service and entertainment significantly enhance the visitor experience, while operational efficiency, though important, has a lower direct impact on visit intention. Practical implications Implementing this framework can improve fan engagement, resource management and sustainability in stadium operations, thereby enhancing the overall tourism appeal of host cities. Originality/value This study offers a structured approach to incorporating smart technologies in stadiums, emphasizing their role in advancing smart tourism destinations and providing empirical insights into the factors influencing visit intention.
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Partial least squares structural equation modeling (PLS-SEM)
Joe F. Hair, Marko Sarstedt, Lucas Hopkins et al. · European Business Review · 2014 · 11K citations
DMO online platforms: Image and intention to visit
Sebastián Molinillo, Francisco Liébana‐Cabanillas, Rafael Anaya‐Sánchez et al. · Tourism Management · 2017 · 344 citations · Full text