Develops a model explaining adaptive engagement behaviors in older adults using smart tourism services, suggesting new design insights.
Key Points
The study aims to explain how older adults engage with smart tourism services through a multi-condition model.
Conducted 50 in-depth interviews with older Chinese adults (users and non-users)
Employed a grounded theory approach for data collection
Utilized open, axial, and selective coding to develop the model
Engagement behavior arises from interactions among five condition clusters: user-related, technological, tourism-specific, social mechanisms, and experiential feedback.
Identified three adaptive outcomes: active use, limited use, and non-use of smart tourism services.
Found that social support, norms, economic incentives, and feedback affect engagement trajectories.