Exploring the Mechanisms of Well-Being Occurrence Among Event Tourists: Mixed Empirical Evidence from Positive...

This study explores the well-being dimensional components of event tourists and their identification processes in validating the well-being occurrence mechanism of event tourism and the correlation between the well-being of event tourists and the frequency and length of event tourism.

This study adopted a sequential mixed-methods design that followed a pragmatic paradigm through a photo interview with event tourists and festival travel organizers (N=16). The qualitative research method provided evidence to explore the framework of content and dimensional identification of event tourists' well-being according to Seligman's PERMA model. The quantitative research phase (N=475) focused on identifying and validating the PERMA model in the event tourist well-being dimension through descriptive statistical analysis and validated factor analysis, followed by a one-way analysis of covariance to explore the effects of the frequency and endurance of FSE tourism.

The results show quantitative differences in the well-being dimensions and framework presentation of the PERMA model (Positive emotion, Engagement, Relationship, Meaning, and Achievement). R (relationship) and A (achievement) are identified and validated as dimensions of well-being outcomes for event tourists, while single-day or short trips of 2-3 days were most significant for event tourists' perceived well-being.

This study provides an empirical argument, thus providing an empirical argument for uncovering the deeper influencing and exhibiting factors of the PERMA theoretical framework and a research paradigm for PERMA theory in more tourism behaviors and psychology. Second, this study provides an in-depth explanation of the five dimensions of well-being in the PERMA model. The findings show the salience of the relationship and achievement in FSE tourism well-being, providing theoretical insight into existing studies integrating positive psychology models for in-depth tourism well-being research.