Research on the influencing factors of tourist experience in smart city landscape based on SEM and fsQCA

Purpose The purpose of this study is to investigate the impact of usability, intelligence, ecology, interactivity, interest, ecology and culture in the landscape of smart city parks on tourist experience and explore the synergistic effects of configurations formed from multiple dimensions on improving the overall tourist experience. Design/methodology/approach The data were collected through field research and internet questionnaires, and participants came from all regions of China. Drawing on 622 valid data samples, structural equation modeling and fuzzy-set qualitative comparative analysis were used for empirical evaluation. Findings The findings reveal that ease of use, ecology, interactivity and enjoyment positively influence the tourist experience. Additionally, three distinct configurations emerged as determinants of tourist experiences: high ease of use, high ecological focus and a combined ease of use-ecology approach. This study highlights the synergistic effects of multiple factors, emphasizing that effective integration enhances the overall tourist experience. Originality/value This study, grounded in the technology acceptance model and the stimulus-organism-response theory, develops a research framework to identify factors influencing the tourist experience through both single- and multi-factor configurations.