The Impact of AI Travel Planner Tourism Information Quality on Continuance Intention: Focusing on Generation Z College Students

Purpose: This study aimed to examine the structural relationship among AI travel planner tourism information quality, perceived usefulness, satisfaction, and continuance intention by applying the modified Post Acceptance Model(PAM) centered on Generation Z. Methods: This study conducted a survey of Generation Z college students who have experience using AI travel planners in travel apps. The survey period was approximately two weeks from November 2024, and a convenience sampling method was used to secure a sample of 152 people and conduct an analysis. Results: The empirical analysis results of this study are as follows. First, the AI travel planner tourism information quality factors were derived as completeness and appropriateness. Second, the AI travel planner tourism information quality factors completeness and appropriateness were found to affect perceived usefulness. Third, the perceived usefulness of the AI travel planner was found to affect satisfaction. Fourth, satisfaction was found to affect continuance intention. These results highlight the importance of providing high-quality, reliable, personalized information through AI travel planners to improve user engagement, satisfaction, and retention. Conclusion: The significance of this study lies in the fact that it systematically verified the travel plan derivation process of AI travel planner users by confirming the influence of AI travel planner tourism information quality on perceived usefulness, satisfaction, and continuance intention.