Siamak Seyfi , Changkyu Lee , Yunkyoung Jo , Myung Ja Kim
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引用次数: 0
Abstract
The adoption of Generative Artificial Intelligence (GAI) in tourism is expanding, yet significant generational differences remain in its acceptance for travel planning and decision-making. This study, drawing on the theoretical lens of innovation resistance and generation theory, examines how generational attitudes toward technology shape perceptions of barriers to GAI adoption in tourism experiences. Using data from South Korea and the United States, the research employs Structural Equation Modeling (PLS-SEM), multi-group analysis (MGA), and fuzzy-set Qualitative Comparative Analysis (fsQCA) to uncover generational disparities in GAI acceptance. Findings reveal distinct challenges faced by different age groups, emphasizing that trust, usability, and perceived risks influence adoption patterns differently across cohorts. The study contributes to the growing theoretical discourse on GAI adoption in tourism and provides practical insights for tailoring GAI solutions to enhance user acceptance and satisfaction across generations.
期刊介绍:
Tourism Management Perspectives is an interdisciplinary journal that focuses on the planning and management of travel and tourism. It covers topics such as tourist experiences, their consequences for communities, economies, and environments, the creation of image, the shaping of tourist experiences and perceptions, and the management of tourist organizations and destinations. The journal's editorial board consists of experienced international professionals and it shares the board with Tourism Management. The journal covers socio-cultural, technological, planning, and policy aspects of international, national, and regional tourism, as well as specific management studies. It encourages papers that introduce new research methods and critique existing ones in the context of tourism research. The journal publishes empirical research articles and high-quality review articles on important topics and emerging themes that enhance the theoretical and conceptual understanding of key areas within travel and tourism management.