Siamak Seyfi , Myung Ja Kim , Amin Nazifi , Samantha Murdy , Tan Vo-Thanh
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Understanding tourist barriers and personality influences in embracing generative AI for travel planning and decision-making
As generative artificial intelligence (GAI) technologies become increasingly integrated into the travel industry, understanding the barriers tourists face in adopting these innovative technologies for their travel planning and decision-making has growingly become a critical area of focus. Drawing on the theoretical frameworks of innovation resistance and Big Five personality traits, this study surveyed potential travelers in Korea and the US to assess their personality characteristics, innovation resistance, and perceptions of AI-generated travel recommendations. The findings, derived from structural equation modeling, multi-group analysis, and fuzzy-set qualitative comparative analysis, reveal that variations in personality traits significantly affect tourists’ reluctance to adopting these technologies. Overall, the results of this study contribute to the theoretical understanding of acceptance of GAI and offer practical insights for tourism industry stakeholders, enabling them to tailor their offerings to different personality types and enhance the travel experience for a wide range of travelers.
期刊介绍：
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.
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