了解游客在旅游规划和决策中采用生成式人工智能的障碍和个性影响

IF 9.9 1区管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM

International Journal of Hospitality Management Pub Date : 2025-01-15 DOI:10.1016/j.ijhm.2025.104105

Siamak Seyfi , Myung Ja Kim , Amin Nazifi , Samantha Murdy , Tan Vo-Thanh

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引用次数: 0

摘要

随着生成式人工智能（GAI）技术越来越多地融入旅游业，了解游客在采用这些创新技术进行旅行计划和决策时面临的障碍日益成为关注的一个关键领域。利用创新阻力和五大人格特征的理论框架，本研究调查了韩国和美国的潜在旅行者，以评估他们的个性特征、创新阻力以及对人工智能生成的旅行建议的看法。通过结构方程模型、多群体分析和模糊集定性比较分析发现，人格特质的差异对游客不愿采用这些技术有显著影响。总体而言，本研究的结果有助于对GAI接受度的理论理解，并为旅游业利益相关者提供实践见解，使他们能够根据不同的个性类型定制他们的产品，并为更广泛的旅行者提升旅行体验。

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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.

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来源期刊

International Journal of Hospitality Management HOSPITALITY, LEISURE, SPORT & TOURISM-

CiteScore

21.20

自引率

9.40%

发文量

218

审稿时长

85 days

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.