期刊名：Tourism and Hospitality

期刊主页：https://www.mdpi.com/journal/tourismhosp

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1. Artificial Intelligence Research in Tourism and Hospitality Journals: Trends, Emerging Themes, and the Rise of Generative AI

旅游与酒店业期刊中的人工智能研究：趋势、新兴主题和生成式人工智能的兴起

Wai Ming To et.al.

http://www.mdpi.com/2673-5768/6/2/63

2. Application of Artificial Intelligence in the Tourism Sector: Benefits and Challenges of AI-Based Digital Tools in Tourism Organizations of Lithuania, Latvia, and Sweden

人工智能在旅游业的应用：立陶宛、拉脱维亚和瑞典旅游组织使用基于人工智能的数字工具的优势与挑战

Gita Šakyte-Statnicke et.al.

http://www.mdpi.com/2673-5768/6/2/67

3. Artificial Intelligence in Tourism Through Chatbot Support in the Booking Process—An Experimental Investigation

旅游业通过聊天机器人在预订过程中实现人工智能——一项实验调查

Kirsten Wüst et.al.

http://www.mdpi.com/2673-5768/6/1/36

4. Sentiment Analysis of Berlin Tourists’ Food Quality Perception Through Artificial Intelligence

通过人工智能分析柏林游客对食品质量的看法

Omid Shafiezad et.al.

http://www.mdpi.com/2673-5768/5/4/78

5. Innovative Teaching of AI-Based Text Mining and ChatGPT Applications for Trend Recognition in Tourism and Hospitality

基于人工智能的文本挖掘和 ChatGPT 应用的创新教学，用于旅游和酒店业的趋势识别

Li-Shiue Gau et.al.

http://www.mdpi.com/2673-5768/5/4/71

6. Navigating Employee Perceptions of Service Robots: Insights for Sustainable Technology Adoption in Hospitality

了解员工对服务机器人的看法：酒店业可持续技术应用的见解

Yuntugalage Wu et.al.

http://www.mdpi.com/2673-5768/6/2/113

7. Unveiling the Nuances: How Fuzzy Set Analysis Illuminates Passenger Preferences for AI and Human Agents in Airline Customer Service

揭开细微差别：模糊集分析如何揭示乘客对航空客户服务中人工智能和人工代理的偏好

Murat Sa?ba? et.al.

http://www.mdpi.com/2673-5768/6/1/43

8. Festivals in Age of AI: Smarter Crowds, Happier Fans

人工智能时代的节日：更聪明的人群，更快乐的粉丝

João M. Lopes et.al.

http://www.mdpi.com/2673-5768/6/1/35

9. Understanding the Determinants of Adoption and Intention to Recommend AI Technology in Travel and Transportation

了解旅行和交通领域采用和推荐人工智能技术的决定因素

Gonçalo Baptist et.al.

http://www.mdpi.com/2673-5768/6/2/54

10. What Impacts Tourists’ Co-Creation Experiences in Smart Tourism Destinations? A Mixed Methods Research from Four Chinese Smart Tourism Destinations

智慧旅游目的地：游客共创体验受哪些因素影响？基于中国四个智慧旅游目的地的混合方法研究

Yue Yin et.al.

http://www.mdpi.com/2673-5768/5/4/74