Artificial Intelligence in Tourism: Opportunities and Challenges Seen by Travelers
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Integrating artificial intelligence (AI) into tourism becomes increasingly impactful for consumer behavior. We investigated the impact of AI on the tourism industry and the opportunities and challenges for travelers and service providers. Using a qualitative method, a structured questionnaire was created to explore the perceptions of travelers and industry stakeholders regarding AI integration. Data were collected through in-depth interviews with participants who had engaged with AI-enhanced services in tourism. The results revealed how AI technologies have reshaped travel experiences, service efficiency, and customer satisfaction. The results contribute to the understanding of AI's role in the tourism industry and provide a foundation for future research on effective strategies for AI implementation in tourism.
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Ivanov, S.; Webster, C., Eds. Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality; Emerald Publishing Limited: Bingley, UK, 2019.
Chi, O.H.; Denton, G.; Gursoy, D. Artificially intelligent device use in service delivery: A systematic review, synthesis, and research agenda. J. Hosp. Mark. Manag. 2020, 29, 757–786. https://doi.org/10.1080/19368623.2020.1721394.
Vergragt, P.J. How technology could contribute to a sustainable world. GTI Paper Ser. 2006, 28.
Meehan, K.; Lunney, T.; Curran, K.; McCaughey, A. Aggregating social media data with temporal and environmental context for recommendation in a mobile tour guide system. J. Hosp. Tour. Technol. 2016, 7, 281–299. https://doi.org/10.1108/JHTT-02-2016-0008.
Carvalho, I.; Ivanov, S. ChatGPT for tourism: Applications, benefits, and risks. Tour. Rev. 2024, 79, 290–303. https://doi.org/10.1108/TR-03-2023-0121.
Sorrells, M. What will ChatGPT mean for the travel industry. Travel Weekly, 2023. Available online: https://www.travelweekly.com/Travel-News/Travel-Technology/What-will-ChatGPT-mean-for-the-travelindustry (accessed on 6 February 2023).
Gerke, S.; Minssen, T.; Cohen, G. Ethical and legal challenges of artificial intelligence-driven healthcare. In Artificial Intelligence in Healthcare; Academic Press: London, UK, 2020; pp. 295–336.
Yang, X.; Zhang, L.; Feng, Z. Personalized Tourism Recommendations and the E-Tourism User Experience. J. Travel Res. 2024, 63, 1183–1200. https://doi.org/10.1177/00472875231187332.
Bulchand-Gidumal, J.; Secin, E.W.; O’Connor, P.; Buhalis, D. Artificial intelligence’s impact on hospitality and tourism marketing: Exploring key themes and addressing challenges. Curr. Issues Tour. 2023, 27, 2345–2362. https://doi.org/10.1080/13683500.2023.2229480.
Ivanov, S.; Webster, C. Conceptual framework of the use of robots, artificial intelligence, and service automation in travel, tourism, and hospitality companies. Tour. Rev. 2019, 75, 219–234. https://doi.org/10.1108/TR-09-2018-0140.
Yuxiu, Y. Application of Translation Technology Based on AI in Translation Teaching. Smart Agric. Technol. 2024, 200072, https://doi.org/10.1016/j.sasc.2024.200072.
Sathiya Priya, S.; Manivannan, D.; Gayathri, R.; Manikandann, K.; Kujani, T.; Bharathi, S. Cross-Language Connect: A Chat App for Smooth Multilingual Communication. In Proceedings of the 2024 International Conference on Intelligent Computing and Innovations (ICOICI), August 2024; pp. 159–164. https://doi.org/10.1109/icoici62503.2024.10696715.
Ma, S. Enhancing Tourists’ Satisfaction: Leveraging Artificial Intelligence in the Tourism industry. Pac. Int. J. 2024, 7, 89–98. https://doi.org/10.55014/pij.v7i3.624.
Jana, A.; Shandilya, G.; Srivastava, P. Eco-conscious luxury: Decoding the preferences of affluent travelers in sustainable hospitality. J. Hosp. Tour. Insights 2024. https://doi.org/10.1108/jhti-04-2024-0375.
Kim, J.; Kim, J.; Kim, S.; Hailu, T.B. Effects of AI ChatGPT on Travelers’ Travel Decision-Making. Tour. Rev. 2023. https://doi.org/10.1108/TR-07-2023-0489.
Dickinson, J.E.; Ghali, K.; Cherrett, T.; Speed, C.; Davies, N.; Norgate, S. Tourism and the smartphone app: Capabilities, emerging practice, and scope in the travel domain. Curr. Issues Tour. 2012, 17, 84–101. https://doi.org/10.1080/13683500.2012.718323.
Henderson, J.C. Tourism Crises: Causes, Consequences and Management; Butterworth-Heinemann: Amsterdam, The Netherlands, 2007.
Cleland, J.A. The Qualitative Orientation in Medical Education Research. Korean J. Med. Educ. 2017, 29, 61–69. https://doi.org/10.3946/kjme.2017.53.
Foley, G.; Timonen, V. Using Grounded Theory Method to Capture and Analyze Health Care Experiences. Health Serv. Res. 2015, 50, 1195–1210. https://doi.org/10.1111/1475-6773.12275.
DiCicco-Bloom, B.; Crabtree, B.F. The Qualitative Research Interview. Med. Educ. 2006, 40, 314–321. https://doi.org/10.1111/j.1365-2929.2006.02418.x.
Creswell, J.W.; Poth, C.N. Qualitative Inquiry and Research Design: Choosing Among Five Approaches, 4th ed.; Sage Publications: Thousand Oaks, CA, USA, 2016.
Alotaibi, R.; Ali, A.; Alharthi, H.; Almehamdi, R. AI Chatbot for Tourist Recommendations: A Case Study in the City of Jeddah, Saudi Arabia. Proc. 2020 Conf. 2020, https://doi.org/[link-unavailable].
Kim, J.H.; Kim, J.; Kim, S.; Hailu, T.B. Effects of AI ChatGPT on Travelers’ Travel Decision-Making. Tour. Rev. 2024, 79, 1038–1057. https://doi.org/10.1108/TR-07-2023-0489.
Nica, I.; Tazl, O.A.; Wotawa, F. Chatbot-Based Tourist Recommendations Using Model-Based Reasoning. In Proceedings of ConfWS 2018; September 2018; 25–30.
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