DETUROPE - The Central European Journal of Regional Development and Tourism 2024, 16(2):57-79 | DOI: 10.32725/det.2024.020

The Role of Artificial Intelligence in Shaping The Future of Travel Industry: An Expert Analysis of Artificial Intelligence-Generated Travel Itineraries

Anđelka Štilića, Adis Puškab, Miloš Nicićc
a Academy of Applied Studies Belgrade, The College of Tourism, Belgrade, Serbia
b Government of Brčko District, Department of Public Safety, Brčko, Bosnia and Herzegovina
c Academy of Applied Studies Belgrade, The College of Tourism, Belgrade, Serbia

This study aims to assess the acceptability of AI-generated Travel Itineraries (AITIs) in the tourism sector and investigate the factors that influence their perception and use. The research design employed in this study involved gathering expert knowledge through direct and indirect observation of AITIs. The majority of experts found AITIs to be acceptable, expressing high levels of satisfaction with itinerary organization and suggested activities. However, experts suggested that AITIs could be improved with more personalized information and cultural experiences. This study contributes to the growing body of research on AI in the tourism industry by highlighting the importance of understanding the factors that influence the acceptability and satisfaction of using AI in this context. Moreover, it emphasizes the significance of considering cultural and personal factors when creating itineraries to provide customized and memorable travel experiences.The study provides insights into the acceptability and use of AITIs, underscoring the need for further research in this area and the exploration of AI's potential in the tourism industry. The findings have implications for tourism practitioners and policymakers, enabling the creation of improved products and services that cater to the needs of travelers

Keywords: travel itineraries, expert analysis, contemporary ICT, AI, GPT, chatbot

Received: November 30, 2023; Revised: January 18, 2025; Accepted: February 2, 2025; Prepublished online: February 10, 2025; Published: February 3, 2025  Show citation

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Štilić, A., Puška, A., & Nicić, M. (2024). The Role of Artificial Intelligence in Shaping The Future of Travel Industry: An Expert Analysis of Artificial Intelligence-Generated Travel Itineraries. DETUROPE - The Central European Journal of Regional Development and Tourism, 16(2), 57-79. doi: 10.32725/det.2024.020
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    References

    1. Abdinematabad, S., Ebadikhah, R., Pourabdollah, M., & Raeinojehdehi, R. (2024). Perceptions of Overseas Residents on Tourism Development in Qingdao: An Impact Analysis. TourismSpectrum: Diversity & Dynamics, 1(1), 1-15. https://doi.org/10.56578/tsdd010101 Go to original source...
    2. Ahmad, S. F., Alam, M. M., Rahmat, M. K., Mubarik, M. S., & Hyder, S. I. (2022). Academic and Administrative Role of Artificial Intelligence in Education. Sustainability, 14(3), 1101. https://doi.org/10.3390/su14031101 Go to original source...
    3. Arslan, M. & Kekeç, H. M. (2023). Health Financing in the Pursuit of Sustainable Development Goals: An Examination of Global Averages and Turkey's Position. Opportunities and Challenges in Sustainability, 2(3), 141-147. https://doi.org/10.56578/ocs020303 Go to original source...
    4. Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. (2020). I, Chatbot: Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54, 101473. https://doi.org/10.1016/j.tele.2020.101473 Go to original source...
    5. Brata, K. C., Pinandito, A., Priandani, N. D., & Ananta, M. T. (2021). Usability improvement of public transit application through mental model and user journey. TELKOMNIKA Telecommunication Computing Electronics and Control, 19(2), 397. https://doi.org/10.12928/telkomnika.v19i2.18323 Go to original source...
    6. Buhalis, D., & Cheng, E. S. Y. (2020). Exploring the Use of Chatbots in Hotels: Technology Providers' Perspective. Information and Communication Technologies in Tourism 2020, 231-242. https://doi.org/10.1007/978-3-030-36737-4_19 Go to original source...
    7. Buhalis, D., & Moldavska, I. (2022). Voice assistants in hospitality: using artificial intelligence for customer service. Journal of Hospitality and Tourism Technology, 13(3), 386-403. https://doi.org/10.1108/jhtt-03-2021-0104 Go to original source...
    8. Carreira, V., Azeredo, J., González-Rodríguez, M. R., & Díaz-Fernández, M. C. (2021). The Role of Tourism Education in Overtourism and Destination Management. Overtourism as Destination Risk: Impacts and Solutions., 35-48. https://doi.org/10.1108/978-1-83909-706-520211003 Go to original source...
    9. Carvalho, I., & Ivanov, S. (2024). ChatGPT for tourism: applications, benefits and risks. Tourism Review, 79(2), 290-303. https://doi.org/10.1108/tr-02-2023-0088 Go to original source...
    10. Çeltek, E., & Ilhan, I. (2020). Big Data, Artificial Intelligence, and Their Implications in the Tourism Industry. Handbook of Research on Smart Technology Applications in the Tourism Industry, 115-130. https://doi.org/10.4018/978-1-7998-1989-9.ch006 Go to original source...
    11. Crowley, F., Doran, J., & McCann, P. (2021). The vulnerability of European regional labour markets to job automation: the role of agglomeration externalities. Regional Studies, 55(10-11), 1711-1723. https://doi.org/10.1080/00343404.2021.1928041 Go to original source...
    12. Dhond, R., Gangakhedkarr, S., & Siddanagowder, S. (2023). An Opinion-Based Research on Cryptocurrency and it's Functioning in India. International Journal of Economic Sciences, 12(1), 62-84. https://doi.org/10.52950/ES.2023.12.1.004 Go to original source...
    13. Fararni, K. A., Nafis, F., Aghoutane, B., Yahyaouy, A., Riffi, J., & Sabri, A. (2021). Hybrid recommender system for tourism based on big data and AI: A conceptual framework. Big Data Mining and Analytics, 4(1), 47-55. https://doi.org/10.26599/bdma.2020.9020015 Go to original source...
    14. Feuerriegel, S., Shrestha, Y. R., Von Krogh, G., & Zhang, C. (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4(7), 611-613. https://doi.org/10.1038/s42256-022-00512-5 Go to original source...
    15. Filieri, R., D'Amico, E., Destefanis, A., Paolucci, E., & Raguseo, E. (2021). Artificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups. International Journal of Contemporary Hospitality Management, 33(11), 4099-4125. https://doi.org/10.1108/ijchm-02-2021-0220 Go to original source...
    16. Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 681-694. https://doi.org/10.1007/s11023-020-09548-1 Go to original source...
    17. Garg, P. K. (2021). Overview of Artificial Intelligence. In Artificial Intelligence (pp. 3-18). Chapman and Hall/CRC. https://doi.org/10.1201/9781003140351-2 Go to original source...
    18. Goel, P., Kaushik, N., Sivathanu, B., Pillai, R., & Vikas, J. (2022). Consumers' adoption of artificial intelligence and robotics in hospitality and tourism sector: literature review and future research agenda. Tourism Review, 77(4), 1081-1096. https://doi.org/10.1108/tr-03-2021-0138 Go to original source...
    19. Goswami, S. S., Mondal, S., Halder, R., Nayak, J., & Sil, A. (2024). Exploring the Impact of Artificial Intelligence Integration on Cybersecurity: A Comprehensive Analysis. Journal of Industrial Intelligence, 2(2), 73-93. https://doi.org/10.56578/jii020202 Go to original source...
    20. Hicham, N., Nassera, H., & Karim, S. (2023). Strategic Framework for Leveraging Artificial Intelligence in Future Marketing Decision-Making. Journal of Intelligent Management Decision, 2(3), 139-150. https://doi.org/10.56578/jimd020304 Go to original source...
    21. Huseyn, A. (2023). Assessment of Tourism-Led Growth Risks in Resource-Rich Countries: Evidence From Azerbaijan. Economics - innovative and economics research journal, 11(2), 137-152. https://doi.org/10.2478/eoik-2023-0053 Go to original source...
    22. Ivanov, S. H. (2019). Ultimate transformation: How will automation technologies disrupt the travel, tourism and hospitality industries? Zeitschrift Für Tourismuswissenschaft, 11(1), 25-43. https://doi.org/10.1515/tw-2019-0003 Go to original source...
    23. Ivanov, S. (2020). The impact of automation on tourism and hospitality jobs. Information Technology & Tourism, 22(2), 205-215. https://doi.org/10.1007/s40558-020-00175-1 Go to original source...
    24. Ivanov, S., Del Chiappa, G., & Heyes, A. (2021). The research-practice gap in hotel revenue management: Insights from Italy. International Journal of Hospitality Management, 95, 102924. https://doi.org/10.1016/j.ijhm.2021.102924 Go to original source...
    25. Kong, H., Wang, K., Qiu, X., Cheung, C., & Bu, N. (2022). 30 years of artificial intelligence (AI) research relating to the hospitality and tourism industry. International Journal of Contemporary Hospitality Management. 35(6), 2157-2177. https://doi.org/10.1108/ijchm-03-2022-0354 Go to original source...
    26. Kopalle, P. K., Gangwar, M., Kaplan, A., Ramachandran, D., Reinartz, W., & Rindfleisch, A. (2022). Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities. International Journal of Research in Marketing, 39(2), 522-540. https://doi.org/10.1016/j.ijresmar.2021.11.002 Go to original source...
    27. Lalicic, L., & Weismayer, C. (2021). Consumers' reasons and perceived value co-creation of using artificial intelligence-enabled travel service agents. Journal of Business Research, 129, 891-901. https://doi.org/10.1016/j.jbusres.2020.11.005 Go to original source...
    28. Mah, P. M. (2022). Analysis of Artificial Intelligence and Natural Language Processing Significance as Expert Systems Support for E-Health Using Pre-Train Deep Learning Models. Acadlore Transactions on AI and Machine Learning, 1(2), 68-80. https://doi.org/10.56578/ataiml010201 Go to original source...
    29. Marino, S. (2022). Developing a Sustainable Development Goals Research Hub among MERCOSUR's Universities: A Case Study. Opportunities and Challenges in Sustainability, 1(1), 2-12. https://doi.org/10.56578/ocs010102 Go to original source...
    30. Musleh Al-Sartawi, A. M. A., Hussainey, K., & Razzaque, A. (2022). The role of artificial intelligence in sustainable finance. Journal of Sustainable Finance & Investment, 1-6. https://doi.org/10.1080/20430795.2022.2057405 Go to original source...
    31. Nah, F. F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304. https://doi.org/10.1080/15228053.2023.2233814 Go to original source...
    32. OpenAI. (2023, February 12). Response to "Figure 1" query. Retrieved from https://openai.com/chat-ai/
    33. Ostherr, K. (2022). Artificial Intelligence and Medical Humanities. Journal of Medical Humanities, 43(2), 211-232. https://doi.org/10.1007/s10912-020-09636-4 Go to original source...
    34. Parameswaran, U. D., Ozawa-Kirk, J. L., & Latendresse, G. (2020). To live (code) or to not: A new method for coding in qualitative research. Qualitative Social Work, 19(4), 630-644. https://doi.org/10.1177/1473325019840394 Go to original source...
    35. Pavlik, J. V. (2023). Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education. Journalism & Mass Communication Educator, 78(1), 84-93. 107769582211495. https://doi.org/10.1177/10776958221149577 Go to original source...
    36. Peterka, P., & Stroukal , D. (2024). Evidence Against the Undertaxation of Digital Companies From the Weighted Effective Tax Rate Method Analysis. International Journal of Economic Sciences, 13(1), 58-80. https://doi.org/10.52950/ES.2024.13.1.004 Go to original source...
    37. Pillai, R., & Sivathanu, B. (2020). Adoption of AI-based chatbots for hospitality and tourism. International Journal of Contemporary Hospitality Management, 32(10), 3199-3226. https://doi.org/10.1108/ijchm-04-2020-0259 Go to original source...
    38. Praharaj, S., Mishra, B. B., Mishra, U. S., Panigrahi, R. R., & Mishra, P. C. (2023). Role of Service Automation on Guest Experience of Hotel Industry. Tourism Hospitality Management, 29(2), 265-278. https://doi.org/10.20867/thm.29.2.11 Go to original source...
    39. Prentice, C., Dominique-Ferreira, S., & Wang, X. (2020a). The impact of artificial intelligence and employee service quality on customer satisfaction and loyalty. Journal of Hospitality Marketing & Management, 29(7), 739-756. https://doi.org/10.1080/19368623.2020.1722304 Go to original source...
    40. Prentice, C., Weaven, S. K. W., & Wong, I. A. (2020b). Linking AI quality performance and customer engagement: The moderating effect of AI preference. International Journal of Hospitality Management, 90, 102629. https://doi.org/10.1016/j.ijhm.2020.102629 Go to original source...
    41. Puška, A., & Štilić, A. (2022). Unapređenje konkurentnosti zemalja primjenom računarstva u oblaku. Akademski pregled, 5(2), 144-157. https://doi.org/10.7251/AP2202144P Go to original source...
    42. Rafiq, F., Dogra, N., Adil, M., & Wu, J. Z. (2022). Examining Consumer's Intention to Adopt AI-Chatbots in Tourism Using Partial Least Squares Structural Equation Modeling Method. Mathematics, 10(13), 2190. https://doi.org/10.3390/math10132190 Go to original source...
    43. Rozalia Gabor, M., Alexandru Curta, P., & Dana Oltean, F. (2024). Tourism Competitiveness and Mobile Data: A Grey Relational Analysis ror European Entrepreneurship pre & during Pandemic. Economics - innovative and economics research journal, 12(2), 1-20. https://doi.org/10.2478/eoik-2024-0015 Go to original source...
    44. Rozalia Gabor, M., Dana Oltean, F., & Coca, A. (2023). Innovative Tourism Products as Sustainable Solutions for Emerging Economies. Economics - innovative and economics research journal, 11(1), 69-83. https://doi.org/10.2478/eoik-2023-0007 Go to original source...
    45. Rudolph, J., Tan, S., & Tan, S. (2023). Chatgpt: Bullshit spewer or the end of traditional assessments in higher education? Journal of Applied Learning and Teaching. 6(1), 342-363. https://doi.org/10.37074/jalt.2023.6.1.9 Go to original source...
    46. Rudež, H. N. (2023). What features of digital travel-related information is generation Z looking for? Tourism Hospitality Management, 29(4), 495-504. https://doi.org/10.20867/thm.29.4.2 Go to original source...
    47. Saydam, M. B., Arici, H. E., & Koseoglu, M. A. (2022). How does the tourism and hospitality industry use artificial intelligence? A review of empirical studies and future research agenda. Journal of Hospitality Marketing & Management, 31(8), 908-936. https://doi.org/10.1080/19368623.2022.2118923 Go to original source...
    48. Štilić, A., Nicić, M., & Njeguš, A. (2022). Global Distribution Systems Versus New Distribution Capability and Internet of Things. The European Journal of Applied Economics, 19(1), 81-97. https://doi.org/10.5937/EJAE19-36420 Go to original source...
    49. Štilić, A., Nicić, M., & Puška, A. (2023). Check-in to the future: Exploring the impact of contemporary information technologies and artificial intelligence on the hotel industry. Turisticko Poslovanje, 31, 5-17. https://doi.org/10.5937/turpos0-43739 Go to original source...
    50. Sujood, N., Ali, R. R., Arwab, M., & Hamid, S. (2023). Post-pandemic intention of the tourism and hospitality (t&h) industry employees towards the use of information technology. Tourism Hospitality Management, 29(2), 279-295. https://doi.org/10.20867/thm.29.2.12 Go to original source...
    51. Tussyadiah, I. (2020). A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism. Annals of Tourism Research, 81, 102883. https://doi.org/10.1016/j.annals.2020.102883 Go to original source...
    52. United Nations. Transforming Our World: The 2030 Agenda for Sustainable Development (A/RES/70/1); UN General Assembly: New York, NY, USA, 2015; Available online: https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20for%20Sustainable%20Development%20web.pdf
    53. Vieira, D. P., Júnior, E. R., & de Lacerda Rangel, G. (2024). New entrants for attractions network evolution. Tourism and Hospitality Research, 24(2), 291-303. https://doi.org/10.1177/14673584231151895 Go to original source...
    54. Vincent, C., Levac, S., Dumont, F., Archambault, P. S., Routhier, F., & Mostafavi, M. A. (2024). Usability of a navigation application for travel in Quebec City with wheeled mobility device and, further validation of the Evaluation of satisfaction with geospatial assistive technology. Disability and Rehabilitation: Assistive Technology, 19(2), 367-382. https://doi.org/10.1080/17483107.2022.2089739 Go to original source...
    55. Vindrola-Padros, C., & Johnson, G. C. (2020). Rapid Techniques in Qualitative Research: A Critical Review of the Literature. Qualitative Health Research, 30(10), 1596-1604. https://doi.org/10.1177/1049732320921835 Go to original source...
    56. Yochum, P., Chang, L., Gu, T., & Zhu, M. (2020). An Adaptive Genetic Algorithm for Personalized Itinerary Planning. IEEE Access, 8, 88147-88157. https://doi.org/10.1109/access.2020.2990916 Go to original source...
    57. Zhu, Y., Zhang, R., Zou, Y., & Jin, D. (2023). Investigating customers' responses to artificial intelligence chatbots in online travel agencies: the moderating role of product familiarity. Journal of Hospitality and Tourism Technology, 14(2), 208-224. https://doi.org/10.1108/jhtt-02-2022-0041 Go to original source...

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