Chat GPT; traditional tour operator services; tourist’s satisfaction; AI usage intention; tourism industry

Ali, B. J., Gardi, B., Jabbar Othman, B. J., et al. (2021). Hotel service quality: The impact of service quality on customer satisfaction in hospitality. International Journal of Engineering, Business and Management, 5(3), 14-28.‏ https://doi.org/10.22161/ijebm.5.3.2 Ali, F., Yasar, B., Ali, L., & Dogan, S. (2023). Antecedents and consequences of travelers' trust towards personalized travel recommendations offered by ChatGPT. International Journal of Hospitality Management, 114(1), 103588.‏ https://doi.org/10.1016/j.ijhm.2023.103588 Alotaibi, R., Ali, A., Alharthi, H., & Almehamdi, R. (2020). AI Chatbot for Tourist Recommendations: A Case Study in the City of Jeddah, Saudi Arabia. International Journal of Interactive Mobile Technologies (iJIM), 14(19), 18-30. https://doi.org/10.3991/ijim.v14i19.17201 Ara, C. (2023). The Effect of Chat GPT's e-Service Quality on Learning Performance through Perceived Value and Innovation. The Journal of the Convergence on Culture Technology, 9(5), 707-719.‏ Arman, M., & Lamiya, U. R. (2023). ChatGPT, a Product of AI, and its Influences in the Business World. Talaa: Journal of Islamic Finance, 3(1), 18-37.‏ https://doi.org/10.54045/talaa.v3i1.725 Ashfaq, M., Yun, J., Yu, S., et al. (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 Ayad, T. H. (2017). Examining the relationships between visit experience, satisfaction and behavioral intentions among tourists at the Egyptian Museum, Journal of Association of Arab Universities for Tourism and Hospitality-JAAUTH, 14 (2), 93-104. https://doi.org/10.21608/jaauth.2017.48147 Bayih, B. E., & Singh, A. (2020). Modeling domestic tourism: motivations, satisfaction and tourist behavioral intentions. Heliyon, 6(9), e04839. https://doi.org/10.1016/j.heliyon.2020.e04839 Bin-Nashwan, S. A., Sadallah, M., & Bouteraa, M. (2023). Use of ChatGPT in academia: Academic integrity hangs in the balance. Technology in Society, 75, 102370. https://doi.org/10.1016/j.techsoc.2023.102370 Braimah, S. M., Solomon, E. N. A., & Hinson, R. E. (2024). Tourists satisfaction in destination selection determinants and revisit intentions; perspectives from Ghana. Cogent Social Sciences, 10(1), 2318864.‏ https://doi.org/10.1080/23311886.2024.2318864 Bryman, A., & Cramer, D. (2011). Quantitative data analysis with IBM SPSS 17, 18 and 19: A guide for social scientists. Routledge. Cai, Q., Lin, Y., & Yu, Z. (2023). Factors influencing learner attitudes towards ChatGPT-assisted language learning in higher education. International Journal of Human-Computer Interaction, 1-15.‏ https://doi.org/10.1080/10447318.2023.2261725 Cempena, I. B., Brahmayanti, I. A. S., Astawinetu, E. D., et al. (2021). The role of customer values in increasing tourist satisfaction in Gianyar Regency, Bali, Indonesia. The Journal of Asian Finance, Economics and Business, 8(8), 553-563.‏ https://doi.org/10.13106/JAFEB.2021.VOL8.NO8.0553 Chang, Y. (2020). Understanding the intention to use chatbots for travel: A TAM-based study. Journal of Travel & Tourism Marketing, 37(5), 546-559. Chen, C. (2020). The influence of smart tourism on tourist experience toward travel intention and satisfaction: Evidence from China. International Journal of Marketing Studies, 12(3), 65-70.‏ https://doi.org/10.5539/ijms.v12n3p65 Chen, C., & Chen, F. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. Tourism Management, 31(1), 29-35. https://doi.org/10.1016/j.tourman.2009.02.008 Chin, W.W. (1998). The partial least squares approach for structural equation modeling. In: Marcoulides G. A. (editors). Modern methods for business research. Lawrence Erlbaum Associates Publishers. pp. 295-336. Chin, W.W. (2010). How to Write Up and Report PLS Analyses. In: Esposito Vinzi, V., Chin, W.W., Henseler, J. and Wang, H., (editors). Handbook of Partial Least Squares: Concepts, Methods and Applications. Springer, Heidelberg, Dordrecht, London, New York. pp. 655-690. Choi, J., & Kim, K. (2020). The effect of chatbot service quality on user satisfaction and behavioral intention: The mediating role of perceived value and trust. Journal of Hospitality & Tourism Research, 44(4), 625-649. https://doi.org/10.1016/j.jhtm.2020.05.001 Choudhury, A., & Shamszare, H. (2023). Investigating the Impact of User Trust on the Adoption and Use of ChatGPT: Survey Analysis. Journal of Medical Internet Research, 25, e47184.‏ https://doi.org/10.2196/47184 Chung, M., Ko, E., Joung, H., & Kim, S. J. (2018). Chatbot e-service and customer satisfaction regarding luxury brands. Journal of Business Research, 117. https://doi.org/10.1016/j.jbusres. 2018.10.004 Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences, 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates, Publishers, USA. Çolak, O. (2023). The role of generative pre-trained transformers (GPT) in recreational tourism: an interview with ChatGPT. Spor Bilimleri Araştırmaları Dergisi, 8(3), 733-748.‏ https://doi.org/10.25307/jssr.1341967 Dehghani, M. (2018). Exploring the motivational factors on continuous usage intention of smartwatches among actual users. Behaviour & Information Technology, 37(2), 145–158. https://doi.org/10.1080/0144929x.2018.1424246 Edwards, J. (2023). 8 Ways to Put ChatGPT to Work for Your Business. InformationWeek. Available online: https://www. informationweek.com/big-data/8-ways-to-put-chatgpt-to-work-for-your-business. (accessed on 6 September 2023). Egypt’s Central Agency for Public Mobilization and Statistics CAPMAS. Available online: https://www.sis.gov.eg/Story/171699/CAPMAS-85.4%25-increase-in-number-of-tourists-during-1st-half-of-2022?lang=en-us (accessed on 1 January 2024). Fareed, M. W. (2023). People-centred natural language processing for cultural tourism market: a research agenda.‏ In: Conference: The 2nd International Conference on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding. 25-26 September, Zadar, Croatia. Farhi, F., Jeljeli, R., Aburezeq, I., et al. (2023). Analyzing the students’ views, concerns, and perceived ethics about chat GPT usage. Computers and Education: Artificial Intelligence, 5, 100180. https://doi.org/10.1016/j.caeai.2023.100180 Faruk, L. I. D., Rohan, R., Ninrutsirikun, U., et al. (2023). University Students’ Acceptance and Usage of Generative AI (ChatGPT) from a Psycho-Technical Perspective. Proceedings of the 13th International Conference on Advances in Information Technology. https://doi.org/10.1145/3628454.3629552 Fatmawati, I., & Olga, F. (2023). Investigating The Determining Factors of Tourist Revisit Intention in a Natural-based Tourism Destination. In: E3S Web of Conferences 444. EDP Sciences.‏ https://doi.org/10.1051/e3sconf/202344401014 Fayed, H. A. K., Wafik, G. M., & Gerges, N. W. (2016). The impact of motivations, perceptions and satisfaction on tourists loyalty. International Journal of Hospitality and Tourism Systems, 9(2), 14.‏ Ferreira, J. M., Acuña, S. T., Dieste, O., et al. (2020). Impact of usability mechanisms: An experiment on efficiency, effectiveness and user satisfaction. Information and Software Technology Journal, 117.‏ https://doi.org/10.1016/j.infsof.2019.106195 Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104 George, A. S., & George, A. H. (2023). A review of ChatGPT AI's impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9-23.‏ https://doi.org/10.5281/zenodo.7644359 Gursoy, D., Li, Y., & Song, H. (2023). ChatGPT and the hospitality and tourism industry: an overview of current trends and future research directions. Journal of Hospitality Marketing & Management, 32(5), 579–592. https://doi.org/10.1080/19368623.2023.2211993 Hair, J.F., Hult, G.T.M., Ringle, C.M. & Sarstedt, M. (2017) A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed. Sage Publications Inc., Thousand Oaks, CA. Hui, T. K., Wan, D., & Ho, A. (2007). Tourists' satisfaction, recommendation and revisiting Singapore. Tourism management, 28(4), 965-975.‏ https://doi.org/10.1016/j.tourman.2006.08.008 Jacobs, O., Pazhoohi, F., & Kingstone, A. (2023). Brief exposure increases mind perception to ChatGPT and is moderated by the individual propensity to anthropomorphize. https://doi.org/10.31234/osf.io/pn29d Jin, S. V.& Youn, S. (2023). Social Presence and Imagery Processing as Predictors of Chatbot Continuance Intention in Human-AI-Interaction. International Journal of Human-Computer Interaction, 39(9), PP.1874-1886. https://doi.org/10.1080/10447318.2022.2129277 Jo, H. (2023). Understanding AI tool engagement: A study of ChatGPT usage and word-of-mouth among university students and office workers. Telematics and Informatics, 85, 102067. https://doi.org/10.1016/j.tele.2023.102067 Kalla, D., & Smith, N. (2023). Study and Analysis of Chat GPT and its Impact on Different Fields of Study. International Journal of Innovative Science and Research Technology, 8(3).‏ Kanwal, A., Hassan, S. K., & Iqbal, I. (2023). An investigation into how university-level teachers perceive chat-gpt impact upon student learning. Gomal University Journal of Research, 39(03), 250–265. Internet Archive. https://doi.org/10.51380/gujr-39-03-001 Keni, K. (2020). How perceived usefulness and perceived ease of use affecting intent to repurchase? Jurnal Manajemen, 24(3), 481-496.‏ https://doi.org/10.24912/jm.v24i3.680 Kim, J. H., Kim, J., Park, J., et al. (2023). When ChatGPT Gives Incorrect Answers: The Impact of Inaccurate Information by Generative AI on Tourism Decision-Making. Journal of Travel Research, 0(0).‏ https://doi.org/10.1177/00472875231212996 Kim, J., Kim, J. H., Kim, C., et al. (2023). Decisions with ChatGPT: Reexamining choice overload in ChatGPT recommendations. Journal of Retailing and Consumer Services, 75, 103494. https://doi.org/10.1016/j.jretconser.2023.103494 Koc, E., Hatipoglu, S., Kivrak, O., et al. (2023). Houston, we have a problem!: The use of ChatGPT in responding to customer complaints. Technology in Society, 74, 102333. https://doi.org/10.1016/j.techsoc.2023.102333 Kock, N. (2020). Multilevel analyses in PLS-SEM: An anchor-factorial with variation diffusion approach. Data Analysis Perspectives Journal, 1(2), 1-6. Lee, S., & Lee, H. (2021). Understanding the impact of AI chatbots on customer satisfaction: The mediating roles of perceived value, trust, and personalization. Journal of Hospitality Marketing & Management, 30(1), 104-123. Liu, C. H., La, Q. P., Ng, Y. L., & Mamengko, R. P. (2023). Discovering the Sustainable Innovation Service Process of Organizational Environment, Information Sharing and Satisfaction: The Moderating Roles of Pressure. Sustainability, 15(14), 11445.‏ https://doi.org/10.3390/su151411445 López, P. E., Bulchand-Gidumal, J., Gutiérrez-Taño, D., & Díaz-Armas, R. (2011). Intentions to use social media in organizing and taking vacation trips. Computers in Human Behavior, 27(2), 640-654. https://doi.org/10.1016/j.chb.2010.05.022 Manan, A. The New Technology and Travel Revolution. Available online: https://www.wearemarketing.com/blog/tourism-and-technology-how-tech-is-revolutionizing-travel.html (accessed on 14 September 2023). Mearian, L (2023) How enterprises can use ChatGPT and GPT-3. Available online: https://www.computerworld.com/article/3687614/how-enterprises-can-use-chatgpt-and-gpt-3.html (accessed on 6 September 2023). Melián-González, S., Gutiérrez-Taño, D., & Bulchand-Gidumal, J. (2019). Predicting the intentions to use chatbots for travel and tourism. Current Issues in Tourism, 24(2), 192–210. https://doi.org/10.1080/13683500.2019.1706457 Menon, D., & Shilpa, K. (2023). "Chatting with ChatGPT": Analyzing the factors influencing users' intention to Use the Open AI's ChatGPT using the UTAUT model. Heliyon, 9(11).‏ https://doi.org/10.1016/j.heliyon.2023.e20962 Paul, J., Ueno, A., & Dennis, C. (2023). ChatGPT and consumers: Benefits, Pitfalls and Future Research Agenda. International Journal of Consumer Studies, 47(4), 1213–1225. Portico. https://doi.org/10.1111/ijcs.12928 Permana, D. (2018). Tourist's re-visit intention from perspective of value perception, destination image and satisfaction.‏ European Research Studies Journal, 21(3), 254-265. https://doi.org/10.35808/ersj/1058 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 Pratminingsih, S. A., Rudatin, C. L., & Rimenta, T. (2014). Roles of motivation and destination image in predicting tourist revisit intention: A case of Bandung-Indonesia. International Journal of Innovation, Management and Technology, 5(1), 19.‏ https://doi.org/10.7763/IJIMT.2014.V5.479 Reisinger, Y., & Turner, L. W. (2003). Cross-cultural Behavior in Tourism: Concepts and Analysis. International Journal of Tourism Research, 6(1). https://doi.org/10.1002/jtr.463 Salles, A., Evers, K., & Farisco, M. (2020). Anthropomorphism in AI. AJOB neuroscience, 11(2), 88-95.‏ https://doi.org/10.1080/21507740.2020.1740350 Severt, D., Wong, Y., Chen, P., & Breiter, D. (2007). Examining the motivation, perceived performance and behavioral intentions of convention attendees: Evidence from a regional conference. Tourism Management, 28(2), 399-408. https://doi.org/10.1016/j.tourman.2006.04.003 Skjuve, M., Følstad, A., & Brandtzaeg, P. B. (2023). The user experience of ChatGPT: findings from a questionnaire study of early users. In: Proceedings of the 5th International Conference on Conversational User Interfaces. Association for Computing Machinery, pp. 1-10.‏ Sohail, S. S., Farhat, F., Himeur, Y., et al. (2023). Decoding ChatGPT: a taxonomy of existing research, current challenges, and possible future directions. Journal of King Saud University-Computer and Information Sciences, 35(8).‏ https://doi.org/10.1016/j.jksuci.2023.101675 Stocchi, L., Michaelidou, N. & Micevski, M. (2019). Drivers and outcomes of branded mobile app usage intention. Journal of Product & Brand Management, 28(1), pp. 28-49. https://doi.org/10.1108/JPBM-02-2017-1436 Subagja, A. D., Ausat, A. M. A., Sari, A. R., et al. (2023). Improving Customer Service Quality in MSMEs through the Use of ChatGPT. Jurnal Minfo Polgan, 12(2), 380-386.‏ https://doi.org/10.33395/jmp.v12i1.12407 Topsakal, Y., Icoz, O., & Icoz, O. (2022). Digital Transformation and Tourist Experiences. In L. Oliveira (Ed.), Handbook of Research on Digital Communications, Internet of Things, and the Future of Cultural Tourism (pp. 19-41). IGI Global. https://doi.org/10.4018/978-1-7998-8528-3.ch002 Venkatesh, Thong, & Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS Quarterly, 36(1), 157. https://doi.org/10.2307/41410412 Wang, T., Wang, D., Li, B., et al. (2023). The Impact of Anthropomorphism on Chatgpt Actual Use: Roles of Interactivity, Perceived Enjoyment, and Extraversion. Perceived Enjoyment, and Extraversion. 1-34. https://doi.org/10.2139/ssrn.4547430 Wetzels, M., Odekerken-Schroder, G. & Van Oppen, C. (2009) Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration. MIS Quarterly, 33(1), 177-195. https://doi.org/10.2307/20650284 Wong, I. A., Lian, Q. L., & Sun, D. (2023). Autonomous travel decision-making: An early glimpse into ChatGPT and generative AI. Journal of Hospitality and Tourism Management, 56, 253–263. https://doi.org/10.1016/j.jhtm.2023.06.022 Yilmaz, H., Maxutov, S., Baitekov, A., & Balta, N. (2023). Student Attitudes towards Chat GPT: A Technology Acceptance Model Survey. International Educational Review, 1(1), 57-83. https://doi.org/10.58693/ier.114 Zeng, L., & Li, R. Y. M. (2021). Tourist satisfaction, willingness to revisit and recommend, and mountain kangyang tourism spots sustainability: A structural equation modelling approach. Sustainability, 13(19), 10620.‏ https://doi.org/10.3390/su131910620 Zhai, C., & Wibowo, S. (2022). A systematic review on cross-culture, humor and empathy dimensions in conversational chatbots: The case of second language acquisition. Heliyon, 8(12). https://doi.org/10.1016/j.heliyon.2022.e12056