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Content analysis of academic studies on artificial intelligence in tourism journals

Year 2025, Volume: 10 Issue: 3, 379 - 388, 21.12.2025
https://doi.org/10.31822/jomat.2025-10-3-379

Abstract

With the increasing use of artificial intelligence (AI) in the tourism sector, it has become important to analyze related studies and identify emerging trends. In this study, content analysis was applied to a total of 79 articles published in top 6 journals of "Hospitality, Leisure, Sports and Tourism" category of the Social Sciences Citation Index (SSCI) such as Annals of Tourism Research, Tourism Management, Journal of Hospitality Marketing & Management, Journal of Sport and Health Science, International Journal of Hospitality Management, and International Journal of Contemporary Hospitality Management, between 2018 and 2024. As a result of the analysis, it was determined that the country that produced the most articles in this field was China, followed by the USA. Quantitative research methods were used the most in the research (67.08%) and the most used variables were performance and security.

References

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  • Bağcı, E., & İçöz, O. (2019). Z ve Alfa Kuşağı ile Dijitalleşen Turizm. Güncel Turizm Araştırmaları Dergisi, 3(2), 232-256.
  • Belanche, D., Casaló, L. V., & Flavián, C. (2021). Frontline robots in tourism and hospitality: Service enhancement or cost reduction? Electronic Markets, 31(3), 477–492. https://doi.org/10.1007/s12525-020- 00432-5
  • Brachman, R. J. (2006). AI more than the sum of its parts. AI Magazine, 27(4), 19-19.
  • Buhalis, D. (1996). Information technology as a strategic tool for tourism, Tourism Review, 17(2), 34-36. https://doi.org/10.1108/eb058221
  • Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Z. Xiang, M. Fuchs, U. Gretzel, & W. Höpken (Eds.), Handbook of e-Tourism. Springer, Cham. https://doi.org/10.1007/978-3-030- 48652-5_110
  • Bulchand-Gidumal, J., Secin, E. W., O’Connor, P., & Buhalis, D. (2023). Artificial intelligence’s impact on hospitality and tourism marketing: Exploring key themes and addressing challenges. Current Issues in Tourism, 27(14), 2345– 2362. https://doi.org/10.1080/13683500.2023.2229480
  • Calvaresi, D., Ibrahim, A., Calbimonte, J.-P., Fragniere, E., Schegg, R., & Schumacher, M. I. (2021). Leveraging inter- tourist interactions via chatbots to bridge academia, tourism industries, and future societies. Journal of Tourism Futures, 9(3), 311-337. https://doi.org/10.1108/JTF-08-2021-0212
  • Chenini, A., & Touaiti, M. B. (2020). Building destination loyalty using tourist satisfaction and destination image: A holistic conceptual framework. Journal of Tourism Futures, 6(2), 163-179. https://doi.org/10.1108/JTF-11-2018-0075
  • Chi, N. T. K. C., & Nam, V. H. N. (2022). The impact of AI chatbot on long-term relationships between customers and hotels. VNU Journal of Economics and Business, 2(6), 1-10.
  • Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education. Routledge.
  • Coşkun, A., Akbaş Tuna, A., & Tuna, M. (2015). The impact of artificial intelligence on hotel management. Tourism Management Perspectives, 16, 65-72.
  • Çuhadar, M., Demiray, G., Öztürk, M., & Alabacak, C. (2022). Konaklama işletmelerinde yapay zekâ ve robotik teknolojileri: Bibliyometrik bir analiz. Journal of Tourism and Gastronomy Studies, 10(2), 1550–1580. https://doi.org/10.21325/jotags.2022.1056.
  • García-Madurga, M. A., & Grilló-Méndez, E. (2023). Artificial intelligence in tourism: A systematic review of current trends and future directions. Journal of Hospitality and Tourism Management, 54, 102-115.
  • Go, H., Kang, M., & Seungbeum, C. S. (2020). Machine learning of robots in tourism and hospitality: Interactive technology acceptance model (iTAM) – Cutting edge. Tourism Review. https://doi.org/10.1108/TR-02-2019-0062
  • Goh, C., & Law, R. (2011). The methodological progress of tourism demand forecasting: A review of related literature. Journal of Travel & Tourism Marketing, 28(3), 296-317.
  • Hanji, S. V., Navalgund, N., Ingalagi, S., Desai, S., & Hanji, S. S. (2023). Adoption of AI chatbots in travel and tourism services. In Proceedings of the Eighth International Congress on Information and Communication Technology, Lecture Notes in Networks and Systems, Springer, 696, 713-.727, https://doi.org/10.1007/978-3-030-88253-1_62
  • Hradecky, D., Kennell, J., Cai, W. J., & Davidson, R. (2022). Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe. International Journal of Information Management, 65, Article 102497. https://doi.org/10.1016/j.ijinfomgt.2022.102497
  • Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
  • Ivanov, S., & Webster, C. (2020). Robots in tourism: A research agenda for tourism economics. Tourism Economics, 26(7), 1065-1085. https://doi.org/10.1177/1354816619879583
  • Ivanov, S., & Webster, C. (2021). Willingness-to-pay for robot-delivered tourism and hospitality services – an exploratory study. International Journal of Contemporary Hospitality Management, 33(11), 3926- 3955. https://doi.org/10.1108/IJCHM-09-2020-1078
  • Jabeen, F., Al Zaidi, S., & Al Dhaheri, M. H. (2022). Automation and artificial intelligence in hospitality and tourism. Tourism Review, 77(4), 1043-1061. https://doi.org/10.1108/TR-09-2019-0360
  • Khan, N., Khan, W., Humayun, M., & Naz, A. (2024). Unlocking the potential: Artificial intelligence applications in sustainable tourism. In A. Alnoor, G. E. Bayram, C. XinYing, & S. H. A. Shah (Eds.), The role of artificial intelligence in regenerative tourism and green destinations (pp. 303-316). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83753-746-420241020
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  • Kong, H., Yuan, Y., Baruch, Y., Bu, N., Jiang, X., & Wang, K. (2021). Influences of artificial intelligence (AI) awareness on career competency and job burnout. International Journal of Contemporary Hospitality Management, 33(2), 717-734.
  • Kontogianni, A., Alepis, E., & Patsakis, C. (2022). Smart tourism and artificial intelligence: Paving the way to the post-COVID-19 era. In M. Virvou, G. A. Tsihrintzis, L. H. Tsoukalas, & L. C. Jain (Eds.). Advances in artificial intelligence-based technologies: Learning and analytics in intelligent systems (Vol. 22). Springer. https://doi.org/10.1007/978-3-030-80571-5_7
  • Ku, E. C. S., & Chen, C. D. (2024). Artificial intelligence innovation of tourism businesses: From satisfied tourists to continued service usage intention. International Journal of Information Management, 76, 102757.
  • Li, B., Liu, L. N., Mao, W. C., Qu, Y. C. M., & Chen, Y. H. (2023). Voice artificial intelligence service failure and customer complaint behavior: The mediation effect of customer emotion. Electronic Commerce Research and Applications, 59, 101261. https://doi.org/10.1016/j.elerap.2023.101261
  • Liu, L., & Shi, Y. (2018). Artificial intelligence and tourism: A systematic review. International Journal of Tourism Research, 20(3), 256-268.
  • Loureiro, S. M. C., & Bilro, R. G. (2022). The role of commitment amongst tourists and intelligent virtual assistants, Journal of Promotion Management, 28(2),175–188. https://doi.org/10.1080/10496491.2021.1987979
  • Luger, G. F., & Chakrabarti, C. (2017). From Alan Turing to modern AI: practical solutions and an implicit epistemic stance. AI & Soc, 32, 321–338. https://doi.org/10.1007/s00146-016-0646-7
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  • McCarthy, J. (2007). What isartificialintelligence? Stanford University. http://jmc.stanford.edu/articles/whatisai/whatisai.pdf
  • Nain, A., Awasthi, A., & Vaid, H. (2024). Robotics and artificial intelligence empowered hospitality industry: A case study of the Japanese hospitality. In V. Singh, K. Seth, and S. Thaku (Eds.), Operational Transformations in Tourism and Hospitality (1-7), Bharti Publications.
  • Osawa, H., Ema, A., Hattori, H., Akiya, N., Kanzaki, N., Kubo, A., Koyama, T., & Ichise, R. (2017). Analysis of robot hotel: Reconstruction of works with robots, 2017 26th IEEE international symposium on robot and human interactive communication (RO-MAN), 219-223.
  • Özdemir, S. (2024). Evaluation of articles on 'tourism and artificial intelligence' in academic journals covered by ulakbim". Journal of Travel and Hospitality Business, 21(3), 719-746.
  • Pillai, R., & Sivathanu, M. (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
  • Pinheiro, A. B., Pinto, A. S., Abreu, A., Costa, E., & Borges, I. (2021). The impact of artificial intelligence on the tourism industry: a systematic review. In: Advances in Tourism, Technology and Systems: Selected Papers from ICOTTS20, 1, 458–469, https://doi.org/10.1007/978-981-33-4256-9_42
  • Rane, N., Choudhary, S., & Rane, J. (2023). Sustainable tourism development using leading-edge artificial intelligence (AI), blockchain, internet of things (IoT), augmented reality (AR), and virtual reality(VR) technologies.SSRN.https://ssrn.com/abstract=4642605 or http://dx.doi.org/10.2139/ssrn.4642605
  • Rodrigues, O. (2017). Artificial intelligence systems in the business of tourism: Virtual personal assistants, changes in the business context. University of East London, School of Business and Law.
  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
  • Samara, D., Magnisalis, I., & Peristeras, V. (2020). Artificial intelligence and big data in tourism: A systematic literature review. Journal of Hospitality and Tourism Technology, 11(2), 343–367. https://doi.org/10.1108/JHTT-12- 2018-0118
  • Schwab, K. (2017). The fourth industrial revolution. Crown Business.
  • Sharma, K., Jain, M., & Dhir, S. (2022). Analysing the impact of artificial intelligence on the competitiveness of tourism firms: A modified total interpretive structural modeling (m-TISM) approach. International Journal of Emerging Markets, 17(4), 1067-1084. https://doi.org/10.1108/IJOEM- 05-2021- 0810
  • Shi, S., Gong, Y., & Gursoy, D. (2021). Antecedents of Trust and Adoption Intention toward Artificially Intelligent Recommendation Systems in Travel Planning: A Heuristic–Systematic Model. Journal of Travel Research, 60(8), 1714-1734. https://doi.org/10.1177/0047287520966395
  • Stroumpoulis, A., Kopanaki, E., & Varelas, S. (2022). Role of artificial intelligence and big data analytics in smart tourism: A resource-based view approach. WIT Transactions on Ecology and the Environment, 256, 99-108.
  • Tsaih, R. H., & Hsu, C. C. (2018). Artificial intelligence in smart tourism: A conceptual framework. In ICEB 2018 Proceedings, 89, Guilin, China. https://aisel.aisnet.org/iceb2018/89
  • 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
  • Ünal, S., & Sezgin, A. A. (2021). Büyük Veri (Big Data)’nin Yapay Zekâ Uygulamalarında Toplumsal Sınıflandırmaya Yönelik Kaygılar, AJIT-e: Bilişim Teknolojileri Online Dergisi, 12(44), 47-70. DOI: 10.5824/ajite.2021.01. 004. x
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Year 2025, Volume: 10 Issue: 3, 379 - 388, 21.12.2025
https://doi.org/10.31822/jomat.2025-10-3-379

Abstract

References

  • Aksoy, H. (2021). Yapay Zekalı Varlıklar ve Ceza Hukuku. International Journal of Economics, Politics, Humanities & Social Sciences, 4(1), 10-27.
  • Arsenijevic, U., & Jovic, M. (2019, September). Artificial intelligence marketing: chatbots. In 2019 international conference on artificial intelligence: applications and innovations (IC-AIAI) (pp. 19-193). IEEE.
  • Bağcı, E., & İçöz, O. (2019). Z ve Alfa Kuşağı ile Dijitalleşen Turizm. Güncel Turizm Araştırmaları Dergisi, 3(2), 232-256.
  • Belanche, D., Casaló, L. V., & Flavián, C. (2021). Frontline robots in tourism and hospitality: Service enhancement or cost reduction? Electronic Markets, 31(3), 477–492. https://doi.org/10.1007/s12525-020- 00432-5
  • Brachman, R. J. (2006). AI more than the sum of its parts. AI Magazine, 27(4), 19-19.
  • Buhalis, D. (1996). Information technology as a strategic tool for tourism, Tourism Review, 17(2), 34-36. https://doi.org/10.1108/eb058221
  • Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Z. Xiang, M. Fuchs, U. Gretzel, & W. Höpken (Eds.), Handbook of e-Tourism. Springer, Cham. https://doi.org/10.1007/978-3-030- 48652-5_110
  • Bulchand-Gidumal, J., Secin, E. W., O’Connor, P., & Buhalis, D. (2023). Artificial intelligence’s impact on hospitality and tourism marketing: Exploring key themes and addressing challenges. Current Issues in Tourism, 27(14), 2345– 2362. https://doi.org/10.1080/13683500.2023.2229480
  • Calvaresi, D., Ibrahim, A., Calbimonte, J.-P., Fragniere, E., Schegg, R., & Schumacher, M. I. (2021). Leveraging inter- tourist interactions via chatbots to bridge academia, tourism industries, and future societies. Journal of Tourism Futures, 9(3), 311-337. https://doi.org/10.1108/JTF-08-2021-0212
  • Chenini, A., & Touaiti, M. B. (2020). Building destination loyalty using tourist satisfaction and destination image: A holistic conceptual framework. Journal of Tourism Futures, 6(2), 163-179. https://doi.org/10.1108/JTF-11-2018-0075
  • Chi, N. T. K. C., & Nam, V. H. N. (2022). The impact of AI chatbot on long-term relationships between customers and hotels. VNU Journal of Economics and Business, 2(6), 1-10.
  • Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education. Routledge.
  • Coşkun, A., Akbaş Tuna, A., & Tuna, M. (2015). The impact of artificial intelligence on hotel management. Tourism Management Perspectives, 16, 65-72.
  • Çuhadar, M., Demiray, G., Öztürk, M., & Alabacak, C. (2022). Konaklama işletmelerinde yapay zekâ ve robotik teknolojileri: Bibliyometrik bir analiz. Journal of Tourism and Gastronomy Studies, 10(2), 1550–1580. https://doi.org/10.21325/jotags.2022.1056.
  • García-Madurga, M. A., & Grilló-Méndez, E. (2023). Artificial intelligence in tourism: A systematic review of current trends and future directions. Journal of Hospitality and Tourism Management, 54, 102-115.
  • Go, H., Kang, M., & Seungbeum, C. S. (2020). Machine learning of robots in tourism and hospitality: Interactive technology acceptance model (iTAM) – Cutting edge. Tourism Review. https://doi.org/10.1108/TR-02-2019-0062
  • Goh, C., & Law, R. (2011). The methodological progress of tourism demand forecasting: A review of related literature. Journal of Travel & Tourism Marketing, 28(3), 296-317.
  • Hanji, S. V., Navalgund, N., Ingalagi, S., Desai, S., & Hanji, S. S. (2023). Adoption of AI chatbots in travel and tourism services. In Proceedings of the Eighth International Congress on Information and Communication Technology, Lecture Notes in Networks and Systems, Springer, 696, 713-.727, https://doi.org/10.1007/978-3-030-88253-1_62
  • Hradecky, D., Kennell, J., Cai, W. J., & Davidson, R. (2022). Organizational readiness to adopt artificial intelligence in the exhibition sector in Western Europe. International Journal of Information Management, 65, Article 102497. https://doi.org/10.1016/j.ijinfomgt.2022.102497
  • Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155-172.
  • Ivanov, S., & Webster, C. (2020). Robots in tourism: A research agenda for tourism economics. Tourism Economics, 26(7), 1065-1085. https://doi.org/10.1177/1354816619879583
  • Ivanov, S., & Webster, C. (2021). Willingness-to-pay for robot-delivered tourism and hospitality services – an exploratory study. International Journal of Contemporary Hospitality Management, 33(11), 3926- 3955. https://doi.org/10.1108/IJCHM-09-2020-1078
  • Jabeen, F., Al Zaidi, S., & Al Dhaheri, M. H. (2022). Automation and artificial intelligence in hospitality and tourism. Tourism Review, 77(4), 1043-1061. https://doi.org/10.1108/TR-09-2019-0360
  • Khan, N., Khan, W., Humayun, M., & Naz, A. (2024). Unlocking the potential: Artificial intelligence applications in sustainable tourism. In A. Alnoor, G. E. Bayram, C. XinYing, & S. H. A. Shah (Eds.), The role of artificial intelligence in regenerative tourism and green destinations (pp. 303-316). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83753-746-420241020
  • Knani, M., Echchakoui, S., & Ladhari, R. (2022). Artificial intelligence in tourism and hospitality: bibliometric analysis and research agenda. Int. J. Hospit. Manag., 107 (2022), 10.1016/j.ijhm.2022.103317
  • Kong, H., Yuan, Y., Baruch, Y., Bu, N., Jiang, X., & Wang, K. (2021). Influences of artificial intelligence (AI) awareness on career competency and job burnout. International Journal of Contemporary Hospitality Management, 33(2), 717-734.
  • Kontogianni, A., Alepis, E., & Patsakis, C. (2022). Smart tourism and artificial intelligence: Paving the way to the post-COVID-19 era. In M. Virvou, G. A. Tsihrintzis, L. H. Tsoukalas, & L. C. Jain (Eds.). Advances in artificial intelligence-based technologies: Learning and analytics in intelligent systems (Vol. 22). Springer. https://doi.org/10.1007/978-3-030-80571-5_7
  • Ku, E. C. S., & Chen, C. D. (2024). Artificial intelligence innovation of tourism businesses: From satisfied tourists to continued service usage intention. International Journal of Information Management, 76, 102757.
  • Li, B., Liu, L. N., Mao, W. C., Qu, Y. C. M., & Chen, Y. H. (2023). Voice artificial intelligence service failure and customer complaint behavior: The mediation effect of customer emotion. Electronic Commerce Research and Applications, 59, 101261. https://doi.org/10.1016/j.elerap.2023.101261
  • Liu, L., & Shi, Y. (2018). Artificial intelligence and tourism: A systematic review. International Journal of Tourism Research, 20(3), 256-268.
  • Loureiro, S. M. C., & Bilro, R. G. (2022). The role of commitment amongst tourists and intelligent virtual assistants, Journal of Promotion Management, 28(2),175–188. https://doi.org/10.1080/10496491.2021.1987979
  • Luger, G. F., & Chakrabarti, C. (2017). From Alan Turing to modern AI: practical solutions and an implicit epistemic stance. AI & Soc, 32, 321–338. https://doi.org/10.1007/s00146-016-0646-7
  • Markoff, J. (2014). Beep,’ Says the Bellhop. The New York Times. from https://www.nytimes.com/2014/08/12/technology/hotel-to-begin-testing-botlr-a-robotic-bellhop.html
  • Martin, B. A. S., Jin, H. S., Wang, D., Nguyen, H., Zhan, K., & Wang, Y. X. (2020). The influence of consumer anthropomorphism on attitudes towards artificial intelligence trip advisors. Journal of Hospitality and Tourism Management, 44, 108-111.
  • McCarthy, J. (2007). What isartificialintelligence? Stanford University. http://jmc.stanford.edu/articles/whatisai/whatisai.pdf
  • Nain, A., Awasthi, A., & Vaid, H. (2024). Robotics and artificial intelligence empowered hospitality industry: A case study of the Japanese hospitality. In V. Singh, K. Seth, and S. Thaku (Eds.), Operational Transformations in Tourism and Hospitality (1-7), Bharti Publications.
  • Osawa, H., Ema, A., Hattori, H., Akiya, N., Kanzaki, N., Kubo, A., Koyama, T., & Ichise, R. (2017). Analysis of robot hotel: Reconstruction of works with robots, 2017 26th IEEE international symposium on robot and human interactive communication (RO-MAN), 219-223.
  • Özdemir, S. (2024). Evaluation of articles on 'tourism and artificial intelligence' in academic journals covered by ulakbim". Journal of Travel and Hospitality Business, 21(3), 719-746.
  • Pillai, R., & Sivathanu, M. (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
  • Pinheiro, A. B., Pinto, A. S., Abreu, A., Costa, E., & Borges, I. (2021). The impact of artificial intelligence on the tourism industry: a systematic review. In: Advances in Tourism, Technology and Systems: Selected Papers from ICOTTS20, 1, 458–469, https://doi.org/10.1007/978-981-33-4256-9_42
  • Rane, N., Choudhary, S., & Rane, J. (2023). Sustainable tourism development using leading-edge artificial intelligence (AI), blockchain, internet of things (IoT), augmented reality (AR), and virtual reality(VR) technologies.SSRN.https://ssrn.com/abstract=4642605 or http://dx.doi.org/10.2139/ssrn.4642605
  • Rodrigues, O. (2017). Artificial intelligence systems in the business of tourism: Virtual personal assistants, changes in the business context. University of East London, School of Business and Law.
  • Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
  • Samara, D., Magnisalis, I., & Peristeras, V. (2020). Artificial intelligence and big data in tourism: A systematic literature review. Journal of Hospitality and Tourism Technology, 11(2), 343–367. https://doi.org/10.1108/JHTT-12- 2018-0118
  • Schwab, K. (2017). The fourth industrial revolution. Crown Business.
  • Sharma, K., Jain, M., & Dhir, S. (2022). Analysing the impact of artificial intelligence on the competitiveness of tourism firms: A modified total interpretive structural modeling (m-TISM) approach. International Journal of Emerging Markets, 17(4), 1067-1084. https://doi.org/10.1108/IJOEM- 05-2021- 0810
  • Shi, S., Gong, Y., & Gursoy, D. (2021). Antecedents of Trust and Adoption Intention toward Artificially Intelligent Recommendation Systems in Travel Planning: A Heuristic–Systematic Model. Journal of Travel Research, 60(8), 1714-1734. https://doi.org/10.1177/0047287520966395
  • Stroumpoulis, A., Kopanaki, E., & Varelas, S. (2022). Role of artificial intelligence and big data analytics in smart tourism: A resource-based view approach. WIT Transactions on Ecology and the Environment, 256, 99-108.
  • Tsaih, R. H., & Hsu, C. C. (2018). Artificial intelligence in smart tourism: A conceptual framework. In ICEB 2018 Proceedings, 89, Guilin, China. https://aisel.aisnet.org/iceb2018/89
  • 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
  • Ünal, S., & Sezgin, A. A. (2021). Büyük Veri (Big Data)’nin Yapay Zekâ Uygulamalarında Toplumsal Sınıflandırmaya Yönelik Kaygılar, AJIT-e: Bilişim Teknolojileri Online Dergisi, 12(44), 47-70. DOI: 10.5824/ajite.2021.01. 004. x
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There are 59 citations in total.

Details

Primary Language English
Subjects Tourism (Other)
Journal Section Research Article
Authors

Eylem Taşdağıtıcı 0000-0002-1622-1831

Ayşen Akbaş Tuna 0000-0003-4615-4374

Muharrem Tuna

Submission Date September 22, 2024
Acceptance Date October 17, 2025
Early Pub Date October 29, 2025
Publication Date December 21, 2025
Published in Issue Year 2025 Volume: 10 Issue: 3

Cite

APA Taşdağıtıcı, E., Akbaş Tuna, A., & Tuna, M. (2025). Content analysis of academic studies on artificial intelligence in tourism journals. Journal of Multidisciplinary Academic Tourism, 10(3), 379-388. https://doi.org/10.31822/jomat.2025-10-3-379



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