A BIBLIOMETRIC ANALYSIS OF ARTIFICIAL INTELLIGENCE ADOPTION IN TOURISM AND HOSPITALITY RESEARCH
DOI:
https://doi.org/10.62207/a1pyk949Keywords:
Artificial Intelligence, Bibliometric, Pariwisata, PerhotelanAbstract
Studi bibliometrik ini menyelidiki tren penelitian dan struktur intelektual yang berkaitan dengan adopsi kecerdasan buatan (AI) dalam sektor pariwisata dan perhotelan. Dengan menggunakan analisis co-occurrence kata kunci melalui VOSviewer, penelitian ini secara sistematis mengkaji artikel jurnal bereputasi yang ditinjau sejawat dan terindeks dalam basis data akademik terkemuka. Temuan penelitian mengungkapkan klaster tematik yang berbeda, termasuk penerimaan pengguna, otomasi layanan, keberlanjutan, serta teknologi baru seperti AI generatif. Analisis ini menyoroti dominannya penggunaan teori perilaku seperti Technology Acceptance Model (TAM) dan Unified Theory of Acceptance and Use of Technology (UTAUT) dalam penelitian yang ada, sekaligus mengidentifikasi adanya kesenjangan dalam integrasi teoretis terhadap aplikasi AI yang bersifat novel. Keterbatasan yang berkaitan dengan pemilihan basis data dan metode analisis diakui. Rekomendasi untuk penelitian selanjutnya menekankan diversifikasi metodologis, kolaborasi interdisipliner, serta sintesis teoritis guna mendorong integrasi AI yang bertanggung jawab dan efektif dalam industri pariwisata dan perhotelan.
References
Alam, S. S., Masukujjaman, M., Makhbul, Z. K. M., Ali, M. H., Ahmad, I., & Mamun, A. A. (2023). Experience, Trust, eWOM engagement and usage Intention of AI enabled services in hospitality and tourism industry: Moderating Mediating analysis. Journal of Quality Assurance in Hospitality & Tourism, 25(6), 1635–1663. https://doi.org/10.1080/1528008x.2023.2167762
Aria, M., & Cuccurullo, C. (2017). bibliometrix : An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
Bock, D.E., Wolter, J.S. and Ferrell, O.C. (2020). Artificial intelligence: disrupting what we know about services, Journal of Services Marketing, Vol. 34 No. 3, pp. 317-334. https://doi.org/10.1108/JSM-01-2019-0047
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
Cai, W., Richter, S. and McKenna, B. (2019). Progress on technology use in tourism, Journal of Hospitality and Tourism Technology, Vol. 10 No. 4, pp. 651-672. https://doi.org/10.1108/JHTT-07-2018-0068
Chang, M., Walimuni, A. C., Kim, M. C., & Lim, H. S. (2022). Acceptance of tourism blockchain based on UTAUT and connectivism theory. Technology in Society, 71, 102027. https://doi.org/10.1016/j.techsoc.2022.102027
Chaturvedi, R., Verma, S., Ali, F., & Kumar, S. (2023). Reshaping Tourist Experience with AI-Enabled Technologies: A Comprehensive Review and Future Research Agenda. International Journal of Human–Computer Interaction, 40(18), 5517–5533. https://doi.org/10.1080/10447318.2023.2238353
Chen, C., & Wei, Z. (2024). Role of Artificial Intelligence in travel decision making and tourism product selling. Asia Pacific Journal of Tourism Research, 29(3), 239–253. https://doi.org/10.1080/10941665.2024.2317390
Chen, X. (2024). AI and Big Data for Harnessing Machine Learning for Enhanced Data Insights. Journal of Computing and Information Technology, 4(1).
Chi, O. H., Gursoy, D., & Chi, C. G. (2020). Tourists’ Attitudes toward the Use of Artificially Intelligent (AI) Devices in Tourism Service Delivery: Moderating Role of Service Value Seeking. Journal of Travel Research, 61(1), 170-185. https://doi.org/10.1177/0047287520971054 (Original work published 2022)
Choung, H., David, P., & Ross, A. (2022). Trust in AI and Its Role in the Acceptance of AI Technologies. International Journal of Human–Computer Interaction, 39(9), 1727–1739. https://doi.org/10.1080/10447318.2022.2050543
De Bruyn A., Viswanathan V., Beh Y. S., Brock J. K. U., Von Wangenheim F. (2020). Artificial intelligence and marketing: Pitfalls and opportunities. Journal of Interactive Marketing, 51(1), 91–105. https://doi.org/10.1016/j.intmar.2020.04.007
Doborjeh Z., Hemmington N., Doborjeh M., Kasabov N. (2022). Artificial intelligence: A systematic review of methods and applications in hospitality and tourism. International Journal of Contemporary Hospitality Management, 34(3), 1154–1157. https://doi.org/10.1108/IJCHM-06-2021-0767
Dogru T., Line N., Mody M., Hanks L., Abbott J., Acikgoz F., Assaf A., Bakir S., Berbekova A., Bilgihan A., Dalton A., Erkmen E., Geronasso M., Gomez D., Graves S., Iskender A., Ivanov S., Kizildag M., Lee M., . . . Zhang T. (2023). Generative artificial intelligence in the hospitality and tourism industry: Developing a framework for future research. Journal of Hospitality & Tourism Research. Advance online publication. https://doi.org/10.1177/1096348023118866
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296. https://doi.org/10.1016/j.jbusres.2021.04.070
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International journal of information management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
d’Angella, F., Ferilli, G., De Carlo, M., & Buscema, P. M. (2024). Is AI really better than conventional methods to identify the key drivers of firms’ performance? An exploratory study in the hospitality industry. Current Issues in Tourism, 1–8. https://doi.org/10.1080/13683500.2024.2392751
El Archi, Y., & Benbba, B. (2023). The Applications of Technology Acceptance Models in Tourism and Hospitality Research: A Systematic Literature Review. Journal of Environmental Management & Tourism, 14(2), 379-391. DOI:10.14505/jemt.v14.2(66).08
Gajić, T., Ranjbaran, A., Vukolić, D., Bugarčić, J., Spasojević, A., Đorđević Boljanović, J., ... & Rakić, S. R. (2024). Tourists’ willingness to adopt AI in hospitality—Assumption of sustainability in developing countries. Sustainability, 16(9), 3663. https://doi.org/10.3390/su16093663
Gallarza, M., Gil-Saura, I., & Arteaga-Moreno, F. (2023). Bridging service dominant logic and the concept of customer value through higher order indexes: Insights from hospitality experiences. European Journal of Tourism Research, 35, 3510. https://doi.org/10.54055/ejtr.v35i.3104
Geremew, Y. M., Huang, W. J., & Hung, K. (2024). Fuzzy-set qualitative comparative analysis as a mixed-method and analysis technique: a comprehensive systematic review. Journal of Travel Research, 63(1), 3-26. https://doi.org/10.1177/00472875231168619
Ghorbanzadeh, D., Sayed, B.T., Alhitmi, H.K., Hasan, R.A., Aldulaimi, M.H. and Prasad, K. (2025), "Applying UTAUT and experiential consumption theory to understand the adoption of ChatGPT’s digitalized itinerary", Journal of Hospitality and Tourism Insights, https://doi.org/10.1108/JHTI-02-2025-0300
Go, H., Kang, M. and Suh, S.C. (2020), "Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge", Tourism Review, Vol. 75 No. 4, pp. 625-636. https://doi.org/10.1108/TR-02-2019-0062
Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019). Consumers acceptance of artificially intelligent (AI) device use in service delivery. International Journal of Information Management, 49, 157–169. https://doi.org/10.1016/j.ijinfomgt.2019.03.008
Hu, Y., & Min, H. K. (2025). Information transparency, privacy concerns, and customers' behavioral intentions regarding AI-powered hospitality robots: A situational awareness perspective. Journal of Hospitality and Tourism Management, 63, 177-184. https://doi.org/10.1016/j.jhtm.2025.04.003
Huang, A., Ozturk, A. B., Zhang, T., de la Mora Velasco, E., & Haney, A. (2024). Unpacking AI for hospitality and tourism services: Exploring the role of perceived enjoyment on future use intentions. International Journal of Hospitality Management, 119, 103693. https://doi.org/10.1016/j.ijhm.2024.103693
Huang A., Chao Y., de la Mora Velasco E., Bilgihan A., Wei W. (2021). When artificial intelligence meets the hospitality and tourism industry: An assessment framework to inform theory and management. Journal of Hospitality and Tourism Insights, 5(5), 1080–1100. https://doi.org/10.1108/JHTI-01-2021-0021
Huang M. H., Rust R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
Hyunsu Kim, Kevin Kam Fung So, Jochen Wirtz, Service robots: Applying social exchange theory to better understand human–robot interactions, Tourism Management, Volume 92, 2022, 04537, ISSN 0261-5177, https://doi.org/10.1016/j.tourman.2022.104537.
Ivanov, S., & Umbrello, S. (2021). The ethics of artificial intelligence and robotization in tourism and hospitality-A conceptual framework and research agenda. Journal of Smart Tourism, 1(4), 9-18. https://doi.org/10.52255/smarttourism.2021.1.4.3
Jabeen, F., Al Zaidi, S. and Al Dhaheri, M.H. (2022), "Automation and artificial intelligence in hospitality and tourism", Tourism Review, Vol. 77 No. 4, pp. 1043-1061. https://doi.org/10.1108/TR-09-2019-0360
Kim H., So K. K. F. (2022). Two decades of customer experience research in hospitality and tourism: A bibliometric analysis and thematic content analysis. International Journal of Hospitality Management, 100, Article 103082. https://doi.org/10.1016/j.ijhm.2021.103082
Knani M., Echchakoui S., Ladhari R. (2022). Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda. International Journal of Hospitality Management, 107, Article 103317. https://doi.org/10.1016/j.ijhm.2022.103317
Kong H., Wang K., Qiu X., Cheung C., Bu N. (2023). 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
Koseoglu, M. A., Rahimi, R., Okumus, F., & Liu, J. (2016). Bibliometric studies in tourism. Annals of Tourism Research, 61, 180–198. https://doi.org/10.1016/j.annals.2016.10.006
Kumar, S., Sahoo, S., Lim, W. M., Kraus, S., & Bamel, U. (2022). Fuzzy-set qualitative comparative analysis (fsQCA) in business and management research: A contemporary overview. Technological Forecasting and Social Change, 178, 121599. https://doi.org/10.1016/j.techfore.2022.121599
Kuo, C.-M., Chen, L.-C. and Tseng, C.-Y. (2017), "Investigating an innovative service with hospitality robots", International Journal of Contemporary Hospitality Management, Vol. 29 No. 5, pp. 1305-1321. https://doi.org/10.1108/IJCHM-08-2015-0414
Kırtıl, İ. G., & Aşkun, V. (2021). Artificial Intelligence in Tourism: A Review and Bibliometrics Research. Advances in Hospitality and Tourism Research (AHTR), 9(1), 205-233. https://doi.org/10.30519/ahtr.801690
Latour, B. (2005). Reassembling the social. In Oxford University Press eBooks. https://doi.org/10.1093/oso/9780199256044.001.0001
Le, M. T. H., Tran, C. M., Pham, T. T. M., Pham, C. N. L., & Nguyen, D. P. (2024). AI chatbot: increasing emotional efficacy in tourism through anthropomorphic theory of acceptance model. International Journal of Tourism Anthropology, 9(4), 300-331. DOI: 10.1504/IJTA.2024.143397
Li, M., Yin, D., Qiu, H., & Bai, B. (2021). A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations. International Journal of Hospitality Management, 95, 102930. https://doi.org/10.1016/j.ijhm.2021.102930.
Lukas Grundner, Barbara Neuhofer, The bright and dark sides of artificial intelligence: A futures perspective on tourist destination experiences, Journal of Destination Marketing & Management, Volume 19, 2021, 00511, ISSN 2212-571X https://doi.org/10.1016/j.jdmm.2020.100511.
Manthiou, A., Klaus, P., Kuppelwieser, V. G., & Reeves, W. (2021). Man vs machine: examining the three themes of service robotics in tourism and hospitality. Electronic Markets, 31, 511-527. DOI:10.1007/s12525-020-00434-3
Mariani, M., & Borghi, M. (2019). Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries. Technological Forecasting and Social Change, 149, 119752. https://doi.org/10.1016/j.techfore.2019.119752
Mariani, M. (2019). Big data and analytics in tourism and hospitality: a perspective article. Tourism Review, 75(1), 299-303. https://doi.org/10.1108/TR-06-2019-0259
Mariani M. M., Perez-Vega R., Wirtz J. (2022). AI in marketing, consumer research and psychology: A systematic literature review and research agenda. Psychology & Marketing, 39(4), 755–776. https://doi.org/10.1002/mar.21619
Mouna Knani, Said Echchakoui, Riadh Ladhari, Artificial intelligence in tourism and hospitality: Bibliometric analysis and research agenda, International Journal of Hospitality Management, Volume 107, 2022, 103317, ISSN 0278-4319, https://doi.org/10.1016/j.ijhm.2022.103317.
Muritala, B. A., Sánchez-Rebull, M.-V., & Hernández-Lara, A.-B. (2020). A Bibliometric Analysis of Online Reviews Research in Tourism and Hospitality. Sustainability, 12(23), 9977. https://doi.org/10.3390/su12239977
Núñez, J. C. S., Gómez‐Pulido, J. A., & Ramírez, R. R. (2024). Machine learning applied to tourism: A systematic review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 14(5), e1549. https://doi.org/10.1002/widm.1549
Palos-Sanchez, P., Saura, J.R. & Correia, M.B. Do tourism applications’ quality and user experience influence its acceptance by tourists?. Rev Manag Sci 15, 1205–1241 (2021). https://doi.org/10.1007/s11846-020-00396-y
Park, E., & Kim, S.-B. (2024). Service Robots in Hospitality and Tourism Before and During the COVID-19: Bibliometric Analysis and Research Agenda. SAGE Open, 14(2). https://doi.org/10.1177/21582440241258281
Pillai, R. and Sivathanu, B. (2020), "Adoption of AI-based chatbots for hospitality and tourism", International Journal of Contemporary Hospitality Management, Vol. 32 No. 10, pp. 3199-3226. https://doi.org/10.1108/IJCHM-04-2020-0259
Prentice, C., Lopes, S. D., & Wang, X. (2020). 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
Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press.
Roy, P., Ramaprasad, B. S., Chakraborty, M., Prabhu, N., & Rao, S. (2024). Customer acceptance of use of artificial intelligence in hospitality services: an Indian hospitality sector perspective. Global Business Review, 25(3), 832-851. https://doi.org/10.1177/0972150920939753
Şengel, Ü. and Işkın, M. (2024), "Intellectual structure on artificial intelligence studies in tourism and hospitality: a bibliometric analysis", Worldwide Hospitality and Tourism Themes, Vol. 16 No. 2, pp. 202-215. https://doi.org/10.1108/WHATT-03-2024-0070
Shin, H.H. and Jeong, M. (2020), "Guests’ perceptions of robot concierge and their adoption intentions", International Journal of Contemporary Hospitality Management, Vol. 32 No. 8, pp. 2613-2633. https://doi.org/10.1108/IJCHM-09-2019-0798
Sousa, A. E., Cardoso, P., & Dias, F. (2024). The use of artificial intelligence systems in tourism and hospitality: the tourists’ perspective. Administrative Sciences, 14(8), 165. https://doi.org/10.3390/admsci14080165
Štilić, A., Puška, A., & Nicić, M. (2025). 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.
Stylos, N. (2020), "Technological evolution and tourist decision-making: a perspective article", Tourism Review, Vol. 75 No. 1, pp. 273-278. https://doi.org/10.1108/TR-05-2019-0167
Toubes, D. R., Araújo Vila, N., & Fraiz Brea, J. A. (2021). Changes in Consumption Patterns and Tourist Promotion after the COVID-19 Pandemic. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1332-1352. https://doi.org/10.3390/jtaer16050075
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
Van Eck, N., & Waltman, L. (2009). Software survey: VOSviewer, a computer program for bibliometric mapping. scientometrics, 84(2), 523-538. https://doi.org/10.1007/s11192-009-0146-3
Vargo, S. L., & Lusch, R. F. (2004). Evolving to a New Dominant Logic for Marketing. Journal of Marketing, 68(1), 1-17. https://doi.org/10.1509/jmkg.68.1.1.24036 (Original work published 2004)
Vitezić, V., & Perić, M. (2021). Artificial intelligence acceptance in services: connecting with Generation Z. The Service Industries Journal, 41(13–14), 926–946. https://doi.org/10.1080/02642069.2021.1974406
Yang, F. X., Li, Y., Li, X., & Yuan, J. (2022). The beauty premium of tour guides in the customer decision-making process: An AI-based big data analysis. Tourism Management, 93, 104575. https://doi.org/10.1016/j.tourman.2022.104575
Zeng, Z., Chen, P. J., & Lew, A. A. (2020). From high-touch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, 22(3), 724–734. https://doi.org/10.1080/14616688.2020.1762118
Zhang, B., Zhu, Y., Deng, J., Zheng, W., Liu, Y., Wang, C., & Zeng, R. (2022). “I Am Here to Assist Your Tourism”: Predicting Continuance Intention to Use AI-based Chatbots for Tourism. Does Gender Really Matter? International Journal of Human–Computer Interaction, 39(9), 1887–1903. https://doi.org/10.1080/10447318.2022.2124345
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Yeni Yuniawati (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

















