Transforming Hotel Management Through Artificial Intelligence Applications
Svetozar Krstic Autor 1, Vladimir Krstic Autor 2, Zoran Vuckovic Autor 3 Autor 1: Academy for Hospitality, Tourism and Wellness, Belgrade, Serbia, Autor 2: Faculty of Applied Ecology Futura, University Metropolitan Belgrade, Serbia,
Abstract _________________________
This paper examines the transformative role of Artificial Intelligence (AI) in reshaping hotel management through enhanced personalization, revenue optimization, and strategic service redesign. Drawing from a systematic literature synthesis and multi-case analysis of over 90 academic and industry sources, five operational domains are identified: natural language processing, robotics and IoT systems, predictive pricing, ethical governance models, and organizational change. The findings underscore AI’s capacity to improve performance metrics and guest satisfaction while amplifying agility and competitive differentiation. However, technological gains must be balanced with ethical imperatives – such as transparency, data stewardship, and algorithmic integrity – to preserve the hospitality industry’s human-centric essence. The study concludes with recommendations for longitudinal assessment, cross-cultural adoption pathways, and governance frameworks to enable responsible innovation and long-term value.
Full Issue _________________________
References
Abrate, G., & Viglia, G. (2019). Personal or product reputation? Optimizing revenues in the sharing economy. Journal of Travel Research, 58(1), 136–148. https://doi.org/10.1177/0047287517746015
Buhalis, D., & Leung, R. (2018). Smart hospitalityInterconnectivity and interoperability towards an ecosystem. International Journal of Hospitality Management, 71, 41–50. https://doi.org/10.1016/j. ijhm.2017.11.011
Buhalis, D., & Sinarta, Y. (2019). Real-time cocreation and nowness service: Lessons from tourism and hospitality. Journal of Travel & Tourism Marketing, 36(5), 563–582. https://doi.org/10.1080/105484 08.2019.1618783
Caliskan-Islam, A., Bryson, J. J., & Narayanan, A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334), 183–186. https://doi.org/10.1126/science.aal4230
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi. org/10.2307/249008
Ferguson, M. (2018). Revenue management advances in hotel revenue management. Journal of Revenue and Pricing Management, 17(1), 3–5. https://doi. org/10.1057/s41272-017-0081-2
Gursoy, D., & Chi, C. G. (2020). Effects of COVID-19 pandemic on hospitality industry: Review of the current situations and a research agenda. Journal of Hospitality Marketing & Management, 29(5), 527–529. https://doi.org/10.1080/19368623.2020.1788231
Ivanov, S., & Umbrello, M. (2021). Ethics of robots and AI in tourism and hospitality: A conceptual framework. In Information and Communication Technologies in Tourism (pp. 237–248). Springer. https://doi.org/10.1007/978-3-030-65785-7_20
Ivanov, S., & Webster, C. (2019). Perceived appropriateness and intention to use service robots in tourism. In Information and Communication Technologies in Tourism (pp. 237–248). Springer. https://doi. org/10.1007/978-3-030-05940-8_20
Ivanov, S., Webster, C., & Berezina, K. (2017). Robots and service automation adoption in tourism and hospitality firms. Revista Turismo & Desenvolvimento, 27–28, 1501–1517.
Ivanov, S., Webster, C., & Seyyedi, P. (2020). Attitudes of consumers toward the implementation of robots within accommodation businesses. Tourism Management, 80, 104134. https://doi.org/10.1016/j.tourman.2020.104134
Krstić, S., Zlatanov, S., & Vučković, Z. (2025). Artificial Intelligence in Hotel Management. In Proceedings of ISCELT 2025, International Symposium
Kuo, C.-M., Chen, L.-C., & Tseng, C.-Y. (2017). Investigating an innovative service model: The case of hotel concierge robots. International Journal of Contemporary Hospitality Management, 29(5), 1305–1324. https://doi.org/10.1108/ IJCHM-09-2015-0498
Leung, R. (2019). Smart hospitality: Taiwan hotel stakeholder perspectives. Tourism Review, 74(1), 50–62. https://doi.org/10.1108/TR-06-2017-0092
Li, J., Bonn, M. A., & Ye, B. H. (2019). Artificial intelligence and robotics awareness of a hotel employee and its impact on turnover intention. Tourism Management, 73, 172–181. https://doi. org/10.1016/j.tourman.2019.02.006
Makivić, N., Novaković, T., & Stanišić, D. (2024). Personalization potential of AI applications in hospitality: Evidence from Serbia and Hungary. South-East European Journal of Economics and Business, 19(1), 45–59. https://doi.org/10.2478/jeb2024-0005
Mariani, M. M., Baggio, R., Fuchs, M., & Höepken, W. (2018). Business intelligence and big data in the hospitality and tourism sector: A systematic review. International Journal of Contemporary Hospitality Management, 30(12), 3514–3554. https://doi. org/10.1108/IJCHM-07-2017-0461
Melián-González, S., & Bulchand-Gidumal, J. (2019). Information technology and front office employees’ performance. International Journal of Hospitality Management, 82, 252–260. https://doi. org/10.1016/j.ijhm.2019.04.004
Murphy, J., Hofacker, C., & Gretzel, U. (2019). Dawning of the age of robots in hospitality and tourism: Challenges for teaching and research. European Journal of Tourism Research, 22, 104–111.
Nira, N. (2025). AI and the personalization–privacy paradox in hospitality. Journal of Hospitality Technology and Ethics, 6(2), 98–112.
Ollano, I., Tanzi, L., & Gallo, G. (2019). Recommender systems in tourism: From theory to practice. Tourism Management Perspectives, 30, 44–52. https://doi.org/10.1016/j.tmp.2019.02.003
Prakash, S., Zhao, H., & De Souza, J. (2025). Strategic deployment of AI in hotels: A review. Journal of Hospitality Strategic Planning, 8(1), 24–38.
Tung, V. W. S., & Law, R. (2017). The potential for tourism and hospitality experience research in human-robot interactions. International Journal of Contemporary Hospitality Management, 29(10), 2498–2513. https://doi.org/10.1108/ IJCHM-09-2016-0490
Tussyadiah, I. (2020). A review of research into automation in tourism. Annals of Tourism Research, 81, 102883. https://doi.org/10.1016/j.annals.2020.102883
Tussyadiah, I. P., & Miller, G. (2019). Perceived impacts of artificial intelligence and responses to positive behaviour change intervention. In Information and Communication Technologies in Tourism (pp. 359–370). Springer. https://doi.org/10.1007/978-3- 030-05940-8_27
Ukpabi, D. C., Karjaluoto, H., Olaleye, S. A., & Mogaji, E. (2019). Influence of offline activities and customer value creation on online travel community continuance usage intention. In Information and Communication Technologies in Tourism (pp. 450–460). Springer.
Vargo, S. L., & Lusch, R. F. (2008). Service-dominant logic: Continuing the evolution. Journal of the Academy of Marketing Science, 36(1), 1–10. https://doi.org/10.1007/s11747-007-0069-6
Wang, K. (2025). Generative AI and cultural adaptation in hotel service delivery. International Journal of Hospitality Futures, 1(1), 9–28.
Webb, T., Schwartz, Z., Xiang, Z., & Singal, M. (2020). Revenue management forecasting: The resiliency of advanced methods during the COVID-19 crisis. International Journal of Hospitality Management, 91, 102768. https://doi.org/10.1016/j. ijhm.2020.102768
Zhu, H., Zeng, D., & Tang, Y. (2023). Algorithmic transparency and trust in AI-driven hotel platforms. Journal of Travel Ethics and Technology, 4(2), 65
Corresponding Author: Svetozar Krstic, Academy for Hospitality, Tourism and Wellness, Belgrade, Serbia, E-mail:skrstic@akademijahtw.bg.edu.rs