Automated service delivery in hotels: balancing efficiency and human interaction for optimal guest satisfaction


  • Dušan Mandić Singidunum University, Belgrade, Serbia
  • Aleksa Panić Singidunum University, Belgrade, Serbia
  • Marko Čičin Šain His d.o.o., Zagreb, Croatia



The area of implementation of automated business in the tourism and hospitality sector attracts increasing attention due to the difference compared to the traditional way of providing service, which is characterized by warmth and interpersonal communication. With the increase in automation technologies in the hospitality industry, it is essential to examine how these systems affect the guest's satisfaction and the delicate balance between efficiency and human interaction. Automated service delivery in hotels offers numerous benefits, including streamlined operations, faster service, reduced waiting times, reduced staff workload along with others. Technologies such as self-check-in kiosks, automated concierge services, and robotic assistants have the potential to enhance efficiency and convenience for guests. However, finding the right balance between automation and human interaction is essential to ensure optimal guest satisfaction. This paper aims to explore the challenges and opportunities associated with automated service delivery in hotels. It examines the impact of reduced human interaction on guest satisfaction, considering factors such as personalisation, emotional connection, and perception of service quality. It also addresses the challenges that arise from implementing automated systems, including costs, guest adaptation, need for proper staff training, cultural differences, resistance of employees and guests to technology, etc. This paper emphasises the importance of leveraging automation to improve efficiency while preserving key aspects of personalised guest experiences and high-quality service. In the paper, preliminary results are presented that support all the previously mentioned points, with the note that they are subject to change because the survey is still active, and data is still being collected. Ultimately, finding the right balance between efficiency and human interaction is crucial forachieving optimal guest satisfaction in an automated hotel environment.


Alrawadieh, Z., Alrawadieh, Z., & Cetin, G. (2020). Digital transformation and revenue management: Evidence from the hotel industry. Tourism Economics, 27(2), 328-345.

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.

Belias, D., & Vasiliadis, L. (2022). Robots on the Tourist Industry—A Review for Future Research Directions. In V. Katsoni & A.C. Şerban (Eds.), 8th International Conference Transcending Borders in Tourism Through Innovation and Cultural Heritage IACuDiT (pp. 369-385). Springer International Publishing.

Berry, L. L., Carbone, L. P., & Haeckel, S. H. (2002, April). Managing the total customer experience. MIT Sloan management review, 43(3), 1-6.

Bowen, J. & Morosan, C. (2018). Beware hospitality industry: the robots are coming. Worldwide Hospitality and Tourism Themes, 10(6), 726–733

Brylska, P., Cobanoglu, C., & Dogan, S. (2022). Users versus non-users: The impact of experience on hotel guests’ attitudes towards service robots in hotels. In J.L. Stienmetz, B. Ferrer-Rosell & D. Massimo (Eds.), Proceedings of the ENTER 2022 eTourism Conference Information and Communication Technologies in Tourism 2022 (pp. 55-66). Springer International Publishing.

Buhalis, D., & Moldavska, I. (2021). In-room voice-based AI digital assistants transforming on-site hotel services and guests’ experiences. In W. Wörndl, C. Koo, J.L. Stienmetz (Eds.), Proceedings of the ENTER 2021 eTourism Conference Information and Communication Technologies in Tourism 2021 (pp. 30-44). Springer International Publishing.

Cobanoglu, C., Berezina, K., Kasavana, M. L., & Erdem, M. (2011). The impact of technology amenities on hotel guest overall satisfaction. Journal of Quality Assurance in Hospitality & Tourism, 12(4), 272-288.

de Kervenoael, R., Hasan, R., Schwob, A., & Goh, E. (2020). Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots. Tourism Management, 78, 104042.

Dutta, S., Lanvin, B., Wunsch-Vincent, S., León, L.R. (2022). Global Innovation Index 2022: What is the Future of Innovation-driven Growth?.

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.

Ivanov, S. H., Webster, C., & Berezina, K. (2017). Adoption of robots and service automation by tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27(28), 1501-1517.

Ivanov, S., Webster, C., & Seyyedi, P. (2018). Consumers' attitudes towards the introduction of robots in accommodation establishments. Tourism: An International Interdisciplinary Journal, 66(3), 302-317.

Ivanov, S.H., & Webster, C. (2017). Adoption of Robots, Artificial Intelligence and Service Automation by Travel, Tourism and Hospitality Companies – A Cost-Benefit Analysis (2017). In M. Assenova (Ed.), International Scientific Conference "Contemporary Tourism – Traditions and Innovations" (168-179). Geography of Tourism Department at Sofia University “St. Kliment Ohridski”.

Koerten, K., & Abbink, D. (2022). Hospitality robotics: Analysing and predicting impact via interaction diagrams. ROBONOMICS: The Journal of the Automated Economy, 3, 1-16.

Kuo, C-M., Chen, L-C., & Tseng, C-Y. (2017). Investigating an innovative service with hospitality robots. International Journal of Contemporary Hospitality Management, 29(5), 1305–1321.

Lukanova, G. & Ilieva, G. (2019). Robots, Artificial Intelligence and Service Automation in Hotels. In S. Ivanov & C. Webster (Eds.), Robots, Artificial Intelligence, and Service Automation in Travel, Tourism, and Hospitality (pp. 157-183). Emerald Publishing Limited.

Sigala, M. (2020). Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research. Journal of Business Research, 117, 312-321.

Tavitiyaman, P., Zhang, X., & Tsang, W. Y. (2022). How tourists perceive the usefulness of technology adoption in hotels: Interaction effect of past experience and education level. Journal of China Tourism Research, 18(1), 64-87.

Vermeulen, I. E., & Seegers, D. (2009). Tried and tested: The impact of online hotel reviews on consumer consideration. Tourism management, 30(1), 123-127.

Wang, D., Xiang, Z., & Fesenmaier, D. R. (2014). Adapting to the mobile world: A model of smartphone use. Annals of Tourism Research, 48, 11-26.

Xie, M., & Kim, H. B. (2022). User acceptance of hotel service robots using the quantitative kano model. Sustainability, 14(7), 3988.

Zeng, Z., Chen, P-J & Lew, A.A. (2020). From hightouch to high-tech: COVID-19 drives robotics adoption. Tourism Geographies, 22(3), 724-734.




How to Cite

Mandić, D., Panić, A., & Čičin Šain, M. (2023). Automated service delivery in hotels: balancing efficiency and human interaction for optimal guest satisfaction. International Scientific Conference on Economy, Management and Information Technologies, 1(1), 167–174.