Embracing intelligent hospitality: exploring Romanian consumers’ acceptance of AI and robotic technologies
Type of paper: Research Article
Authors
Andreea-Elena Nisipeanu
Corresponding AuthorAffiliation: University of Economic Studies / Faculty of Business and Tourism
Antonio-Valentin Stoian
Affiliation: University of Economic Studies / Faculty of Business and Tourism
Email: stoianantonio20@stud.ase.ro
How to Cite
Nisipeanu, A. E. & Stoian, A. V. (2026). Embracing intelligent hospitality: exploring Romanian consumers’ acceptance of AI and robotic technologies. CACTUS - Journal of Tourism Business, Management and Economics, 8 (1), 95-110.
© 2026 The Author(s);
Licensed under CC BY-NC 4.0
Abstract
This paper examines the role of robots in the hospitality industry through their large-scale implementation, highlighting several relevant issues. The integration of advanced technologies has become a key pillar of the hospitality industry, particularly in the tourism sector. In recent years, ongoing digitalization has led to significant transformations in the tourism ecosystem. Today, the hospitality industry serves as a dynamic testing ground and implementation site for smart technologies, especially service robots. The need to increase efficiency, personalization, and service flexibility according to tourists’ preferences has encouraged the adoption of intelligent technologies, whose acceptance varies depending on the cultural characteristics of each country. To explore the acceptance of robots and the intention to use them in hotels, this study integrates key theoretical and methodological elements, focusing on the Technology Acceptance Model (TAM). Data were collected from a sample of 109 individuals in October 2025, and the hypotheses were tested using SmartPLS software. The model employed in this study shows that understanding and acceptance are influenced by perceived ease of use, perceived usefulness, and self-efficacy, each mediated by individuals’ attitudes toward adopting robots. This study contributes to understanding how to integrate robots and smart technologies within the hospitality industry, providing insights into strategies for integrating robots based on respondents’ opinions.
Keywords
JEL Classification
References
Alghamdi, S. (2024). Unraveling the factors affecting behavioral intentions towards service robots in the hotel industry: A technology acceptance model approach. Journal of Electrical Systems, 20(9s). https://journal.esrgroups.org/jes/article/view/4658
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411
Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.
Barclay, D., Higgins, C., & Thompson, R. (1995). The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Technology Studies, 2(2), 285-309.
Begum, N., Nishat Faisal, M., Sobh, R., Nunkoo, R., & Rana, N. P. (2025). Consumers acceptance of service robots in hotels: A meta-analytic review. International Journal of Hospitality Management, 126, 104052. https://doi.org/10.1016/j.ijhm.2024.104052
Bowen, J., & Morosan, C. (2018). Beware hospitality industry: The robots are coming. Worldwide Hospitality and Tourism Themes, 10(6), 726-733. https://doi.org/10.1108/WHATT-07-2018-0045
Cambridge Dictionary. (2025). Robotization. In Cambridge Dictionary. https://dictionary.cambridge.org/
dictionary/english/robotization
Chiang, A.-H., & Trimi, S. (2020). Impacts of service robots on service quality. Service Business, 14(3), 439-459. https://doi.org/10.1007/s11628-020-00423-8
Choi, Y., Choi, M., Oh, M., & Kim, S. (2020). Service robots in hotels: Understanding the service quality perceptions of human-robot interaction. Journal of Hospitality Marketing & Management, 29(6),
613-635. https://doi.org/10.1080/19368623.2020.1703871
Collier, R. M. (1983). The word processor and revision strategies. College Composition & Communication, 34(2), 146-148. https://doi.org/10.58680/ccc198315280
Dahlin, E. (2019). Are robots stealing our jobs? Socius: Sociological Research for a Dynamic World, 5, 2378023119846249. https://doi.org/10.1177/2378023119846249
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
Drexler, N., & Lapré, V. B. (2019). For better or for worse: Shaping the hospitality industry through robotics and artificial intelligence. Research in Hospitality Management, 9(2), 117-120. https://doi.org/10.1080/
22243534.2019.1689701
Fuentes-Moraleda, L., Díaz-Pérez, P., Orea-Giner, A., Muñoz-Mazón, A., & Villacé-Molinero, T. (2020). Interaction between hotel service robots and humans: A hotel-specific service robot acceptance model (sRAM). Tourism Management Perspectives, 36, 100751. https://doi.org/10.1016/j.tmp.2020.100751
Gao, Y., Chang, Y., Yang, T., & Yu, Z. (2024). Consumer acceptance of social robots in domestic settings: A human-robot interaction perspective. Journal of Retailing and Consumer Services, 82, 104075. https://doi.org/10.1016/j.jretconser.2024.104075
Giger, J.-C., Piçarra, N., Pochwatko, G., Almeida, N., & Almeida, A. S. (2025). Intention to work with social robots: The role of perceived robot use self-efficacy, attitudes towards robots, and beliefs in human nature uniqueness. Multimodal Technologies and Interaction, 9(2), 9. https://doi.org/10.3390/mti9020009
Golubovskaya, M., Robinson, R. N. S., & Solnet, D. (2017). The meaning of hospitality: Do employees understand? International Journal of Contemporary Hospitality Management, 29(5), 1282-1304. https://doi.org/10.1108/IJCHM-11-2015-0667
Gomezelj, D. O. (2016). A systematic review of research on innovation in hospitality and tourism. International Journal of Contemporary Hospitality Management, 28(3), 516-558. https://doi.org/10.1108/IJCHM-10-2014-0510
Grobbelaar, W., & Verma, A. (2024). Future employments in the hospitality industry. In V. K. Shukla, A. Verma, & J. P. G. Lucop (Eds.), Artificial intelligence for smart technology in the hospitality and tourism industry (pp. 77-104). Apple Academic Press. https://doi.org/10.1201/9781003432951-6
Gutierriz, I., Ferreira, J. J., & Fernandes, P. O. (2025). Digital transformation and the new combinations in tourism: A systematic literature review. Tourism and Hospitality Research, 25(2), 194-213. https://doi.org/10.1177/14673584231198414
Hair, J., & Sabol, M. (2025). Partial least squares structural equation modeling (PLS-SEM): A rapidly
emerging SEM alternative. In M. Lovric (Ed.), International encyclopedia of statistical science
(2nd ed., pp. 1880-1882). Springer. https://doi.org/10.1007/978-3-662-69359-9_466
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8
Ivanov, D., Dolgui, A., & Sokolov, B. (2022). Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”. Transportation Research Part E: Logistics and Transportation Review, 160, 102676. https://doi.org/10.1016/j.tre.2022.102676
Ivanov, S. (2024). Is “machina” a “deus ex machina” solution to the labour shortages in tourism and hospitality? Worldwide Hospitality and Tourism Themes, 16(5), 566-570. https://doi.org/10.1108/WHATT-06-2024-0113
Ivanov, S., & Webster, C. (2019). Conceptual framework of the use of robots, artificial intelligence and service automation in travel, tourism, and hospitality companies. In S. Ivanov & C. Webster (Eds.), Robots, artificial intelligence, and service automation in travel, tourism and hospitality (pp. 7-37). Emerald Publishing. https://doi.org/10.1108/978-1-78756-687-320191001
Ivanov, S., Seyitoğlu, F., & Markova, M. (2020). Hotel managers’ perceptions towards the use of robots: A mixed-methods approach. Information Technology & Tourism, 22(4), 505-535. https://doi.org/10.1007/s40558-020-00187-x
Kim, S., Kim, J., Badu-Baiden, F., Giroux, M., & Choi, Y. (2021). Preference for robot service or human service in hotels? Impacts of the COVID-19 pandemic. International Journal of Hospitality Management, 93, 102795. https://doi.org/10.1016/j.ijhm.2020.102795
Kim, S., Kim, P. B., Kim, S., & Kruesi, M. A. (2020). An examination of the progressive effects of hotel frontline employees’ brand perceptions on desirable service outcomes. International Journal of Hospitality Management, 84, 102334. https://doi.org/10.1016/j.ijhm.2019.102334
Koo, M., & Yang, S.-W. (2025). Likert-type scale. Encyclopedia, 5(1), 18. https://doi.org/10.3390/
encyclopedia5010018
Kulviwat, S., Bruner II, G. C., Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a unified theory of consumer acceptance technology. Psychology & Marketing, 24(12), 1059-1084. https://doi.org/10.1002/mar.20196
Lim, S., Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., Duh, H. B. L., & Choolani, M. (2011). A study on Singaporean women’s acceptance of using mobile phones to seek health information. International Journal of Medical Informatics, 80(12), e189-e202. https://doi.org/10.1016/j.ijmedinf.2011.08.007
Lim, W. M. (2025). What is quantitative research? An overview and guidelines. Australasian Marketing Journal, 33(3), 325-348. https://doi.org/10.1177/14413582241264622
Lim, W. M., Jasim, K. M., & Malathi, A. (2025). Service robots in healthcare: Toward a healthcare service robot acceptance model (sRAM). Technology in Society, 82, 102932. https://doi.org/10.1016/
j.techsoc.2025.102932
Liu, G. G., Benckendorff, P., & Walters, G. (2024). Human–Robot interaction research in hospitality and tourism: Trends and future directions. Tourism Review, 80(4), 847-870. https://doi.org/10.1108/TR-04-2024-0266
Mariani, M., Baggio, R., Fuchs, M., & Höepken, W. (2018). Business intelligence and big data in hospitality and tourism: A systematic literature review. International Journal of Contemporary Hospitality Management, 30(12), 3514-3554. https://doi.org/10.1108/IJCHM-07-2017-0461
Nam, K., Dutt, C. S., Chathoth, P., Daghfous, A., & Khan, M. S. (2021). The adoption of artificial intelligence and robotics in the hotel industry: Prospects and challenges. Electronic Markets, 31(3), 553-574. https://doi.org/10.1007/s12525-020-00442-3
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
Nysveen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330-346. https://doi.org/10.1177/0092070305276149
Or, C. K. L., Karsh, B.-T., Severtson, D. J., Burke, L. J., Brown, R. L., & Brennan, P. F. (2011). Factors affecting home care patients’ acceptance of a web-based interactive self-management technology. Journal of the American Medical Informatics Association, 18(1), 51-59. https://doi.org/10.1136/jamia.2010.007336
Palrão, T., Rodrigues, R. I., Madeira, A., Mendes, A. S., & Lopes, S. (2023). Robots in tourism and hospitality: The perception of future professionals. Human Behavior and Emerging Technologies, 2023(1), 7172152. https://doi.org/10.1155/2023/7172152
Park, S. (2020). Multifaceted trust in tourism service robots. Annals of Tourism Research, 81, 102888. https://doi.org/10.1016/j.annals.2020.102888
Petschnig, M., Heidenreich, S., & Spieth, P. (2014). Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption. Transportation Research Part A: Policy and Practice, 61, 68-83. https://doi.org/10.1016/j.tra.2014.01.001
Pham, H. C., Duong, C. D., & Nguyen, G. K. H. (2024). What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus-organism-response perspective. Journal of Retailing and Consumer Services, 78, 103758. https://doi.org/10.1016/j.jretconser.2024.103758
Reiser, U., Jacobs, T., Arbeiter, G., Parlitz, C., & Dautenhahn, K. (2013). Care-O-bot 3—Vision of a robot butler. In R. Trappl (Ed.), Your virtual butler: The making-of (pp. 97-116). Springer. https://doi.org/10.1007/978-3-642-37346-6_9
Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). The Free Press. https://teddykw2.wordpress.com/wp-content/uploads/2012/07/everett-m-rogers-diffusion-of-innovations.pdf
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. În C. Homburg, M. Klarmann, & A. E. Vomberg (Eds.), Handbook of market research (pp. 1-47). Springer. https://doi.org/10.1007/978-3-319-05542-8_15-2
Savela, N., Turja, T., & Oksanen, A. (2018). Social acceptance of robots in different occupational fields: A systematic literature review. International Journal of Social Robotics, 10(4), 493-502. https://doi.org/10.1007/s12369-017-0452-5
Shukla, V. K., Verma, A., & Lacap, J. P. G. (Eds.). (2024). Artificial intelligence for smart technology in the hospitality and tourism industry. Apple Academic Press. https://doi.org/10.1201/9781003432951
Tuomi, A., Tussyadiah, I. P., & Stienmetz, J. (2021). Applications and implications of service robots in hospitality. Cornell Hospitality Quarterly, 62(2), 232-247. https://doi.org/10.1177/1938965520923961
Wang, S., Fan, J., Zhao, D., Yang, S., & Fu, Y. (2016). Predicting consumers’ intention to adopt hybrid electric vehicles: Using an extended version of the theory of planned behavior model. Transportation, 43(1), 123-143. https://doi.org/10.1007/s11116-014-9567-9
World Intellectual Property Organization. WIPO. (2025). Global Innovation Index 2025: Innovation at a crossroads (18th ed.). https://www.wipo.int/gii-ranking/en
Yang, L., Henthorne, T. L., & Babu, G. (2020). Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends. In G. Babu & J. Paul (Eds.), Digital transformation in business and society: Theory and cases (pp. 211-228). Springer International Publishing. https://doi.org/10.1007/978-3-030-08277-2_13
Zhong, L., Zhang, X., Rong, J., Chan, H. K., Xiao, J., & Kong, H. (2020). Construction and empirical research on acceptance model of service robots applied in hotel industry. Industrial Management & Data Systems, 121(6), 1325-1352. https://doi.org/10.1108/IMDS-11-2019-0603