Artificial intelligence in hospitality: a review of contemporary research and development perspectives

Authors

  • Miloš Zrnić Academy of Applied Studies Belgrade, College of Hotel Management, Belgrade, Serbia

DOI:

https://doi.org/10.71159/bizinfo260009Z

Keywords:

artificial intelligence, hospitality, digital transformation, guest experience, sustainability

Abstract

Artificial intelligence (AI) is transforming the hospitality industry by reshaping traditional service practices and managerial approaches. This literature review provides an overview of recent academic research on the application of AI in hospitality. Relevant studies were collected from major academic databases, including Scopus, Web of Science, and ScienceDirect, covering the period from 2019 to 2025. The review focuses on key areas of AI implementation, including automation, personalized services, and data-driven management. The findings indicate that AI enhances operational efficiency, supports environmentally responsible business practices, and improves guest satisfaction through personalized service delivery. In addition, AI facilitates predictive analytics, dynamic pricing, and decision-making processes, contributing to cost reduction and increased productivity. The review also highlights the importance of guest perceptions of AI and trust in intelligent systems as critical factors influencing technology adoption. The successful integration of AI in hospitality requires balancing technological innovation with human values and ethical considerations to ensure long-term sustainability and competitive advantage.

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References

Abd El Kafy, J. H., Eissawy, T. M., & Hasanein, A. M. (2022). Tourists’ perceptions toward using artificial intelligence services in tourism and hospitality. Journal of Tourism, Hotels and Heritage, 5(1), 1–20.

Aguiar-Costa, L. M., Cunha, C. A., Silva, W. K., & Abreu, N. R. (2022). Customer satisfaction in service delivery with artificial intelligence: A meta-analytic study. RAM. Revista de Administração Mackenzie, 23(6), eRAMD220003. https://doi.org/10.1590/1678-6971/eRAMD220003.en

Alotaibi, E. (2020). Application of machine learning in the hotel industry: A critical review. Journal of Association of Arab Universities for Tourism and Hospitality, 18(3), 78–96.

Alsaad, A. (2023). The dual effect of anthropomorphism on customers’ decisions to use artificial intelligence devices in hotel services. Journal of Hospitality Marketing & Management, 32(8), 1048–1076. https://doi.org/10.1080/19368623.2023.2223584

Avula, M., & Sithole, T. (2024). Artificial intelligence’s potential to improve operational efficiency and customer experience in the hospitality and tourism sectors. In Impact of AI and tech-driven solutions in hospitality and tourism (pp. 351–382). IGI Global. https://doi.org/10.4018/979-8-3693-6755-1.ch018

Bhuiyan, M. S. (2024). The role of AI-enhanced personalization in customer experiences. Journal of Computer Science and Technology Studies, 6(1), 162–169. https://doi.org/10.32996/jcsts.2024.6.1.17

Borghi, M., & Mariani, M. M. (2021). Service robots in online reviews: Online robotic discourse. Annals of Tourism Research, 87, 103036. https://doi.org/10.1016/j.annals.2020.103036

Buhalis, D., & Moldavska, I. (2021). In-room voice-based AI digital assistants transforming on-site hotel services and guests’ experiences. In Information and communication technologies in tourism 2021 (pp. 30–44). Springer. https://doi.org/10.1007/978-3-030-65785-7_3

Challoumis, C. (2024). The imperative of skill development in an AI revolution. In XIX International Scientific Conference (pp. 132–168).

Cheah, C. G., Chia, W. Y., Lai, S. F., Chew, K. W., Chia, S. R., & Show, P. L. (2022). Innovation designs of Industry 4.0-based solid waste management: Machinery and digital circular economy. Environmental Research, 213, 113619. https://doi.org/10.1016/j.envres.2022.113619

Chi, O. H., Chi, C. G., Gursoy, D., & Nunkoo, R. (2023). Customer’s acceptance of artificially intelligent service robots: The influence of trust and culture. International Journal of Information Management, 70, 102623. https://doi.org/10.1016/j.ijinfomgt.2023.102623

Chi, O. H., Gursoy, D., & Chi, C. G. (2022). Tourists’ attitudes toward using artificially intelligent (AI) devices in tourism service delivery: The moderating role of service value seeking. Journal of Travel Research, 61(1), 170–185. https://doi.org/10.1177/0047287520971054

Chi, P., Wang, Z., Liao, H., Li, T., Wu, X., & Zhang, Q. (2024). Application of artificial intelligence in the new generation of underwater humanoid welding robots: A review. Artificial Intelligence Review, 57(11), 306. https://doi.org/10.1007/s10462-024-10940-x

Du, H., Li, J., So, K. K. F., & King, C. (2024). Artificial intelligence in hospitality services: Examining consumers’ receptivity to unmanned smart hotels. Journal of Hospitality and Tourism Insights. 8(11), 55-78. https://doi.org/10.1108/JHTI-06-2024-0548

Ferhataj, A., & Memaj, F. (2024). Challenges and opportunities of AI implementation in tourism: An ethical and technological perspective. Studijos–Verslas–Visuomenė: Dabartis ir Ateities Įžvalgos, 1(IX), 217–231. https://doi.org/10.52320/svv.v1iIX.357

Flavián, C., & Casaló, L. V. (2021). Artificial intelligence in services: Current trends, benefits and challenges. The Service Industries Journal, 41(13–14), 853–859. https://doi.org/10.1080/02642069.2021.1989177

Gajić, T., Vukolić, D., Bugarčić, J., Đoković, F., Spasojević, A., Knežević, S., ... & Dávid, L. D. (2024). The adoption of artificial intelligence in Serbian hospitality: A potential path to sustainable practice. Sustainability, 16(8), 3172. https://doi.org/10.3390/su16083172

Goel, P., Kaushik, N., Sivathanu, B., Pillai, R., & Vikas, J. (2022). Consumers’ adoption of artificial intelligence and robotics in hospitality and tourism: Literature review and future research agenda. Tourism Review, 77(4), 1081–1096. https://doi.org/10.1108/TR-03-2021-0138

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

Han, H., Chua, B. L., & Fakfare, P. (2025). Sustainable development goals in tourism in the era of artificial intelligence and robotics. Journal of Travel & Tourism Marketing, 42(4), 379–380. https://doi.org/10.1080/10548408.2025.2486880

Han, H., Kim, S. I., Lee, J. S., & Jung, I. (2025). Understanding the drivers of consumers’ acceptance and use of service robots in the hotel industry. International Journal of Contemporary Hospitality Management, 37(2), 541–559. https://doi.org/10.1108/IJCHM-02-2024-0163

Huang, A., Chao, Y., de la Mora Velasco, E., Bilgihan, A., & Wei, W. (2022). 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

Ivanov, S., & Webster, C. (2019). Conceptual framework of using robots, artificial intelligence, and service automation in travel, tourism, and hospitality companies. In Robots, artificial intelligence, and service automation in travel, tourism, and hospitality (pp. 7–37).

Jayal, A. D., Badurdeen, F., Dillon, O. W., Jr., & Jawahir, I. S. (2010). Sustainable manufacturing: Modeling and optimization challenges at the product, process, and system levels. CIRP Journal of Manufacturing Science and Technology, 2(3), 144–152. https://doi.org/10.1016/j.cirpj.2010.03.006

Kaul, D. (2023). AI-driven real-time inventory management in hotel reservation systems: Predictive analytics, dynamic pricing, and integration for operational efficiency. Emerging Trends in Machine Intelligence and Big Data, 15(10), 66–80.

Khatter, A. (2025). Leveraging technology for environmental sustainability in the hospitality sector: Innovations and strategies. Corporate Social Responsibility and Environmental Management, 32(4), 4523-4534. https://doi.org/10.1002/csr.3200

Kim, H., So, K. K. F., Shin, S., & Li, J. (2025). Artificial intelligence in hospitality and tourism: Insights from industry practices, research literature, and expert opinions. Journal of Hospitality & Tourism Research, 49(2), 366-385. https://doi.org/10.1177/10963480241229235

Li, B., Qi, P., Liu, B., Di, S., Liu, J., Pei, J., et al. (2023). Trustworthy AI: From principles to practices. ACM Computing Surveys, 55(9), 1–46. https://doi.org/10.1145/3555803

Li, F., Zhu, D., Lin, M. T., & Kim, P. B. (2024). The technology acceptance model and hospitality and tourism consumers’ intention to use mobile technologies: Meta-analysis and structural equation modeling. Cornell Hospitality Quarterly, 65(4), 461-477. https://doi.org/10.1177/19389655241226558

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

Limna, P. (2023). Artificial intelligence (AI) in the hospitality industry: A review article. International Journal of Computing Sciences Research, 7, 1306–1317.

Lukanova, G., & Ilieva, G. (2019). Robots, artificial intelligence, and service automation in hotels. In Robots, artificial intelligence, and service automation in travel, tourism and hospitality (pp. 157–183). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78756-687-320191009

Lv, X., Yang, Y., Qin, D., Cao, X., & Xu, H. (2022). Artificial intelligence service recovery: The role of empathic response in hospitality customers’ continuous usage intention. Computers in Human Behavior, 126, 106993. https://doi.org/10.1016/j.chb.2021.106993

Makivić, R., Vukolić, D., Veljović, S., Bolesnikov, M., Dávid, L. D., Ivanišević, A., & Gajić, T. (2024). AI impact on hotel guest satisfaction via tailor-made services: A case study of Serbia and Hungary. Information, 15(11), 700. https://doi.org/10.3390/info15110700

Mariani, M., & Borghi, M. (2021). Customers’ evaluation of mechanical artificial intelligence in hospitality services: A study using online reviews analytics. International Journal of Contemporary Hospitality Management, 33(11), 3956–3976. https://doi.org/10.1108/IJCHM-06-2020-0622

Martínez-Martínez, A., Cegarra Navarro, J. G., García-Pérez, A., & Moreno-Ponce, A. (2019). Environmental knowledge strategy: Driving success of the hospitality industry. Management Research Review, 42(6), 662–680. https://doi.org/10.1108/MRR-02-2018-0091

Milton, T. (2024). Artificial intelligence transforming hotel gastronomy: An in-depth review of AI-driven innovations in menu design, food preparation, and customer interaction, focusing on sustainability and future trends in the hospitality industry. International Journal for Multidimensional Research Perspectives, 2(3), 47–61. https://doi.org/10.61877/ijmrp.v2i3.126

Morosan, C., & Dursun-Cengizci, A. (2024). Letting AI make decisions for me: An empirical examination of hotel guests’ acceptance of technology agency. International Journal of Contemporary Hospitality Management, 36(3), 946–974. https://doi.org/10.1108/IJCHM-08-2022-1041

Negoiţă, R. F., & Borangiu, T. (2023). Robotic process automation of inventory demand with intelligent reservation. Studies in Informatics and Control, 32(2), 5–14.

Olayinka, O. H. (2019). Leveraging predictive analytics and machine learning for strategic business decision-making and competitive advantage. International Journal of Computer Applications Technology and Research, 8(12), 473–486.

Paulose, D., & Shakeel, A. (2022). Perceived experience, perceived value, and customer satisfaction as antecedents of hotel guests’ loyalty. Journal of Quality Assurance in Hospitality & Tourism, 23(2), 447–481. https://doi.org/10.1080/1528008X.2021.1884930

Perkumienė, D. (2025). Legal issues of personal data protection in the electronic space related to tourists’ data. In Tourism and heritage: Shaping sustainable and innovative futures (pp. 435–448). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-81485-3_18

Rane, N., Choudhary, S. P., & Rane, J. (2024). Acceptance of artificial intelligence: Key factors, challenges, and implementation strategies. Journal of Applied Artificial Intelligence, 5(2), 50–70. https://doi.org/10.48185/jaai.v5i2.1017

Rasheed, H. M. W., Yuanqiong, H., Khizar, H. M. U., & Khalid, J. (2024). What drives the adoption of artificial intelligence among consumers in the hospitality sector: A systematic literature review and future agenda. Journal of Hospitality and Tourism Technology, 15(2), 211–231. https://doi.org/10.1108/JHTT-02-2022-0045

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

Ruel, H., & Njoku, E. (2021). AI redefines the hospitality industry. Journal of Tourism Futures, 7(1), 53–66. https://doi.org/10.1108/JTF-03-2020-0032

Sankar, J. G., & David, A. (2023). Measuring the service quality of artificial intelligence in the tourism and hospitality industry. In Handbook of research on innovation, differentiation, and new technologies in tourism, hotels, and food service (pp. 133–155). IGI Global. https://doi.org/10.4018/978-1-6684-6985-9.ch007

Santos, V., & Bacalhau, L. M. (2023). Digital transformation of the retail point of sale in the artificial intelligence era. In Management and marketing for improved retail competitiveness and performance (pp. 200–216). IGI Global. https://doi.org/10.4018/978-1-6684-8574-3.ch010

Saydam, M. B., Arici, H. E., & Koseoglu, M. A. (2022). How does the tourism and hospitality industry use artificial intelligence? A review of empirical studies and future research agenda. Journal of Hospitality Marketing & Management, 31(8), 908–936. https://doi.org/10.1080/19368623.2022.2118923

Selvarajan, G. (2021). Leveraging AI-enhanced analytics for industry-specific optimization: A strategic approach to transforming data-driven decision-making. International Journal of Enhanced Research in Science, Technology & Engineering, 10, 78–84.

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

Wang, X. L., Heo, C. Y., Schwartz, Z., Legohérel, P., & Specklin, F. (2015). Revenue management: Progress, challenges, and research prospects. Journal of Travel & Tourism Marketing, 32(7), 797–811. https://doi.org/10.1080/10548408.2015.1063798

Wang, Y. C., & Uysal, M. (2024). Artificial intelligence-assisted mindfulness in tourism, hospitality, and events. International Journal of Contemporary Hospitality Management, 36(4), 1262–1278. https://doi.org/10.1108/IJCHM-11-2022-1444

Wu, F., Sorokina, N., & Putra, E. D. (2023). Customer satisfaction with robots, artificial intelligence and service automation (RAISA) in the hotel industry: A comprehensive review. Open Journal of Business and Management, 11(3), 1227–1247. https://doi.org/10.4236/ojbm.2023.113069

Yang, L., Henthorne, T. L., & George, B. (2020). Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends. In Digital transformation in business and society: Theory and cases (pp. 211–228). https://doi.org/10.1007/978-3-030-08277-2_13

Zahidi, F., Kaluvilla, B. B., & Mulla, T. (2024). Embracing the new era: Artificial intelligence and its multifaceted impact on the hospitality industry. Journal of Open Innovation: Technology, Market, and Complexity, 10(4), 100390. https://doi.org/10.1016/j.joitmc.2024.100390

Zrnić, M., Jovanović, D., & Novaković, M. (2024). Exploring the nexus of sustainable tourism gastronomy experiences and artificial intelligence: A path toward enhanced environmental stewardship and guest satisfaction. BizInfo Blace, 15(2), 59–64. https://doi.org/10.5937/bizinfo2402059Z

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2026-04-24

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How to Cite

Zrnić, M. (2026). Artificial intelligence in hospitality: a review of contemporary research and development perspectives. BizInfo Blace. https://doi.org/10.71159/bizinfo260009Z

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