Research on the use of artificial intelligence for improving processes in service industry organizations
DOI:
https://doi.org/10.56177/12icmie2025.160Keywords:
artificial intelligence, hospitality industry, digital marketing, customer experienceAbstract
This research explores the impact of Artificial Intelligence (AI) on marketing processes within the hospitality industry, focusing on Romanian entrepreneurial firms. The study highlights the growing role of AI in enhancing customer experience, personalization, campaign automation, and operational efficiency. A comprehensive literature review presents the specific features of hospitality marketing and the increasing integration of digital technologies. The empirical part of the research adopts a descriptive and exploratory quantitative approach, based on a structured questionnaire distributed to managers and employees from hotels, restaurants, and travel agencies. Using IBM SPSS Statistics, the analysis demonstrates a moderate to high level of AI adoption, with significant improvements reported in customer retention, conversion rates, and return on investment. At the same time, the research identifies challenges such as high implementation costs, limited technical expertise, and cultural resistance. Findings also reveal differences between large organizations and small and medium-sized enterprises in terms of digital maturity and capacity to implement AI-driven solutions. The study contributes to both academic and practical debates by offering new insights into how AI can reshape hospitality marketing, while emphasizing the importance of staff training, ethical data usage, and strategic investment in digital infrastructure.
References
Bilgihan, A., & Ricci, P. (2023). The impact of technology on hospitality customer experiences. Journal of Hospitality and Tourism Technology.
Buttle, F. A., Bowie, D., Brookes, M., & Mariussen, A. (2023). Hospitality marketing: Principles and practices (4th ed.). Routledge.
Cadwalladr, C., & Graham-Harrison, E. (2018, March 17). Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach. The Guardian. https://www.theguardian.com
Choi, E. K., Fowler, D., Goh, B., & Yuan, J. (2016). Social media marketing: Applying the uses and gratifications theory in the hotel industry. Journal of Hospitality Marketing & Management, 25(7), 771–796.
Dev, C. S., Buschman, J. D., & Bowen, J. T. (2010). Hospitality marketing management. Wiley.
Dwivedi, Y. K., Kapoor, K. K., & Chen, H. (2015). Social media marketing and advertising. The Marketing Review, 15(3), 289–309.
Epuran, G., Filipe, L., & Căescu, S. C. (2015). Marketing în ospitalitate. Editura Universitară.
George, R. (2021). Introduction to hospitality and tourism. Goodfellow Publishers.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press.
Isaak, J., & Hanna, M. J. (2018). User data privacy: Facebook, Cambridge Analytica, and privacy protection. Computer, 51(8), 56–59.
Ivanov, S., & Webster, C. (2017). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27(28), 1501–1517.
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.
Lukanova, G., & Ilieva, G. (2019). Robots, artificial intelligence and service automation in hotels. In I. S. Ivanov & C. Webster (Eds.), Robots, artificial intelligence, and service automation in travel, tourism and hospitality (pp. 157–183). Emerald.
Mariani, M., Borghi, M., & Cappa, F. (2023). Online review helpfulness and firms’ disclosure strategies: Implications for the hospitality industry. Tourism Management, 95, 104–115.
Mavitha, T., & Shekhar, R. (2025). Social media marketing and influencer collaborations in tourism. Journal of Digital Tourism Studies, 12(2), 87–104.
Osman, H., Brown, L., & Phung, V. H. (2022). Artificial intelligence in hospitality services: Benefits and challenges. International Journal of Contemporary Hospitality Management, 34(7), 2471–2490.
Russell, S. J., & Norvig, P. (2016). Artificial intelligence: A modern approach (3rd ed.). Pearson.
Simões, J., Ferreira, A., & Costa, C. (2024). Data-driven CRM systems in hospitality: Leveraging AI for personalized customer experiences. Journal of Hospitality and Tourism Insights.
Tufekci, Z. (2015). Algorithmic harms beyond Facebook and Google: Emergent challenges of computational agency. Colorado Technology Law Journal, 13(1), 203–218.
Veseli, A., Petrova, M., & Dimoski, D. (2025). Predictive analytics in hospitality marketing: Opportunities and challenges. International Journal of Hospitality Marketing Research, 8(1), 45–63.
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Copyright (c) 2025 Cristina VASILESCU, Gheorghe MILITARU
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