Tourism Industry in the Era of the Fourth Industrial Revolution: Personalized Marketing and the Role of Artificial Intelligence
Keywords:
Personalized marketing, Artificial intelligence, Fourth Industrial Revolution, Tourism industryAbstract
This study aims to present a comprehensive conceptual framework for integrating artificial intelligence into personalized marketing within the tourism industry during the era of the Fourth Industrial Revolution. It examines the role of this technology in enhancing traveler experiences and improving marketing strategies. Using a qualitative research approach and semi-structured interviews with 11 experts in the fields of marketing, artificial intelligence, and technologies related to the Fourth Industrial Revolution, data were collected and analyzed through thematic analysis. Based on the analysis, a conceptual framework was developed from 219 concepts extracted from the data. The findings of the study indicate that artificial intelligence can play a pivotal role in data management, enabling the analysis of big data and identification of traveler behavior patterns, predicting preferences and needs through machine learning algorithms, and designing precise marketing strategies to deliver personalized travel services and experiences. These capabilities significantly enhance the effectiveness of marketing strategies in the tourism industry. The proposed conceptual framework not only contributes new insights to the scientific literature on marketing and artificial intelligence but also serves as a practical guide for tourism organizations and travel service providers to effectively leverage artificial intelligence in developing personalized marketing strategies and enhancing the traveler experience.
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Agarwal, R., Dugas, M., Gao, G., & Kannan, P. K. (2020). Emerging technologies and analytics for a new era of value-centered marketing in healthcare. Journal of the Academy of Marketing Science, 48(2), 9-23. https://doi.org/10.1007/s11747-019-00692-4
Ardito, L., Petruzzelli, A. M., Panniello, U., & Garavelli, A. C. (2019). Towards industry 4.0: Mapping digital technologies for supply chain management-marketing integration. Bus. Process Manag. J., 25, 323-346. https://doi.org/10.1108/BPMJ-04-2017-0088
Asoudi, G., Vazifehdoust, H., & Mehraeen, M. (2021). Investigating the Role of Artificial Intelligence Applications in Tourist Attraction in the Fourth Industrial Revolution. The 1st International Conference on Industrial Marketing Management, Tehran. https://civilica.com/doc/1227048/
Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022). Personalization in personalized marketing: Trends and ways forward. Psychology & Marketing, 39(8), 1529-1562. https://doi.org/10.1002/mar.21670
Dumitriu, D., & Popescu, M. A. M. (2020). Artificial intelligence solutions for digital marketing. Procedia Manuf., 46, 630-636. https://doi.org/10.1016/j.promfg.2020.03.090
Eswaran, U., Eswaran, V., & Eswaran, V. (2024). AI Technologies for Personalised and Sustainable Tourism. https://doi.org/10.4018/979-8-3693-5678-4.ch001
Fredström, V., Parida, J., Wincent, J., Sjödin, D., & Oghazi, P. (2022). what is the market value of artificial intelligence and machine learning? The role of innovativeness and collaboration for performance. Techno. Forecast. Soc. Change, 180. https://doi.org/10.1016/j.techfore.2022.121716
George, W., Oliver, J., William, L., & Brown. (2024). Exploring the Use of Artificial Intelligence in Personalizing Marketing Campaigns.
Kaplan. (2021). Artificial intelligence, marketing, and the fourth industrial revolution: criteria, concerns, cases. IGI Global. https://doi.org/10.4018/978-1-7998-5077-9.ch001
Mandeep, Y., Amitesh, K., & Rachit, J. (2024). The Use of AI in Personalized Marketing: Balancing Benefits and Privacy Concerns.
Mishra, S., Mansurali, A., & Perumal Naidu, J. (2024). AI-Driven Personalization in Tourism Services. https://doi.org/10.4018/979-8-3693-7388-0.ch001
Nazari, M., Heydarzadeh, A., & Mostasharnezami, I. (2024). Investigating the Acceptance of Marketing with Artificial Intelligence in the Hotel Industry (Kish Island Hotels). The 2nd National Conference on Marketing (New Approach), Mashhad. https://civilica.com/doc/2131597/
Noranee, S., & bin Othman, A. K. (2023). Understanding Consumer Sentiments: Exploring the Role of Artificial Intelligence in Marketing. JMM17: Jurnal Ilmu ekonomi dan manajemen, 10(1), 15-23. https://doi.org/10.30996/jmm17.v10i1.8690
Nwachukwu, D., & Affen, M. P. (2023). Artificial intelligence marketing practices: The way forward to better customer experience management in Africa (Systematic Literature Review). International Academy Journal of Management, Marketing and Entrepreneurial Studies, 9(2), 44-62. https://www.researchgate.net/profile/Darlington-Nwachukwu/publication/369370172_Artificial_Intelligence_Marketing_Practices_The_Way_Forward_to_Better_Customer_Experience_Management_in_Africa_Systematic_Literature_Review/links/64181fe6a1b72772e411b0c9/Artificial-Intelligence-Marketing-Practices-The-Way-Forward-to-Better-Customer-Experience-Management-in-Africa-Systematic-Literature-Review.pdf
Pandey, M. K., Partole, S., & M, A. (2025). Personalized Tourism Recommendation System: Leveraging GPT-3.5 For Comprehensive And Real-Time Travel Itineraries. Iosr Journal of Computer Engineering, 27(1), 25-33. https://doi.org/10.9790/0661-2701012533
Parsakia, K., & Jafari, M. (2023). Strategies for Enhancing Customer Engagement Using Artificial Intelligence Technologies in Online Markets. Journal of Technology in Entrepreneurship and Strategic Management (JTESM), 2(1), 49-69. https://doi.org/10.61838/kman.jtesm.2.1.6
Qasemi, M. (2024). Personalized Recommendation Intelligent Fuzzy Clustering Model for theTourism.
Rizvi, A. T., Haleem, A., Bahl, S., & Javaid, M. (2021). Artificial intelligence (AI) and its applications in Indian manufacturing: a review. Curr. Adv. Mech. Eng., 825-835. https://doi.org/10.1007/978-981-33-4795-3_76
Ryan, W. G., Fenton, A., Ahmed, W., & Scarf, P. (2020). Recognizing events 4.0: The digital maturity of events. Int. J. Event Festiv. Manag., 11, 47-68. https://doi.org/10.1108/IJEFM-12-2019-0060
Senthil Kumar, A. V., Mosikan, M., Dutta, A. K., Rao L, M., Musirin, I., Akula, V. S. G., Khalid, S., Yalavarthi, S. B., D. V, C. S., Suganya, R., Dulhare, U. N., & Tiwari, S. K. (2024). AI-Driven Personalization in Tourism. https://doi.org/10.4018/979-8-3693-5678-4.ch002
Sestino, A., & De Mauro, A. (2022). Leveraging artificial intelligence in business: implications, applications and methods. Technol. Anal. Strat. Manag., 34(1), 16-29. https://doi.org/10.1080/09537325.2021.1883583
Vaidya, G., Chavan, V. G., Nalawade, S. A., & Bhatia, G. (2024). TravelSage : An AI based system for tourists. International Journal for Multidisciplinary Research, 6(6). https://doi.org/10.36948/ijfmr.2024.v06i06.34295
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Copyright (c) 2025 Seyedyasser Mousavian (Author); Mahmoud Ahmadisharif (Corresponding author); Farzad Asayesh , Dariyoush Jamshidi (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
