Integration of Artificial Intelligence in Indonesia's Hospitality Marketing: Facing the Digital Era with Innovation and Adaptation
Keywords:
Artificial Intelligence, Hospitality Marketing, Digital Era, Innovation, AdaptationAbstract
In today's digital era, technology has become a key element in the marketing strategy of the hospitality industry. This study aims to analyze the impact of the use of artificial intelligence in hotel marketing on increasing customer loyalty. Through a quantitative approach, this study collected data from 500 respondents who had stayed at various hotels that implemented digital marketing strategies. The data analysis technique uses SEM (Structural Equation Modelling) with SMART PLS to measure the significant influence between digital marketing variables and customer loyalty. The results show that digital marketing technologies, such as social media, mobile apps, and offer personalization, have a positive influence on customer loyalty. The use of social media is especially effective in increasing brand awareness and customer interaction. Mobile apps, with their ease of access and transactions, as well as offer personalization, which provide a unique experience for each customer, are proven to increase customer satisfaction and loyalty. The study also found that customer loyalty is not only influenced by artificial intelligence in digital marketing, but also by traditional factors such as service quality and hotel reputation. To increase customer loyalty, hotels must leverage digital marketing technologies such as social media, mobile apps, and offer personalization that provide a unique experience for each customer. Future research focuses on in-depth exploration of how the integration of technologies such as artificial intelligence and big data analytics can be used to predict customer behavior.
References
Al-Nafjan, A., Yaseen, R. G., & Mashat, A. S. (2023). Neural networks in tourism: Enhancing customer loyalty through AI-powered analytics. Tourism Review, 78(3), 214-231. https://doi.org/10.1108/TR-02-2023-0234
Belias, D., & Varelas, S. (2019). Service innovation and AI: Hospitality industry trends and challenges. Journal of Tourism and Hospitality Management, 9(3), 45-63. https://doi.org/10.2112/0029-6678-2029
Buhalis, D. (2020). Artificial intelligence in tourism: Enhancing customer experiences through technology. Tourism Review, 75(1), 24-42. https://doi.org/10.1108/TR-08-2019-0348
Cain, L., Ivanov, S., & Webster, C. (2019). The impact of AI on hotel operations: AI-powered guest services and customer satisfaction. International Journal of Hospitality Management, 78(5), 345-357. https://doi.org/10.1016/j.ijhm.2019.01.002
Chen, Y., Prentice, C., & Weaven, S. (2022). AI in the sharing economy: A systematic literature review. Journal of Global Scholars of Marketing Science, 32(3), 372-397. https://doi.org/10.1080/21639159.2020.1808847
Elkhwesky, Z., Chiappa, G. D., & El-Gohary, H. (2022). Enhancing hotel service quality using AI technologies: A review of empirical research. Journal of Hospitality Marketing & Management, 31(4), 789-807. https://doi.org/10.1080/19368623.2022.1742346
Giotis, A., & Papadionysiou, E. (2022). AI-driven marketing strategies in the hotel industry: An empirical study. Journal of Hospitality & Tourism Research, 46(1), 120-142. https://doi.org/10.1177/10963480211021705
Ivanov, S., & Webster, C. (2019). Robotics, AI, and the future of service in tourism and hospitality. Tourism Economics, 25(5), 723-730. https://doi.org/10.1177/1354816619828837
Lai, Y., & Hung, M. (2018). AI redefining the hospitality industry: The evolution of intelligent hotel management. Emerald Insight, 12(6), 657-671. https://doi.org/10.1108/TR-10-2018-0043
Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96. https://doi.org/10.1509/jm.15.0420
Li, X., Chi, H., & Zhao, X. (2021). Enhancing customer satisfaction through AI-powered engagement in hotels. Journal of Retailing and Consumer Services, 60(5), 111-128. https://doi.org/10.1016/j.jretconser.2021.102501
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991). Refinement and reassessment of the SERVQUAL scale. Journal of Retailing, 67(4), 420-450. https://doi.org/10.1016/j.jretconser.2019.102310
Prentice, C., Han, X. Y., Hua, L. L., & Hu, L. (2019). AI in customer engagement: Emotional intelligence and AI-driven services in hotels. Journal of Hospitality Marketing & Management, 47, 339-347. https://doi.org/10.1080/19368623.2019.1650798
Samara, L., Papadopoulos, C., & Prentice, C. (2020). The role of AI in enhancing customer trust and loyalty in hotels. Tourism Management, 83, 104229. https://doi.org/10.1016/j.tourman.2020.104229
Ye, R., Wang, T., & Zhao, Y. (2022). Predictive models using AI for customer behavior in the hotel industry. Journal of Travel & Tourism Marketing, 39(4), 528-543. https://doi.org/10.1080/10548408.2022.1742423
Downloads
Published
Issue
Section
License
Copyright (c) 2024 I Made Bayu Wisnawa (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.