THE UTILIZATION OF AI FOR BUSINESS ANALYSIS OF CONSUMER BEHAVIOR AND BUSINESS COMMUNICATION IN MARKETING MANAGEMENT
A STUDY ON THE PUTRI RIVER TOURISM WEBSITE IN SUMEDANG
DOI:
https://doi.org/10.61397/tla.v3i2.483Keywords:
Artificial Intelligence, Consumer Behavior, Business Communication, Marketing management, Digital TourismAbstract
Digital transformation in the tourism industry urges business actors to adopt technologies that enhance both customer experience and operational efficiency. This study aims to analyze the utilization of artificial intelligence (AI) in interpreting consumer behavior, managing business communication, and improving the effectiveness of digital marketing management on the local tourism platform Puteri River Inn Sumedang. The method used is descriptive qualitative, involving non-participant observation, document study, and content and thematic analysis of digital data from websites, social media, and user reviews. The results indicate that although direct AI implementation is not yet visible on the platform, the potential for application is significant. AI can be utilized to analyze consumer preferences regarding lodging, culinary options, and entertainment facilities such as flying fox, swimming pool, and camping. Business communication could be enhanced through chatbots, automated reservation systems, and personalized digital promotions. From a marketing management perspective, AI supports more effective STP strategies (segmenting, targeting, and positioning) using real-time data. This study concludes that AI-based digitalization of local tourism is a strategic step toward strengthening competitiveness and increasing visitor satisfaction. Strong managerial commitment and technological support are essential to realize this transformation.
References
Antczak, B. O. (2022). Artificial intelligence adoption in tourism marketing: Opportunities, challenges, and strategic implications. Journal of Marketing Management, 38(15–16), 1647–1669. https://doi.org/10.1080/0267257X.2022.2100987
Buhalis, D., & Sinarta, Y. (2019). Real-time co-creation and nowness service: Lessons from tourism and hospitality. Journal of Travel & Tourism Marketing, 36(5), 563–582. https://doi.org/10.1080/10548408.2019.1592059
Buhalis, D., & Amaranggana, A. (2020). Smart tourism destinations: Foundations, analytics, and applications. Tourism Management, 78, 104050. https://doi.org/10.1016/j.tourman.2019.104050
Christou, E., Giannopoulos, A., & Simeli, I. (2023). From digital marketing to AI-driven immersive tourism experiences. Sustainability, 15(9), 7489. https://doi.org/10.3390/su15097489
Dwivedi, Y. K., Hughes, L., Ismagilova, E., et al. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Gretzel, U., Sigala, M., Xiang, Z., & Koo, C. (2020). Smart tourism: Foundations and developments. Electronic Markets, 30(3), 463–475. https://doi.org/10.1007/s12525-019-00394-1
Gretzel, U., Fuchs, M., Baggio, R., et al. (2020). e-Tourism beyond COVID-19: A call for transformative research. Information Technology & Tourism, 22(2), 187–203. https://doi.org/10.1007/s40558-020-00181-3
Ivanov, S., & Webster, C. (2019). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies. Tourism Economics, 25(7), 1007–1019. https://doi.org/10.1177/1354816619845338
Kotler, P., Kartajaya, H., & Setiawan, I. (2021). Marketing 5.0: Technology for humanity. Wiley.
Lu, L., Cai, R., & Gursoy, D. (2020). Developing and validating a service robot integration willingness scale. International Journal of Hospitality Management, 80, 36–51. https://doi.org/10.1016/j.ijhm.2019.11.002
Mariani, M., & Borghi, M. (2021). Industry 4.0 and tourism: Managerial challenges and future research directions. Technological Forecasting and Social Change, 164, 120590. https://doi.org/10.1016/j.techfore.2020.120590
Neuhofer, B., Buhalis, D., & Ladkin, A. (2020). Smart technologies for personalized experiences: A case of smart tourism. Tourism Management, 75, 1–15. https://doi.org/10.1016/j.tourman.2019.04.003
Sigala, M. (2020). Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research. Journal of Business Research, 117, 312–321. https://doi.org/10.1016/j.jbusres.2020.06.015
Tussyadiah, I., Zach, F., & Wang, J. (2020). Do travelers trust intelligent service robots? Annals of Tourism Research, 81, 102886. https://doi.org/10.1016/j.annals.2020.102886
UNWTO. (2022). Tourism and digital transformation. World Tourism Organization.
Verhoef, P. C., Broekhuizen, T., Bart, Y., et al. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889–901. https://doi.org/10.1016/j.jbusres.2019.09.022
Wang, S., Li, Y., & Li, H. (2023). Artificial intelligence in tourism: A systematic literature review. Sustainability, 15(7), 6234. https://doi.org/10.3390/su15076234
Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015). What can big data and text analytics tell us about hotel guest experience? International Journal of Hospitality Management, 44, 120–130. https://doi.org/10.1016/j.ijhm.2014.10.013
Yoo, C. W., Kim, Y. J., & Sanders, G. L. (2021). The impact of interactivity of electronic word of mouth systems and user-generated content on consumer engagement. Journal of Business Research, 126, 1–12. https://doi.org/10.1016/j.jbusres.2020.12.037
Zhang, H., Song, H., Wen, L., & Liu, C. (2021). Forecasting tourism demand using machine learning models. Tourism Management, 83, 104242. https://doi.org/10.1016/j.tourman.2020.104242
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Copyright (c) 2026 Yuyun Yuniarsih, Anita Syafariah, Abyan Faliq Athallah, Rafly Ramadhany

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