Research on the Mechanism of Artificial Intelligence in Tourism Management

Authors

  • Guoquan Zhao Tianjin Qingqi Computer Technology Service Center, Tianjin 30190, China

DOI:

https://doi.org/10.54097/tfb3bm43

Keywords:

Artificial Intelligence, Tourism Management, Action Mechanism, Big Data, Algorithm Model

Abstract

With the rapid development of information technology, the application of artificial intelligence in various industries is becoming increasingly extensive, and the tourism industry is also facing the opportunities and challenges of digital transformation. Against this background, this study aims to deeply analyze the mechanism of the role of artificial intelligence in tourism management. Through methods such as literature research, case analysis and empirical research, a systematic study is carried out on the application of artificial intelligence in various links such as tourism resource planning, tourist service, marketing management and security assurance. The research finds that artificial intelligence has significantly improved the efficiency of tourism management and the tourist experience through mechanisms such as technology empowerment, data-driven and collaborative optimization. However, in the process of its application, it also faces problems such as data privacy and security, technology cost and accessibility, and shortage of talents. This study provides a theoretical basis and practical guidance for the rational use of artificial intelligence technology in the tourism industry and promoting innovative development, and is of great significance for promoting the intelligent transformation of the tourism industry.

Downloads

Download data is not yet available.

References

[1] Li, M. H., Liu, J., & He, X. L. (2024). Research on utilizing artificial intelligence technology to enhance the customized tourism service experience. Shenyang Culture and Tourism, (7), 53–55.

[2] Wang, R. T., Song, R., & Zhou, G. M. (2023). Review and prospect of domestic and international tourism demand research since the 21st century. Social Scientist, (3), 36–43.

[3] Sun, Q., Jiang, J. J., Li, X. Y., & Tang, S. Q. (2022). Research on tourism demand forecasting in the post-pandemic era. China Soft Science, (S01), 217–226.

[4] Xie, Q. X., Su, H. W., Tan, R. H., Lin, X. M., & Wang, S. Y. (2021). A review of research on intangible cultural heritage tourism based on artificial intelligence. Science and Innovation, (5), 108–109.

[5] Wei, M. Y. (2024). Research on changes in tourism consumption market and new tourism industry development strategies. National Circulation Economy, (10), 116–119.

[6] Li, Y. T. (2024). Problems and governance countermeasures of artificial intelligence in cultural tourism applications. Humanities Today, (3), 8–13.

[7] Yang, Y., Lin, M. S., Wang, J. W., Wen, T., Yang, X. Z., & Liu, J. (2023). Forms of practice, mechanism paths and possible research breakthroughs — Dialogue record of scholars on the topic of "Technological innovation and high-quality development of tourism". Tourism Forum, 16(4), 1–18.

[8] Gretzel, U. (2020). Discussions on China's tourism development — Research frontiers in tourism information technology (Z. Xiang & Y. Ding, Trans.). Tourism Tribune, 35(1), 1–3.

Downloads

Published

29-06-2026

Issue

Section

Articles