Innovative Strategies for Smart Tourism Growth in Zhuhai, China
Downloads
Zhuhai, one of China's rapidly developing tourist destinations, embraces smart tourism as a strategic approach to enhance visitor experiences, optimise resource management, and promote sustainable tourism growth. This study explores innovative strategies for implementing smart tourism in Zhuhai by integrating advanced technologies such as big data analytics, the Internet of Things (IoT), and artificial intelligence (AI). The research employs a mixed-methods approach, combining qualitative interviews with stakeholders and quantitative analysis of tourism trends. Key findings highlight the importance of digital infrastructure development, seamless integration of innovative services, and fostering public-private collaborations. Challenges such as data security, stakeholder alignment, and technology adoption are addressed, providing a comprehensive framework for practical, innovative tourism development. This study contributes to the growing knowledge of smart tourism by offering actionable insights and recommendations for Zhuhai’s tourism sector, with potential applications for other emerging smart tourism destinations globally.
Downloads
1. Buhalis, D., & Amaranggana, A. (2014). Smart tourism destinations. In Information and Communication Technologies in Tourism 2014 (pp. 553-564). Springer, Cham.
2. Buhalis, D., & Sinarta, Y. (2019). Real-time co-creation and co-destruction of experiences in smart tourism. Journal of Travel & Tourism Marketing, 36(3), 1-18.
3. China Smart City Development Report. (2022). Smart city projects and their impact in 2022. China Smart City Development Association.
4. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
5. Elkington, J. (1997). Cannibals with forks: The triple bottom line of 21st-century business. Capstone Publishing.
6. Gretzel, U. (2018). Smart tourism: The new trend for the tourism industry. Tourism Management, 62, 122-126.
7. Gretzel, U., Koo, C., & Law, R. (2015). Smart tourism: The new trends in tourism technology. Journal of Travel & Tourism Marketing, 32(5), 628-639.
8. Korea Tourism Organization. (2022). Seoul’s smart tourism innovations: AI-powered chatbots and AR applications. Korea Tourism Organization.
9. Nam, T., & Pardo, T. A. (2011). Smart city as urban innovation: Focusing on management, policy, and context. Proceedings of the 5th International Conference on Theory and Practice of Electronic Governance, 185-194.
10. Statista. (2023). Share of global travelers using smartphones for travel-related activities in 2023. Statista Research Department. https://www.statista.com/statistics/1101533/global-smartphone-usage-travel/
11. UNWTO. (2021). Smart tourism in Europe: Barcelona’s success story in tourism management. UNWTO.
12. World Economic Forum. (2022). The impact of COVID-19 on travel and tourism: Adapting to a new reality. World Economic Forum. https://www.weforum.org/reports/the-impact-of-covid-19-on-travel-and-tourism
13. Zhang, M., Li, J., & Lee, K. (2021). Data privacy and security challenges in smart tourism. International Journal of Information Management, 57, 102299.
14. Zhou, L., & Lee, H. (2016). Exploring the role of mobile technologies in smart tourism. Tourism Review, 71(1), 10-17.
15. Li, L., & Chen, X. (2019). Integration of smart tourism technology in urban tourism management. Urban Studies Journal, 56(4), 763-779.
16. Yoo, J. J., & Kim, J. H. (2020). The role of artificial intelligence in enhancing tourism experiences. Journal of Tourism Technology, 5(3), 115-124.
17. Chen, R., & Zhang, L. (2017). Big data analytics in tourism: Opportunities and challenges. Tourism Management Perspectives, 24, 91-100.
18. Li, X., & Zhao, X. (2018). Smart tourism and sustainability: A case study of China. Sustainability, 10(9), 3245.
19. Kuo, Y. F., & Chen, S. Y. (2020). Technology acceptance model and its application in tourism: A systematic review. Journal of Hospitality & Tourism Technology, 11(4), 495-510.
20. Kim, Y., & Lee, S. (2021). Exploring the impact of IoT on tourism destinations. Tourism Management Perspectives, 38, 100800.
21. Tang, J., & Sun, W. (2019). Future directions in smart tourism research: A global perspective. Journal of Hospitality and Tourism Research, 43(5), 678-694.
22. Lee, C. K., & Li, J. (2019). Smart tourism: The role of big data in enhancing destination management. International Journal of Hospitality & Tourism Administration, 20(1), 16-31.
23. Park, H. S., & Lee, Y. J. (2021). AI-powered tourism systems: From theory to practice. International Journal of Tourism Research, 23(5), 879-894.
24. Zhou, H., & Jiang, X. (2018). Enhancing smart tourism through real-time data analytics: The case of Shanghai. Tourism Management, 68, 124-132.
25. Kim, S., & Kim, K. (2020). Cloud computing in tourism management: A review of applications and challenges. Tourism Management, 75, 99-109.
26. González, J. R., & Martínez, A. (2020). Examining the role of cloud computing in tourism destinations. Tourism Review, 75(3), 589-604.
27. Liu, X., & He, L. (2019). The future of smart cities: How smart tourism will impact urban development. Urban Development Journal, 38(2), 129-141.
28. Zhang, Q., & Wang, Y. (2017). The impact of AI and big data on tourism experiences. Journal of Hospitality Management, 68, 33-42.
29. Zhou, X., & Sun, L. (2021). A study on the development of sustainable smart tourism in China. Tourism and Hospitality Research, 21(2), 157-169.
30. Wang, Y., & Zeng, F. (2018). Integration of smart tourism and digital platforms in destination management. Tourism Journal, 65(1), 12-22.
31. Kang, M., & Lee, W. (2019). Impact of virtual tourism experiences on tourist behavior. Tourism Studies Quarterly, 44(3), 80-92.
32. Zhou, X., & Zhang, Y. (2016). Exploring the future of smart tourism in a digital age. Tourism Futures, 25(4), 46-55.
Copyright (c) 2025 Elda Nurmalinda, Myrza Rahmanita, Liu Zi Tao
This work is licensed under a Creative Commons Attribution 4.0 International License.
