DETERMINANTS OF TOURIST’S CONTINUED USE OF ONLINE TRAVEL AGENCY (OTA) BOOKING SERVICES: A CASE STUDY IN HO CHI MINH CITY, VIETNAM

Nguyen Thi Diem Kieu1,
1 University of Finance - Marketing
0
Online Published: 30/03/2026
Section: Business Administration, Marketing, Commerce, and Tourism

Main Article Content

Abstract

This study examines the factors affecting the intention to continue using online booking services on online travel agency (OTA) platforms of tourists in Ho Chi Minh City, Vietnam. Based on the Theory of Planned Behavior (TPB) and the SOR framework, the research examines the roles of performance expectancy, information quality, perceived value, social influence, and trust. A survey of 351 OTA users was conducted and the data was analyzed using PLS-SEM. The results show that the factors affecting trust include: social influence, quality information, performance expectancy and price value, helping customers have a certain trust in those online platforms, thereby affecting the intention to continue using online travel agency platforms for booking. This study contributes to helping businesses and online travel agencies have a certain understanding of customer behavior after using online booking services. On that basis, the article also provides managerial implications to help accommodation businesses and online travel agents have effective business strategies and marketing plans to enhance the ability to retain old customers on OTA platforms.

Article Details

References

Ali, F., Ali, L., Gao, Z., Terrah, A., & Turktarhan, G. (2024). Determinants of user’s intentions to book hotels: a comparison of websites and mobile apps. Aslib Journal of Information Management, 76(1), 16–41. https://doi.org/10.1108/AJIM-05-2022-0239
Alwahaishi, S., & Snášel, V. (2013). Consumers’ acceptance and use of information and communications technology: A UTAUT and flow based theoretical model. Journal of Technology Management and Innovation, 8(2), 61–73. https://doi.org/10.4067/s0718-27242013000200005
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly: Management Information Systems, 25(3), 351–370. https://doi.org/10.2307/3250921
Brill, T. M., Munoz, L., & Miller, R. J. (2019). Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. Journal of Marketing Management, 35(15–16), 1401–1436. https://doi.org/10.1080/0267257X.2019.1687571
Davison, A. C., & Hinkley, D. V. (2003). Bootstrap methods and their application. Cambridge University Press
Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107-123.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Sage Publications.
Kim, S. S., & Son, J. Y. (2009). Out of dedication or constraint? A dual model of post-adoption phenomena and its empirical test in the context of online services. MIS Quarterly: Management Information Systems, 33(1), 49–70. https://doi.org/10.2307/20650278
Lee, S. K., & Min, S. R. (2021a). Effects of Information Quality of Online Travel Agencies on Trust and Continuous Usage Intention: An Application of the SOR Model. In Journal of Asian Finance, Economics and Business (Vol. 8, Issue 4, pp. 971–982). https://doi.org/10.13106/jafeb.2021.vol8.no4.0971
Lee, S. K., & Min, S. R. (2021b). Effects of Information Quality of Online Travel Agencies on Trust and Continuous Usage Intention: An Application of the SOR Model. Journal of Asian Finance, Economics and Business, 8(4), 971–982. https://doi.org/10.13106/jafeb.2021.vol8.no4.0971
Li, H., & Liu, Y. (2014). Understanding post-adoption behaviors of e-service users in the context of online travel services. Information and Management, 51(8), 1043–1052. https://doi.org/10.1016/j.im.2014.07.004
Mohamad, M. A., Radzi, S. M., & Hanafiah, M. H. (2021). Understanding tourist mobile hotel booking behaviour: Incorporating perceived enjoyment and perceived price value in the modified Technology Acceptance Model. Tourism & Management Studies, 17(1), 19–30. https://doi.org/10.18089/tms.2021.170102
Nguyen, O. T. (2020). Factors affecting the intention to use digital banking in Vietnam. Journal of Asian Finance, Economics and Business, 7(3), 303–310. https://doi.org/10.13106/jafeb.2020.vol7.no3.303
Tandon, U., Kiran, R., & Sah, A. N. (2018). The influence of website functionality, drivers and perceived risk on customer satisfaction in online shopping: an emerging economy case. Information Systems and E-Business Management, 16(1), 57–91. https://doi.org/10.1007/s10257-017-0341-3
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412
Wendland, J., Lunardi, G. L., & Dolci, D. B. (2019). Adoption of health information technology in the mobile emergency care service. RAUSP Management Journal, 54(3), 287–304. https://doi.org/10.1108/RAUSP-07-2018-0058
Yuliantie, E. (2024). The effect of performance expectancy on behavioral intention: The mediating role of satisfaction. Journal of Management and Business Insight, 2(1), 80–89. https://doi.org/10.12928/jombi.v2i1.1123
Zhou, Y., Kim, W. G., Okumus, B., & Cobanoglu, C. (2021). Understanding online travel communities: a literature review and future research directions in hospitality and tourism. In Journal of Travel and Tourism Marketing (Vol. 38, Issue 2, pp. 194–212). https://doi.org/10.1080/10548408.2021.1887052
How to Cite
Kieu, N. T. D. (2026). DETERMINANTS OF TOURIST’S CONTINUED USE OF ONLINE TRAVEL AGENCY (OTA) BOOKING SERVICES: A CASE STUDY IN HO CHI MINH CITY, VIETNAM. Journal of Finance - Marketing Research, 4(4ene). https://jfm.edu.vn/index.php/jfme/article/view/1090