Comparative Impacts of Xiaohongshu and Douyin on Domestic Travel Intentions: An Integration of AISAS and the Theory of Planned Behavior

Main Article Content

Siyuan Zhang
Chaiyot Sumritsakun
Montri Singhavara
Napat Ruangnapakul

Abstract

This study investigates the comparative influence of Xiaohongshu and Douyin on domestic tourists’ travel intentions and explores the dual psychological mechanisms underlying rational and emotional decision-making. A total of 842 valid responses were collected from Chinese domestic tourists aged 18–54 through convenience and purposive sampling. The data collection instrument was a structured, bilingual questionnaire adapted from established measurement scales. Specifically, the questionnaire measured seven constructs—perceived usefulness, perceived credibility, perceived interactivity, perceived pleasure, behavioral attitude, subjective norms, and behavioral intention—drawing from validated sources such as Davis (1989), Ajzen (1991), Cheung et al. (2009), and Childers et al. (2001). Data was analyzed using structural equation modeling (SEM) with SPSS and AMOS, following reliability and validity testing procedures.


Results show that Xiaohongshu has a more substantial effect on perceived credibility (β = 0.740, p < 0.001) and usefulness (β = 0.723, p < 0.001), thereby leading to rational, well-planned travel decisions. In contrast, Douyin exerts greater influence through perceived interactivity (β = 0.794, p < 0.001) and pleasure (β = 0.615, p < 0.001), thereby stimulating spontaneous, emotion-driven travel intentions. The model achieved a good fit (χ²/df = 2.13, CFI = 0.963, TLI = 0.951, RMSEA = 0.042), confirming the validity of the dual-mechanism framework.


The findings enrich the theoretical integration of AISAS and TPB, demonstrating how different platform affordances activate distinct decision-making pathways. Practically, the study offers actionable insights for tourism marketers to design platform-specific content strategies tailored to rational planning (Xiaohongshu) and emotional stimulation (Douyin).

Article Details

How to Cite
Zhang, S., Sumritsakun, C., Singhavara, M., & Ruangnapakul, N. (2025). Comparative Impacts of Xiaohongshu and Douyin on Domestic Travel Intentions: An Integration of AISAS and the Theory of Planned Behavior. Rajapark Journal, 19(65), 250–266. retrieved from https://so05.tci-thaijo.org/index.php/RJPJ/article/view/284141
Section
Research Article
Author Biography

Siyuan Zhang, Digital Economics and Management Innovation International College, Maejo University, Thailand

-0981196634

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T

Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. R. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229-247. https://doi.org/10.1108/10662240810883290

Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511-535. https://doi.org/10.1016/S0022-4359(01)00056-2

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008

Gretzel, U., Kang, M., & Lee, W. (2008). Differences in consumer-generated media adoption and use: A cross-national perspective. Journal of Hospitality & Leisure Marketing, 17(1-2), 99-120. https://doi.org/10.1080/10507050801978240

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson.

Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of social media. Business Horizons, 53(1), 59-68. https://doi.org/10.1016/j.bushor.2009.09.003

Lam, T., & Hsu, C. H. C. (2006). Predicting the behavioral intention of choosing a travel destination. Tourism Management, 27(4), 589-599. https://doi.org/10.1016/j.tourman.2005.02.003

Liu, C., Jiang, M., Muhammad, Z. A., Hussain, S., & Li, Z. (2024). The impact of TikTok short video factors on tourists’ behavioral intention among Generation Z and Millennials: The role of flow experience. PLoS ONE, 19(12), e0315140. https://doi.org/10.1371/journal.pone.0315140

Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of Advertising, 30(1), 13-46. https://doi.org/10.2501/IJA-30-1-013-046

Zhou, Q., Sotiriadis, M., & Shen, S. (2023). Using TikTok in tourism destination choice: A young Chinese tourists’ perspective. Tourism Management Perspectives, 46, 101101. https://doi.org/10.1016/j.tmp.2023.101101