Vai trò điều tiết của nội dung do người dùng tạo ra trong mối quan hệ giữa các kích thích xã hội và hành vi bầy đàn trong mua sắm trực tuyến

Authors

  • Nhật Nguyễn Minh Trường Đại học Mở Thành phố Hồ Chí Minh Author
  • Nhi Lê Uyên Trường Đại học Mở Thành phố Hồ Chí Minh Author
  • Vy Nguyễn Lê Ngọc Trường Đại học Mở Thành phố Hồ Chí Minh Author
  • Minh Phạm Trường Đại học Mở Thành phố Hồ Chí Minh Author

DOI:

https://doi.org/10.24311/jabes/2025.36.7.07

Keywords:

Ý định mua hàng trực tuyến, Sự tin cậy, Truyền miệng trực tuyến, Nội dung người dùng tạo ra, Hành vi bầy đàn

Abstract

The development of digital transformation alongside social media has contributed to a rise in herd buying behaviour, particularly among young consumers born after 1995. Rooted in the Stimulus-Organism-Response (S-O-R) framework, this study evaluates the roles of electronic word-of-mouth, spokesman credibility, and user-generated content as environmental stimuli influencing consumer herd behavior, which in turn leads to a response in online purchase intention. The study employed a convenience sampling method to survey 310 social media users and applied structural equation modeling to validate the proposed hypotheses. Empirical findings suggest that electronic word-of-mouth and spokesman credibility have a significant impact on consumer herd behavior. Furthermore, user-generated content not only exerts a direct impact but also plays a moderating role in the relationships among the related variables. Based on these findings, the study reinforces the applicability of the S-O-R framework in the context of e-commerce. It proposes several practical implications to assist businesses in optimizing their strategies for approaching this younger generation of consumers

References

Ahmad, M., & Wu, Q. (2022). Does herding behavior matter in investment management and perceived market efficiency? Evidence from an emerging market. Management Decision, 60(8), 2148-2173.

Ahn, K., Cong, L., Jang, H., & Kim, D. S. (2024). Business cycle and herding behavior in stock returns: Theory and evidence. Financial Innovation, 10(6).

Ali, M., & Amir, H. (2024). Understanding consumer herding behavior in online purchases and its implications for online retailers and marketers. Electronic Commerce Research and Applications, 64, 101356.

Betton, S., Davis, F., & Walker, T. (2018). Rumor rationales: The impact of message justification on article credibility. International Review of Financial Analysis, 58, 271-287.

Beyari, H., & Garamoun, H. (2024). The impact of online word of mouth (e-WOM) on end-user purchasing intentions: A study on e-WOM channels’ effects on the Saudi hospitality market. Sustainability, 16(8), 3163.

Chen, X., Chen, R. R., Wei, S., & Davison, R. M. (2025). Herd behavior in social commerce: Understanding the interplay between self-awareness and environment-awareness. Internet Research, 35(3), 947-980.

Chen, X., Li, Y., Davison, R. M., & Liu, Y. (2021). The impact of imitation on Chinese social commerce buyers’ purchase behavior: The moderating role of uncertainty. International Journal of Information Management, 56, 102262.

Chen, Y.-F. (2008). Herd behavior in purchasing books online. Computers in Human Behavior, 24(5), 1977-1992.

Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

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.

Kelman, H. C. (1958). Compliance, identification, and internalization: Three processes of attitude change. Journal of Conflict Resolution, 2(1), 51-60.

Lee, S., & Choeh, J. Y. (2020). Using the social influence of electronic word-of-mouth for predicting product sales: The moderating effect of review or reviewer helpfulness and product type. Sustainability, 12(19), 7952.

Liu, Q., Zhang, X., Zhang, L., & Zhao, Y. (2019). The interaction effects of information cascades, word of mouth and recommendation systems on online reading behavior: An empirical investigation. Electronic Commerce Research, 19, 521-547.

Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.

Morwitz, V. G., Steckel, J. H., & Gupta, A. (2007). When do purchase intentions predict sales?. International Journal of Forecasting, 23(3), 347-364.

Muda, M., & Hamzah, M. I. (2021). Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention. Journal of Research in Interactive Marketing, 15(3), 441-459.

Ngo, T. T. A., Bui, C. T., Chau, H. K. L., & Nguyen, N. P. N. T. (2024). Electronic word-of-mouth (eWOM) on social networking sites (SNS): Roles of information credibility in shaping online purchase intention. Heliyon, 10(11), e32168.

Pakaja, F. (2025). Overconfidence bias measures and herd behavior on information system security. Journal of Computer Information Systems. https://doi.org/10.1080/08874417.2025.2507707

Panopoulos, A., Poulis, A., Theodoridis, P., & Kalampakas, A. (2023). Influencing green purchase intention through eco labels and user-generated content. Sustainability, 15(1), 764.

Pavlović-Höck, N. (2022). Herd behaviour along the consumer buying decision process: Experimental study in the mobile communications industry. Digital Business, 2(1), 100018.

Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6), e04284.

Pham, M., Vo, N. K. T., Tran, S. S. T., Tran To, H. H., & Lam, B. Q. (2023). How does herd behaviour impact the purchase intention? Explore the moderating effect of risk aversion in the context of Vietnamese consumers. Acta Psychologica, 241, 104096.

Raafat, R. M., Chater, N., & Frith, C. (2009). Herding in humans. Trends in Cognitive Sciences, 13(10), 420-428.

Rahaman, M. A., Hassan, H. M. K., Asheq, A. A., & Islam, K. M. A. (2022). The interplay between eWOM information and purchase intention on social media: Through the lens of IAM and TAM theory. PLOS One, 17(9), e0272926.

Rejikumar, G., Asokan-Ajitha, A., Dinesh, S., & Jose, A. (2022). The role of cognitive complexity and risk aversion in online herd behavior. Electronic Commerce Research, 22(2), 585-621.

Shen, X.-L., Zhang, K. Z. K., & Zhao, S. J. (2016). Herd behavior in consumers’ adoption of online reviews. Journal of the Association for Information Science and Technology, 67(11), 2754-2765.

Song, Z., Liu, C., & Shi, R. (2022). How do fresh live broadcast impact consumers’ purchase intention? Based on the SOR theory. Sustainability, 14(21), 14382.

Su, B.-C., Wu, L.-W., Lin, H., & Lin, C.-A. (2023). The mediating effect of herd behavior and brand attitude towards the impact of spokesman credibility, source fit, and online word-of-mouth on purchase intention. Sustainability, 15(1), 888.

Sun, T., Youn, S., Wu, G., & Kuntaraporn, M. (2006). Online word-of-mouth (or mouse): An exploration of its antecedents and consequences. Journal of Computer-Mediated Communication, 11(4), 1104-1127.

Teangsompong, T., & Sawangproh, W. (2024). Understanding online purchase intention of plant-based foods: Exploring causal factors and moderating role of self-efficacy within the SOR theory. Heliyon, 10(10), e30785.

Vedadi, A., Warkentin, M., & Dennis, A. (2021). Herd behavior in information security decision-making. Information & Management, 58(8), 103526.

Vrain, E., Wilson, C., Kerr, L., & Wilson, M. (2022). Social influence in the adoption of digital consumer innovations for climate change. Energy Policy, 162, 112800.

Yamagishi, K., Canayong, D., Domingo, M., Maneja, K. N., Montolo, A., & Siton, A. (2023). User-generated content on Gen Z tourist visit intention: A stimulus-organism-response approach. Journal of Hospitality and Tourism Insights, 7(4), 1949-1973.

Yang, H.-P., Fan, W.-S., & Tsai, M.-C. (2024). Applying Stimulus–Organism–Response Theory to explore the effects of augmented reality on consumer purchase intention for teenage fashion hair dyes. Sustainability, 16(6), 2537.

Yu, X., Wang, H., & Chen, Z. (2024). The role of user-generated content in the sustainable development of online healthcare communities: Exploring the moderating influence of signals. Sustainability, 16(9), 3739.

Zhang, B., Li, H., & Xiong, Y. (2021). Social media, influencers, and adoption of an eco-friendly product: Field experiment evidence from rural China. Journal of Environmental Economics and Management, 110, 102511.

Zhang, Z., Cheng, Z., Gu, T., & Zhang, Y. (2024). Determinants of users' unverified information sharing on social media platforms: A herding behavior perspective. Acta Psychologica, 248, 104345.

Published

2025-09-12

Issue

Section

Articles

How to Cite

Nguyễn Minh , N., Lê Uyên , N., Nguyễn Lê Ngọc , V., & Phạm , M. (2025). Vai trò điều tiết của nội dung do người dùng tạo ra trong mối quan hệ giữa các kích thích xã hội và hành vi bầy đàn trong mua sắm trực tuyến. JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES, 36(7), 87-100. https://doi.org/10.24311/jabes/2025.36.7.07

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