EXPLORING YOUTH CONSUMER BEHAVIOR IN THE ERA OF DIGITAL TRANSFORMATION
DOI:
https://doi.org/10.62985/j.huit_ojs.vol26.no3E.495Từ khóa:
Digital transformation, consumer behavior, digital literacy, attitude toward digital consumption.Tóm tắt
In the context of digital transformation, this research investigates the extent to which digital literacy, electronic word-of-mouth, online shopping awareness, and social influence affect youth participation in digital markets, with attitudes toward digital consumption positioned as a mediating mechanism. Despite the rapid growth of digital platforms in emerging markets such as Vietnam, existing literature remains limited in explaining how these factors interact to shape consumer behavior among young individuals. This study utilized a quantitative approach by surveying 402 young individuals in Vietnam. The gathered data underwent rigorous analysis through the PLS-SEM technique to ensure the validity and reliability of the findings. The hypothesis testing results confirm the robustness of the proposed model, with all examined paths reaching statistical significance. Attitude toward digital consumption emerges as the strongest predictor of consumer behavior. These results emphasize the mediating function of attitude toward digital consumption in explaining how external digital stimuli are converted into consumer responses. Specifically, digital literacy, electronic word-of-mouth, online shopping awareness, and social influence positively shape consumers’ attitudes, and these attitudes then contribute to behavioral outcomes through direct and indirect pathways. Among these factors, social influence demonstrates the strongest effect on attitude formation. The findings contribute to the literature by integrating perspectives from behavioral theory and technology adoption models, offering a comprehensive framework for understanding digital consumption behavior. The study also provides practical implications for businesses and policymakers in designing effective digital strategies tailored to young consumers in emerging economies.
Tài liệu tham khảo
[1] P. Kotler and K. L. Keller, Marketing Management, 15th ed. Harlow, U.K.: Pearson Education, 2016.
[2] K. N. Lemon and P. C. Verhoef, “Understanding customer experience throughout the customer journey,” Journal of Marketing, vol. 80, no. 6, pp. 69–96, Nov. 2016, doi: https://doi.org/10.1509/jm.15.0420
[3] W. D. Hoyer, D. J. MacInnis, R. Pieters, E. Y.-H. Chan, and G. Northey, Consumer Behaviour, 2nd Asia-Pacific ed. South Melbourne, VIC, Australia: Cengage Australia, 2021.
[4] A. S. Yusuf, A. R. Che Hussin, and A. H. Busalim, “Influence of e-WOM engagement on consumer purchase intention in social commerce,” Journal of Services Marketing, vol. 32, no. 4, pp. 493–504, Jul. 2018, doi: https://doi.org/10.1108/JSM-01-2017-0031
[5] I. Erkan and C. Evans, “The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption,” Computers in Human Behavior, vol. 61, pp. 47–55, Aug. 2016, doi: https://doi.org/10.1016/j.chb.2016.03.003
[6] R. Filieri and F. McLeay, “E-WOM and accommodation: An analysis of the factors that influence travelers’ adoption of information from online reviews,” Journal of Travel Research, vol. 53, no. 1, pp. 44–57, Jan. 2014, doi: https://doi.org/10.1177/0047287513481274
[7] K. C. Laudon and C. G. Traver, E-Commerce 2019: Business, Technology, Society, 15th ed. Boston, MA, USA: Pearson, 2019.
[8] C. M. K. Cheung and D. R. Thadani, “The impact of electronic word-of-mouth communication: A literature analysis and integrative model,” Decision Support Systems, vol. 54, no. 1, pp. 461–470, Dec. 2012, doi: https://doi.org/10.1016/j.dss.2012.06.008
[9] V. T. Nguyen and M. D. Doan, “The correlation between financial literacy and personal saving behavior in Vietnam,” Asian Economic and Financial Review, vol. 10, no. 6, pp. 590–603, 2020, doi: https://doi.org/10.18488/journal.aefr.2020.106.590.603
[10] I. Ajzen, “The theory of planned behavior,” Organizational Behavior and Human Decision Processes, vol. 50, no. 2, pp. 179–211, Dec. 1991, doi: https://doi.org/10.1016/0749-5978(91)90020-T
[11] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, vol. 13, no. 3, pp. 319–340, Sep. 1989, doi: https://doi.org/10.2307/249008
[12] A. Saleem, J. Aslam, Y. B. Kim, S. Nauman, and N. T. Khan, “Motives towards e-shopping adoption among Pakistani consumers: An application of the technology acceptance model and theory of reasoned action,” Sustainability, vol. 14, no. 7, Art. no. 4180, Mar. 2022, doi: https://doi.org/10.3390/su14074180
[13] V. D. Tran and T. D. Nguyen, “The impact of security, individuality, reputation, and consumer attitudes on purchase intention of online shopping: The evidence in Vietnam,” Cogent Psychology, vol. 9, no. 1, Art. no. 2035530, Dec. 2022, doi: https://doi.org/10.1080/23311908.2022.2035530
[14] T. T. T. Nguyen, Y. B. Limbu, L. Pham, and M. Á. Zúñiga, “The influence of electronic word of mouth on green cosmetics purchase intention: Evidence from young Vietnamese female consumers,” Journal of Consumer Marketing, vol. 41, no. 4, pp. 406–423, Jun. 2024, doi: https://doi.org/10.1108/JCM-11-2022-5709
[15] J. Wu and S. Song, “Older adults’ online shopping continuance intentions: Applying the technology acceptance model and the theory of planned behavior,” International Journal of Human-Computer Interaction, vol. 37, no. 10, pp. 938–948, Jun. 2021, doi: https://doi.org/10.1080/10447318.2020.1861419
[16] M. He, T. D. Pham Thi, H. M. Tran, and N. T. Duong, “Consumers’ intentions to use online shopping apps: A comparative analysis,” Acta Psychologica, vol. 259, Art. no. 105414, Sep. 2025, doi: https://doi.org/10.1016/j.actpsy.2025.105414
[17] H. Kwon, “The impact of artificial intelligence service competency among Korean citizens on digital utilization outcomes in the context of digital trade expansion: The mediating role of e-commerce,” Journal of Theoretical and Applied Electronic Commerce Research, vol. 20, no. 4, Art. no. 292, Nov. 2025, doi: https://doi.org/10.3390/jtaer20040292
[18] A. van Deursen and J. van Dijk, “Internet skills and the digital divide,” New Media & Society, vol. 13, no. 6, pp. 893–911, Sep. 2011, doi: https://doi.org/10.1177/1461444810386774
[19] X. Lu, J. Jiang, M. Head, and J. Yang, “The impact of linguistic complexity on leadership in online Q&A communities: Comparing knowledge shaping and knowledge adding,” Information & Management, vol. 59, no. 6, Art. no. 103675, Sep. 2022, doi: https://doi.org/10.1016/j.im.2022.103675
[20] M. R. Solomon, Consumer Behavior: Buying, Having, and Being, 12th ed. Harlow, U.K.: Pearson Education, 2018.
[21] W. G. Mangold and D. J. Faulds, “Social media: The new hybrid element of the promotion mix,” Business Horizons, vol. 52, no. 4, pp. 357–365, Jul.–Aug. 2009, doi: https://doi.org/10.1016/j.bushor.2009.03.002
[22] Y. K. Dwivedi et al., “Setting the future of digital and social media marketing research: Perspectives and research propositions,” International Journal of Information Management, vol. 59, Art. no. 102168, Aug. 2021, doi: https://doi.org/10.1016/j.ijinfomgt.2020.102168
[23] J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, Multivariate Data Analysis: A Global Perspective, 7th ed. Upper Saddle River, NJ, USA: Pearson Education, 2010.
[24] V. K. Pham, T. H. Do Thi, and T. H. Ha Le, “A study on the COVID-19 awareness affecting the consumer perceived benefits of online shopping in Vietnam,” Cogent Business & Management, vol. 7, no. 1, Art. no. 1846882, 2020, doi: https://doi.org/10.1080/23311975.2020.1846882
[25] V. Venkatesh, J. Y. L. Thong, and X. Xu, “Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology,” MIS Quarterly, vol. 36, no. 1, pp. 157–178, 2012, doi: https://doi.org/10.2307/41410412.
[26] J. F. Hair, Jr., G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed. Thousand Oaks, CA, USA: Sage, 2017.
[27] J. Henseler, C. M. Ringle, and M. Sarstedt, “A new criterion for assessing discriminant validity in variance-based structural equation modeling,” Journal of the Academy of Marketing Science, vol. 43, no. 1, pp. 115–135, Jan. 2015, doi: https://doi.org/10.1007/s11747-014-0403-8
[28] J. F. Hair, Jr., G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Cham, Switzerland: Springer, 2021, doi: https://doi.org/10.1007/978-3-030-80519-7
[29] C. Fornell and D. F. Larcker, “Evaluating structural equation models with unobservable variables and measurement error,” Journal of Marketing Research, vol. 18, no. 1, pp. 39–50, Feb. 1981, doi: https://doi.org/10.1177/002224378101800104
[30] A. M. Kaplan and M. Haenlein, “Users of the world, unite! The challenges and opportunities of social media,” Business Horizons, vol. 53, no. 1, pp. 59–68, Jan.–Feb. 2010, doi: https://doi.org/10.1016/j.bushor.2009.09.003


