Impacts of personalized advertising on online purchasing behavior of young consumers on TikTok Shop
-
DOIhttp://dx.doi.org/10.21511/im.21(4).2025.20
-
Article InfoVolume 21 2025, Issue #4, pp. 277-289
- 16 Views
-
1 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
The rise of social commerce has transformed online purchasing behavior, with platforms like TikTok Shop integrating personalized advertising to enhance consumer engagement. This study investigates the impact of perceived personalized advertising on online purchasing behavior among young consumers in Vietnam. The research examines how advertising value, perceived relevance, perceived novelty, and privacy concern mediate the relationship between personalized advertising and purchasing behavior. A quantitative approach was employed, collecting data from 287 young customers, aged 18 to 35, who had experience purchasing via TikTok Shop in 2024. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the study tested both direct and indirect effects among the proposed variables. Findings indicate the total effect of personalized advertising on purchasing behavior through advertising value, perceived relevance, and perceived novelty with t-statistics of 8.075 and a p-value below 1%. Notably, perceived novelty emerged as the most influential mediator (t = 4.543 and p-value = 0.000), suggesting that creative and distinctive advertising is pivotal in motivating purchase decisions. The second and third influential mediators are advertising value (t = 3.600, p-value = 0.000) and perceived relevance (t = 3.598, p-value = 0.000). In contrast, privacy concern had no significant impact on purchasing behavior, implying that young consumers prioritize engaging and relevant advertisements over potential risks to personal data. These results provide meaningful theoretical contributions to digital marketing literature and offer practical implications for marketers.
- Keywords
-
JEL Classification (Paper profile tab)M10, M31, M37
-
References48
-
Tables6
-
Figures1
-
- Figure 1. Research model
-
- Table 1. Measurement scales
- Table 2. Demographics of respondents
- Table 3. Reliability of the scales
- Table 4. HTMT matrix
- Table 5. Hypothesis test of direct effects
- Table 6. Hypothesis test of indirect effects
-
- Adyantari, A. (2023). Generation Y and Z’s Attitude toward Online Video Advertisement Effect on Impulsive Buying Tendency: Evidence from TikTok. Review of Management and Entrepreneurship, 7(2).
- Aguirre, E., Roggeveen, A. L., Grewal, D., & Wetzels, M. (2016). The personalization-privacy paradox: implications for new media. Journal of Consumer Marketing, 33(2), 98-110.
- Alalwan, A. A. (2018). Investigating the impact of social media advertising features on customer purchase intention. International Journal of Information Management, 42, 65-77.
- Alkis, A., & Kose, T. (2022). Privacy concerns in consumer E-commerce activities and response to social media advertising: Empirical evidence from Europe. Computers in Human Behavior, 137, 107412.
- Aslam, H., Rashid, M., & Chaudhary, N. (2021). Impact of Personalized Social Media Advertising on Online Impulse Buying Behavior. SEISENSE Business Review, 1(3), 12-25.
- Azizah, F. D., Nur, A. N., & Putra, A. H. P. K. (2022). Impulsive Buying Behavior: Implementation of IT on Technology Acceptance Model on E-Commerce Purchase Decisions. Golden Ratio of Marketing and Applied Psychology of Business, 2(1), 58-72.
- Baek, T. H., & Morimoto, M. (2012). Stay Away From Me. Journal of Advertising, 41(1), 59-76.
- Balogh-Kardos, V., Balogh, R., & Gál, T. (2025). The role of demographic characteristics and shopping habits in online shopping behavior. Innovative Marketing, 21(1), 170-181.
- Barcelona, A. B., Angeles, R. J. G., Clemente, C. A., Dela Cruz, S. R. B., Malimban, R. L. O., Santos, J. E. G., & Tan, J. C. D. (2022). #Budolfinds: The Role of TikTok’s Shopee Finds’ Videos in the Impulsive Buying Behavior of Generation Z Consumers. International Journal of Multidisciplinary: Applied Business and Education Research, 3(11), 2316-2328.
- Brackett, L. K., & Carr, B. N. (2001). Cyberspace Advertising vs. Other Media: Consumer vs. Mature Student Attitudes. Journal of Advertising Research, 41(5), 23-33.
- Canhoto, A. I., Keegan, B. J., & Ryzhikh, M. (2024). Snakes and Ladders: Unpacking the Personalisation-Privacy Paradox in the Context of AI-Enabled Personalisation in the Physical Retail Environment. Information Systems Frontiers, 26(3), 1005-1024.
- Chandra, S., Verma, S., Lim, W. M., Kumar, S., & Donthu, N. (2022). Personalization in personalized marketing: Trends and ways forward. Psychology & Marketing, 39(8), 1529-1562.
- Charoensereechai, C., Nurittamont, W., Phayaphrom, B., & Siripipatthanakul, S. (2022). Understanding the Effect of Social Media Advertising Values on Online Purchase Intention: A Case of Bangkok, Thailand. SSRN Electronic Journal.
- Dodoo, N. A., & Wu, L. (2019). Exploring the anteceding impact of personalised social media advertising on online impulse buying tendency. International Journal of Internet Marketing and Advertising, 13(1), 73.
- Dolega, L., Rowe, F., & Branagan, E. (2021). Going digital? The impact of social media marketing on retail website traffic, orders and sales. Journal of Retailing and Consumer Services, 60, 102501.
- Ducoffe, R. H. (1995). How Consumers Assess the Value of Advertising. Journal of Current Issues & Research in Advertising, 17(1), 1-18.
- Feng, Z., Al Mamun, A., Masukujjaman, M., & Yang, Q. (2023). Modeling the significance of advertising values on online impulse buying behavior. Humanities and Social Sciences Communications, 10(1), 1-17.
- Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50.
- Frasquet, M., Ieva, M., & Mollá-Descals, A. (2024). Customer inspiration in retailing: The role of perceived novelty and customer loyalty across offline and online channels. Journal of Retailing and Consumer Services, 76, 103592.
- Gu, S., Ślusarczyk, B., Hajizada, S., Kovalyova, I., & Sakhbieva, A. (2021). Impact of the COVID-19 Pandemic on Online Consumer Purchasing Behavior. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2263-2281.
- Gulfraz, M. B., Sufyan, M., Mustak, M., Salminen, J., & Srivastava, D. K. (2022). Understanding the impact of online customers’ shopping experience on online impulsive buying: A study on two leading E-commerce platforms. Journal of Retailing and Consumer Services, 68, 103000.
- Hadoussa, S., Amari, A., & Jaoua, F. (2023). Study of determinants of online purchasing behaviour: experience of Saudi women regarding luxury beauty products on social media. Journal of Decision Systems, 32(2), 513-534.
- 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.
- Hieu, N. K., Van, N. T. T., Van, N. T. A., & Hanh, N. T. M. (2023). Determinants of switching intention from gasoline to electric cars: an emerging country perspective. Journal for Global Business Advancement, 16(5), 642-664.
- Hung, T. H., Trinh, V. H., & Le, T. M. (2025). Exploring the impact of influencers’ characteristics on the cosmetics purchase intentions of TikTok users. Innovative Marketing, 21(2), 27-39.
- Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1-10.
- Lina, L. F., & Setiyanto, A. (2021). Privacy Concerns in Personalized Advertising Effectiveness on Social Media. Sriwijaya International Journal of Dynamic Economics and Business, 5(2), 147-156.
- Lu, B., & Yi, X. (2023). Institutional trust and repurchase intention in the sharing economy: The moderating roles of information privacy concerns and security concerns. Journal of Retailing & Consumer Services, 73, 103327.
- Lyngdoh, T., El-Manstrly, D., & Jeesha, K. (2023). Social isolation and social anxiety as drivers of generation Z’s willingness to share personal information on social media. Psychology & Marketing, 40(1), 5-26.
- Maseeh, H. I., Jebarajakirthy, C., Pentecost, R., Arli, D., Weaven, S., & Ashaduzzaman, M. (2021). Privacy concerns in e-commerce: A multilevel meta-analysis. Psychology & Marketing, 38(10), 1779-1798.
- Mo, L., Zhang, X., Lin, Y., Yuan, Z., & Peng, Z. (2023). Consumers’ Attitudes towards Online Advertising: A Model of Personalization, Informativeness, Privacy Concern and Flow Experience. Sustainability, 15(5), 4090.
- Morimoto, M. (2021). Privacy concerns about personalized advertising across multiple social media platforms in Japan: the relationship with information control and persuasion knowledge. International Journal of Advertising, 40(3), 431-451.
- Nguyen, H. (2024). Impacts of digital transformation on financial performance: evidence from Vietnam. Financial & Credit Activity: Problems of Theory & Practice, 5(58), 175-184.
- Nguyen, K. H., Nguyen, T. A. V., Dang, T. T. H., & Hoang, S. D. (2025). Circular economy practices, green innovation and financial performance: The moderating role of big data analytics. E&M Economics and Management, 28(3), 1-16.
- Nyrhinen, J., Sirola, A., Koskelainen, T., Munnukka, J., & Wilska, T.-A. (2024). Online antecedents for young consumers’ impulse buying behavior. Computers in Human Behavior, 153, 108129.
- Odoom, P. T. (2022). Personalised Display Advertising and Online Purchase Intentions. International Journal of E-Services and Mobile Applications, 14(1), 1-16.
- Phan, T. A., Van Nguyen, A., Van Ho, N., & Ha Hai, G. (2024). Social media marketing and customer purchase intention: Evidence-based bibliometrics and text analysis. Innovative Marketing, 20(2), 169-181.
- Podsakoff, P. M., Mackenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
- Putri, N., Prasetya, Y., Handayani, P. W., & Fitriani, H. (2024). TikTok Shop: How trust and privacy influence generation Z’s purchasing behaviors. Cogent Social Sciences, 10(1).
- Shanahan, T., Tran, T. P., & Taylor, E. C. (2019). Getting to know you: Social media personalization as a means of enhancing brand loyalty and perceived quality. Journal of Retailing and Consumer Services, 47, 57-65.
- Thuy, D. C., & Quang, N. N. (2025). Influence of Livestream Selling on Purchase Intention Fashion Products on TikTok. SAGE Open, 15(3), 21582440251375733.
- Tran, T. P. (2017). Personalized ads on Facebook: An effective marketing tool for online marketers. Journal of Retailing and Consumer Services, 39, 230-242.
- Tran, T. P., Muldrow, A., & Ho, K. N. B. (2021). Understanding drivers of brand love - the role of personalized ads on social media. Journal of Consumer Marketing, 38(1), 1-14.
- Trang, T. T. N., Thang, P. C., Nguyen, G. T. T., & Nguyen, H. T. M. (2025). Factors driving Gen Z’s news engagement on TikTok: A hybrid analysis through CB-SEM and PLS-SEM. Computers in Human Behavior Reports, 18, 100645.
- Tu, J. C., Hsu, C. F., & Creativani, K. (2022). A study on the effects of consumers’ perception and purchasing behavior for second-hand luxury goods by perceived value. Sustainability, 14(16), 10397.
- Van Nguyen, T. A., Nguyen, K. H., & Tucek, D. (2023). Total Quality Management 4.0 Framework: Present and Future. Total Quality Management, 16(3), 311-322.
- Vashishth, T. K., Sharma, K. K., Kumar, B., Chaudhary, S., & Panwar, R. (2025). Enhancing customer experience through AI-enabled content personalization in e-commerce marketing. In Advances in digital marketing in the era of artificial intelligence (pp. 7-32).
- Zhang, X. (Alan), Kumar, V., & Cosguner, K. (2017). Dynamically Managing a Profitable Email Marketing Program. Journal of Marketing Research, 54(6), 851-866.


