Research on the Influence of Peer Interaction on the Online Shopping Intentions of Generation Z in Vietnam: A Case Study of the TikTok Platform
DOI:
https://doi.org/10.54691/y0pmym39Keywords:
Peer Communication, Online Shopping Intention, Perceived Brand Quality, Attitude, Privacy Concerns, Generation ZAbstract
This study examines the impact of TikTok peer communication on online shopping intention among Vietnamese Generation Z consumers with prior TikTok shopping experience. In the context of rapid digitalization and the growth of social commerce, TikTok has become a key platform where Gen Z consumers access information, interact with peers, and engage in purchasing activities. Grounded in the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), this study proposes a research model incorporating mediating and moderating mechanisms, in which perceived brand quality and online shopping attitude act as mediators, and privacy concern serves as a moderator. Data were collected from 556 Vietnamese Gen Z respondents using a structured questionnaire and analyzed with SPSS and AMOS through reliability testing, exploratory and confirmatory factor analysis, and structural equation modeling. The findings reveal that TikTok peer communication significantly enhances perceived brand quality and online shopping attitude, both of which mediate its effect on online shopping intention. In addition, privacy concern significantly moderates the relationships between perceived brand quality, attitude, and purchase intention. These results provide important insights into Gen Z consumer behavior in TikTok-based social commerce and offer practical implications for platform operators and marketers.
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[1] MARTÍNEZ-NAVARRO E B. The value of marketer-generated content on social network sites: Media antecedents and behavioral responses[J]. Journal of Electronic Commerce Research, 2017, 18(1): 52–72.
[2] ZHANG Y, DAUGHERTY A. ANG II infusion promotes abdominal aortic aneurysms independent of increased blood pressure in hypercholesterolemic mice[J]. American Journal of Physiology-Heart and Circulatory Physiology, 2009, 296(5): H1660–H1665. DOI: https://doi.org/10.1152/ajpheart.00028.2009
[3] WANG X, YU C. Social media peer communication and impacts on purchase intentions: A consumer socialization framework[J]. Journal of Interactive Marketing, 2012, 26(4): 198–208. DOI: https://doi.org/10.1016/j.intmar.2011.11.004
[4] SHANAHAN T, TRAN T P, TAYLOR E C. Getting to know you: Social media personalization as a means of enhancing brand loyalty and perceived quality[J]. Journal of Retailing and Consumer Services, 2019, 47: 57–65. DOI: https://doi.org/10.1016/j.jretconser.2018.10.007
[5] BERTHON P R, PITT L F, PLANGGER K, et al. Marketing meets Web 2.0, social media, and creative consumers: Implications for international marketing strategy[J]. Business Horizons, 2012, 55(3): 261–271. DOI: https://doi.org/10.1016/j.bushor.2012.01.007
[6] GOOGLE, TEMASEK. e-Conomy SEA 2021: Roaring 20s – The SEA digital decade[R]. 2021.
[7] DIMOCK M. Defining generations: Where Millennials end and Generation Z begins[R]. Pew Research Center, 2019, 17(1): 1–7.
[8] GENERAL STATISTICS OFFICE OF VIETNAM. Report on youth and adolescents in Vietnam 2020[R]. 2020.
[9] DREAMPLEX, DECISION LAB. Vietnam Gen Z Report 2020: The rise of a new powerhouse[R]. 2020.
[10] BHANDARI A. Why’s everyone on TikTok now? The algorithmized self and the future of self-making on social media[J]. Social Media + Society, 2022, 8(1). DOI: https://doi.org/10.1177/20563051221086241
[11] KEMP S. Digital 2023: Vietnam [EB/OL]. DataReportal, 2023.
[12] PHAN N T T. The influence of key opinion consumers on customers' purchase intention via TikTok: The case of Generation Z in Vietnam[J]. Review of Integrative Business and Economics Research, 2024, 13(1): 51–70.
[13] NGUYEN T S, et al. The impact of online reviews and eWOM on impulse buying tendency: A study of Vietnamese Gen Z consumers[J]. Journal for International Business and Entrepreneurship Development, 2024, 16(1): 117–141. DOI: https://doi.org/10.1504/JIBED.2024.139129
[14] SALAM K N. Gen-Z marketing strategies: Understanding consumer preferences and building sustainable relationships[J]. Golden Ratio of Mapping Idea and Literature Format, 2024, 4(1): 53–77. DOI: https://doi.org/10.52970/grmilf.v4i1.351
[15] SARDAR S. Social media influencers and purchase intention: A review and research agenda[J]. International Journal of Consumer Studies, 2025, 49(3): e70046. DOI: https://doi.org/10.1111/ijcs.70046
[16] SHARMA H, et al. Evaluating the relative effect of Instagram and celebrity influencers on brand attitude and purchase intention among Generation Z: A fashion industry perspective[J]. International Journal of Internet Marketing and Advertising, 2025, 23(1–2): 80–97. DOI: https://doi.org/10.1504/IJIMA.2025.147547
[17] CALVO-PORRAL C, LÉVY-MANGIN J P. Store brands’ purchase intention: Examining the role of perceived quality[J]. European Research on Management and Business Economics, 2017, 23(2): 90–95. DOI: https://doi.org/10.1016/j.iedeen.2016.10.001
[18] KONUK F A. The role of store image, perceived quality, trust and perceived value in predicting consumers’ purchase intentions towards organic private label food[J]. Journal of Retailing and Consumer Services, 2018, 43: 304–310. DOI: https://doi.org/10.1016/j.jretconser.2018.04.011
[19] ZEITHAML V A, BERRY L L, PARASURAMAN A. The behavioral consequences of service quality[J]. Journal of Marketing, 1996, 60(2): 31–46. DOI: https://doi.org/10.1177/002224299606000203
[20] CHEN C F, CHANG Y Y. Airline brand equity, brand preference, and purchase intentions—The moderating effects of switching costs[J]. Journal of Air Transport Management, 2008, 14(1): 40–42. DOI: https://doi.org/10.1016/j.jairtraman.2007.11.003
[21] EBRAHIM R, et al. A brand preference and repurchase intention model: The role of consumer experience[J]. Journal of Marketing Management, 2016, 32(13–14): 1230–1259. DOI: https://doi.org/10.1080/0267257X.2016.1150322
[22] DAVIS F D. Perceived usefulness, perceived ease of use and user acceptance of information technology[J]. MIS Quarterly, 1989, 13(3): 319–340. DOI: https://doi.org/10.2307/249008
[23] LIANG T P, HUANG J S. An empirical study on consumer acceptance of products in electronic markets: A transaction cost model[J]. Decision Support Systems, 1998, 24(1): 29–43. DOI: https://doi.org/10.1016/S0167-9236(98)00061-X
[24] EASTLICK M A. Consumer intention to adopt interactive teleshopping[R]. Marketing Science Institute, 1996: 35–38.
[25] SHIM S, et al. An online prepurchase intentions model: The role of intention to search[J]. Journal of Retailing, 2001, 77(3): 397–416. DOI: https://doi.org/10.1016/S0022-4359(01)00051-3
[26] HARRIGAN P, et al. Identifying influencers on social media[J]. International Journal of Information Management, 2021, 56. DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102246
[27] ZHU Y, XU W. Privacy concerns and social media usage: A study of Generation Z[J]. Information, Communication & Society, 2022, 25(10): 1425–1442.
[28] HOANG T N, TRAN T T. Factors affecting Vietnamese consumers’ intention to purchase on social commerce platforms[J]. Journal of Asian Business and Economic Studies, 2023, 30(1): 45–61.
[29] MISHRA A, et al. Adolescent's eWOM intentions: An investigation into the roles of peers, the Internet and gender[J]. Journal of Business Research, 2018, 86: 394–405. DOI: https://doi.org/10.1016/j.jbusres.2017.04.005
[30] WESTERMAN D, SPENCE P R, VAN DER HEIDE B. Social media as information source: Recency of updates and credibility of information[J]. Journal of Computer-Mediated Communication, 2014, 19(2): 171–183. DOI: https://doi.org/10.1111/jcc4.12041
[31] CHENG X, FU S, DE VREEDE G J. Understanding trust influencing factors in social media communication: A qualitative study[J]. International Journal of Information Management, 2017, 37(2): 25–35. DOI: https://doi.org/10.1016/j.ijinfomgt.2016.11.009
[32] ELLISON N B, STEINFIELD C, LAMPE C. The benefits of Facebook “friends”: Social capital and college students’ use of online social network sites[J]. Journal of Computer-Mediated Communication, 2007, 12(4): 1143–1168. DOI: https://doi.org/10.1111/j.1083-6101.2007.00367.x
[33] KIM Y A, SRIVASTAVA J. Impact of social influence in e-commerce decision making[C]. Proceedings of the Ninth International Conference on Electronic Commerce, 2007: 293–302. DOI: https://doi.org/10.1145/1282100.1282157
[34] HUANG Z, BENYOUCEF M. From e-commerce to social commerce: A close look at design features[J]. Electronic Commerce Research and Applications, 2013, 12(4): 246–259. DOI: https://doi.org/10.1016/j.elerap.2012.12.003
[35] SHIM S. Adolescent consumer decision-making styles: The consumer socialization perspective[J]. Psychology and Marketing, 1996, 13(6): 547–569. DOI: https://doi.org/10.1002/(SICI)1520-6793(199609)13:6<547::AID-MAR2>3.0.CO;2-8
[36] JIANG X Y. Research on TikTok based on user-centric theory [J]. Applied Science and Innovative Research, 2019, 3(1): 28. DOI: https://doi.org/10.22158/asir.v3n1p28
[37] FRANCIS T, HOEFEL F. True Gen: Generation Z and its implications for companies [EB/OL]. 2018.
[38] ZEITHAML V A. Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence[J]. Journal of Marketing, 1988, 52(3): 2–22. DOI: https://doi.org/10.1177/002224298805200302
[39] KELLER K L. Conceptualizing, measuring, and managing customer-based brand equity[J]. Journal of Marketing, 1993, 57(1): 1–22. DOI: https://doi.org/10.1177/002224299305700101
[40] JHA B. The role of social media communication: Empirical study of online purchase intention of financial products[J]. Global Business Review, 2019, 20(6): 1445–1461. DOI: https://doi.org/10.1177/0972150919848912
[41] SCHIVINSKI B, DABROWSKI D. The impact of brand communication on brand equity through Facebook[J]. Journal of Research in Interactive Marketing, 2015, 9(1): 31–53. DOI: https://doi.org/10.1108/JRIM-02-2014-0007
[42] STOJANOVIC I, ANDREU L, CURRAS-PEREZ R. Social media communication and destination brand equity[J]. Journal of Hospitality and Tourism Technology, 2022, 13(4): 650–666. DOI: https://doi.org/10.1108/JHTT-11-2020-0302
[43] ALBA J W, HUTCHINSON J W. Dimensions of consumer expertise[J]. Journal of Consumer Research, 1987, 13(4): 411–454. DOI: https://doi.org/10.1086/209080
[44] DAS G. Linkages between self-congruity, brand familiarity, perceived quality and purchase intention: A study of fashion retail brands[J]. Journal of Global Fashion Marketing, 2015, 6(3): 180–193. DOI: https://doi.org/10.1080/20932685.2015.1032316
[45] AJZEN I, FISHBEIN M. Understanding attitudes and predicting social behaviour[M]. Prentice-Hall, 1980.
[46] AJZEN I. The theory of planned behaviour[J]. Organizational Behavior and Human Decision Processes, 1991, 50(2): 179–211. DOI: https://doi.org/10.1016/0749-5978(91)90020-T
[47] AL-DEBEI M M, AL-LOZI E, PAPAZAFEIROPOULOU A. Why people keep coming back to Facebook: Explaining and predicting continuance participation from an extended theory of planned behaviour perspective[J]. Decision Support Systems, 2013, 55(1): 43–54. DOI: https://doi.org/10.1016/j.dss.2012.12.032
[48] PAVLOU P A, FYGENSON M. Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior[J]. MIS Quarterly, 2006, 30(1): 115–143. DOI: https://doi.org/10.2307/25148720
[49] TSAI M T, CHENG N C, CHEN K S. Understanding online group buying intention: The roles of sense of virtual community and technology acceptance factors[J]. Total Quality Management & Business Excellence, 2011, 22(10): 1091–1104. DOI: https://doi.org/10.1080/14783363.2011.614870
[50] LEE K F. Towards addressing persistent risk perceptions in online shopping[J]. Skyline Business Journal, 2016, 12(1): 1–10.
[51] BARUH L, SECINTI E, CEMALCILAR Z. Online privacy concerns and privacy management: A meta-analytical review[J]. Journal of Communication, 2017, 67(1): 26–53. DOI: https://doi.org/10.1111/jcom.12276
[52] SALO J, KARJALUOTO H. A conceptual model of trust in the online environment[J]. Online Information Review, 2007, 31(5): 604–621. DOI: https://doi.org/10.1108/14684520710832324
[53] ARDIANSYAH Y, HARRIGAN P, SOUTAR G N, et al. Antecedents to consumer peer communication through social advertising: A self-disclosure theory perspective[J]. Journal of Interactive Advertising, 2018, 18(1): 55–71. DOI: https://doi.org/10.1080/15252019.2018.1437854
[54] YUN H, LEE G, KIM D J. A chronological review of empirical research on personal information privacy concerns: An analysis of contexts and research constructs[J]. Information & Management, 2019, 56(4): 570–601. DOI: https://doi.org/10.1016/j.im.2018.10.001
[55] VEYBITHA Y, ALFANSI L, SALIM M, et al. Critical review: Factors affecting online purchase intention generation Z[J]. Journal of International Conference Proceedings, 2021, 4(1): 354–363. DOI: https://doi.org/10.32535/jicp.v4i1.1162
[56] HSU C L, LU H P. Consumer behavior in online game communities: A motivational factor perspective[J]. Computers in Human Behavior, 2007, 23(3): 1642–1659. DOI: https://doi.org/10.1016/j.chb.2005.09.001
[57] VENKATESH V, DAVIS F D. A theoretical extension of the technology acceptance model: Four longitudinal field studies[J]. Management Science, 2000, 46(2): 186–204. DOI: https://doi.org/10.1287/mnsc.46.2.186.11926
[58] VENKATESH V, MORRIS M G, DAVIS G B, et al. User acceptance of information technology: Toward a unified view[J]. MIS Quarterly, 2003, 27(3): 425–478. DOI: https://doi.org/10.2307/30036540
[59] MENON S, KAHN B. Cross-category effects of induced arousal and pleasure on the internet shopping experience[J]. Journal of Retailing, 2002, 78(1): 31–40. DOI: https://doi.org/10.1016/S0022-4359(01)00064-1
[60] TRUSOV M, BODAPATI A V, BUCKLIN R E. Determining influential users in internet social networks[J]. Journal of Marketing Research, 2010, 47(4): 643–658. DOI: https://doi.org/10.1509/jmkr.47.4.643
[61] MELIAWATI T, GERALD S C, ARUMAN A E. The effect of social media marketing TikTok and product quality towards purchase intention[J]. Journal of Consumer Sciences, 2023, 8(1): 77–92. DOI: https://doi.org/10.29244/jcs.8.1.77-92
[62] CHEN H, SHAO B, et al. How IT affordances influence customer engagement in live streaming commerce? A dual-stage analysis of PLS-SEM and fsQCA[J]. Journal of Retailing and Consumer Services, 2023, 74: 103390. DOI: https://doi.org/10.1016/j.jretconser.2023.103390
[63] NGO T T A, et al. The effects of social media live streaming commerce on Vietnamese Generation Z consumers’ purchase intention[J]. Innovative Marketing, 2023, 19(4): 269–283. DOI: https://doi.org/10.21511/im.19(4).2023.22
[64] RICHARDSON P S, DICK A S, JAIN A K. Extrinsic and intrinsic cue effects on perceptions of store brand quality[J]. Journal of Marketing, 1994, 58(4): 28–36. DOI: https://doi.org/10.1177/002224299405800403
[65] SUN Y, et al. How live streaming influences purchase intentions in social commerce: An IT affordance perspective[J]. Electronic Commerce Research and Applications, 2022, 37. DOI: https://doi.org/10.1016/j.elerap.2019.100886
[66] ANANDA N R F, HALIM E. Impact of reels video marketing on customers’ purchase intention[J]. Journal of Social Science, 2022, 3(6). DOI: https://doi.org/10.46799/jss.v3i6.489
[67] PAVLOU P A. Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model[J]. International Journal of Electronic Commerce, 2003, 7(3): 101–134. DOI: https://doi.org/10.1080/10864415.2003.11044275
[68] FORNELL C, LARCKER D F. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of Marketing Research, 1981, 18(1): 39–50. DOI: https://doi.org/10.1177/002224378101800104
[69] HAIR J F, HULT G T M, RINGLE C M, et al. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) [M]. 2nd ed. Thousand Oaks: Sage Publications, 2017.
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