The Influence of User-Generated Content (UGC) on Generation Z Purchase Decisions on E-Commerce Platforms

Caca Sukma Saeful Hidayat; Agus Maolana Hidayat; Arry Widodo; Nurafni Rubiyanti

doi:10.55927/fjas.v4i6.161

Authors

Caca Sukma Saeful Hidayat Universitas Telkom
Agus Maolana Hidayat Universitas Telkom
Arry Widodo Universitas Telkom
Nurafni Rubiyanti Universitas Telkom

DOI:

https://doi.org/10.55927/fjas.v4i6.161

Keywords:

User-Generated Content (UGC), Purchase Decisions, Generation Z, Consumer Trust, Social Influence

Abstract

This study aims to analyze the influence of User-Generated Content (UGC) characteristics, namely authenticity, relevance, and emotional engagement, on Generation Z's purchasing decisions on e-commerce platforms. In addition, this study also explores the role of trust as a mediator and social influence (recommendations of friends/micro-influencers) as moderation variables in these relationships. The method used is a quantitative approach with the distribution of online questionnaires to 250 Generation Z respondents who are actively shopping through platforms such as Shopee and Tokopedia. The purposive sampling technique ensures the relevance of the sample, while the data is analyzed using Structural Equation Modeling (SEM) after being tested for reliability (Cronbach's Alpha) and convergent validity. SEM results showed that UGC authenticity was the strongest predictor of purchase decisions (β = 0.38; p < 0.001). Emotional engagement from visual content (unboxing videos, tutorials) and user reviews also increases consumer trust by up to 27%.

References

Arnett, J. J. (2000). “Emerging Adulthood: A Theory of Development from the Late Teens through the Twenties.” American Psychologist, 55(5), 469–480.

Bilgihan, A., Nusair, K., Okumus, F. & Cobanoglu, C. (2016). Gen Y travelers’ acceptance of social media marketing. Journal of Travel & Tourism Marketing, 33(1), 34–53.

BrightLocal. (2022). Local consumer review survey 2022.

Bruns, A. (2019). Produsage and its Afterlives: Lessons from Wikipedia and Beyond. In Understanding Digital Media and Society (pp. 109–125). Palgrave Macmillan.

Cheung, C. M. K., Xiao, B. S., & Liu, I. L. B. (2014). Do actions speak louder than voices? The signaling role of social information cues in influencing consumer purchase decisions. Decision Support Systems, 65, 50-58. https://doi.org/10.1016/j.dss.2014.05.002.

Cheung, C. M. K., Xiao, B. S., & Liu, I. L. B. (2014). Do actions speak louder than voices? The signaling role of social information cues in influencing consumer purchase decisions. Decision Support Systems, 65, 50–58. https://doi.org/10.1016/j.dss.2014.05.002.

Cialdini, R. B. (2001). The science of persuasion. Scientific American, 284(2), 76–81. https://doi.org/10.1038/scientificamerican0201-76.

Cialdini, R. B., Trost, M. R. & Newsom, J. T. (2017). Explaining psychological reactance with effects of scarcity, authority, and social proof in online UGC contexts. Journal of Consumer Psychology, 27(4), 465–480.

Djafarova, E. & Bowes, T. (2021). Instagram influencers and Generation Z consumer behaviour: The role of authenticity. Journal of Retailing and Consumer Services, 58, 102304.

Djafarova, E., & Bowden, J. (2021). ‘Instafamous’ – Credibility and self-presentation of micro-influencers on social media. Information, Communication & Society, 24(2), 1–16. https://doi.org/10.1080/1369118X.2019.1650271.

Djafarova, E., & Bowes, T. (2021). “Exploring emotional engagement in user-generated visual content: The case of video unboxing.” Journal of Consumer Behaviour, 20(4), 324–339.

Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth. Tourism Management, 51, 174–185. https://doi.org/10.1016/j.tourman.2015.05.007.

Jenkins, H., Ito, M. & boyd, d. (2015). Participatory Culture in a Networked Era: A Conversation on Youth, Learning, Commerce, and Politics. Polity Press.

Katz, E., Blumler, J. G. & Gurevitch, M. (Eds.). (2017). uses and gratifications research: The past ten years and the future. Annals of the International Communication Association, 40(1), 157–189.

Kim, J., & Kim, M. (2020). The effects of user-generated content (UGC) types and perceived source credibility on consumer responses in the cosmetic industry. Journal of Retailing and Consumer Services, 56, 102174. https://doi.org/10.1016/j.jretconser.2020.102174.

Kumar, V., Dixit, A., Javalgi, R. G. & Dass, M. (2016). Digital transformation in B2B marketing: A review of literature and future research directions. Journal of Business & Industrial Marketing, 32(2), 267–281.

Martínez-López, F. J., Anaya-Sánchez, R., Fernández Giordano, M., & Lopez-Lopez, D. (2020). Behind influencer marketing: Key marketing decisions and their effects on followers’ responses. Journal of Marketing Management, 36(7-8), 579-607. https://doi.org/10.1080/0267257X.2020.1738525.

Montag, C., Yang, H. & Elhai, J. D. (2021). On the psychology of social media use: Sensors and apps to understand Generation Z’s mental health and behavior. Current Opinion in Psychology, 41, 92–97.

Morning Consult. (2022). Gen Z & Millennials: How they’re shaping the future of commerce. https://morningconsult.com.

Morning Consult. (2022). Gen Z and the power of influencer recommendations: 58% say it affects their purchase decisions.

O’Reilly, T. (2005). “What Is Web 2.0: Design Patterns and Business Models for the Next Generation of Software.” O’Reilly Media.

Schivinski, B., Christodoulides, G. & Dabrowski, D. (2016). Measuring consumers’ engagement with brand-related social‐media content: Development and validation of a scale that identifies levels of social media engagement. Journal of Advertising Research, 56(1), 64–80.