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Abstract
This study explores the influence of digital personalization, trust in influencers, and customer engagement on online purchase decisions among Generation Z. As digital technology continues to evolve, consumer behavior—especially among Gen Z—has shifted toward more personalized, interactive, and influencer-driven experiences. Gen Z, being digital natives, respond strongly to tailored content and value engaging, trustworthy digital interactions in their purchasing journey. Using a quantitative explanatory approach, data were collected through a structured survey targeting Gen Z individuals who are active social media users and frequent online shoppers. The results reveal that all three variables—digital personalization, trust in influencers, and customer engagement—have a positive and significant impact on online purchase decisions. Among these, customer engagement emerges as the most influential factor in shaping purchase behavior. These findings highlight the critical role of personalized digital experiences, credible influencer relationships, and meaningful brand-customer interactions in driving Gen Z’s online buying decisions.
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References
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References
Ashley, C., & Tuten, T. (2015). Creative strategies in social media marketing: An exploratory study of branded social content and consumer engagement. Psychology & Marketing, 32(1), 15–27.
Bogdan, A. et al. (2025). Mediators between eWOM credibility and purchase intention. Retrieved from http://arxiv.org/abs/2504.05359v1
Cao, H. et al. (2020). Social commerce in instant messaging: Trust, community & decision-making. Retrieved from http://arxiv.org/abs/2011.00191v2
Chen, T. et al. (2024). Unlocking the 'Why' of buying: Purchase reason and post-purchase experience. Retrieved from http://arxiv.org/abs/2402.13417v3
Chen, T., Zuo, S., Li, C., Zhang, M., Mei, Q., & Bendersky, M. (2024). Unlocking the `Why’ of buying: Introducing a new dataset and benchmark for purchase reason and post-purchase experience. arXiv preprint arXiv:2402.13417. Retrieved from http://arxiv.org/abs/2402.13417v3
Colas, A. et al. (2023). Knowledge-grounded natural language recommendation explanation. Retrieved from http://arxiv.org/abs/2308.15813v1
Das, D. (2022). Trustworthiness of online reviews: Rationality in e-commerce decisions. Retrieved from http://arxiv.org/abs/2210.00815v2
De Veirman, M., Cauberghe, V., & Hudders, L. (2017). Marketing through Instagram influencers: The impact of number of followers and product divergence on brand attitude. International Journal of Advertising, 36(5), 798–828.
Djafarova, E., & Rushworth, C. (2017). Exploring the credibility of online celebrities’ Instagram profiles in influencing the purchase decisions of young female users. Computers in Human Behavior, 68, 1–7.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications.
Hinnosaar, M., & Hinnosaar, T. (2024). Influencer cartels: Market failures in influencer economy. Retrieved from http://arxiv.org/abs/2405.10231v2
Hu, X., & Lei, H. (2023). Credibility and persuasion in online markets. Retrieved from http://arxiv.org/abs/2310.09544v1
Khamoushi, E. (2024). AI in food marketing: Personalized recommendations and predictive analytics. Retrieved from http://arxiv.org/abs/2410.01815v1
Kraus, M., & Feuerriegel, S. (2019). Personalized purchase prediction using sequence matching techniques. Retrieved from http://arxiv.org/abs/1905.13131v2
Li, Z. et al. (2024). Exploring personality-driven personalization in XAI. Retrieved from http://arxiv.org/abs/2408.04778v1
Prihatin, E., Ahmad, A., & Syahnur, M. H. (2023). Niat Beli Produk Kosmetik yang Dipengaruhi Promosi Media Sosial dan Electronic Word of Mouth (E-WoM). Jesya (Jurnal Ekonomi dan Ekonomi Syariah), 6(1), 1100-1110. https://doi.org/https://doi.org/10.36778/jesya.v6i1.1162
Ramani, G. P. et al. (2024). Persuasion games using large language models in digital commerce. Retrieved from http://arxiv.org/abs/2408.15879v2
Ramlawati, R., Bahari, A. F., & Syahnur, M. H. (2022). Company’s Performance as Measured by the Application of Big Data Analysis Capabilities for Customers. Jurnal Minds: Manajemen Ide dan Inspirasi, 9(1), 109-126. https://doi.org/10.24252/minds.v9i1.27637
Sinha, R. et al. (2022). Bayesian modeling of marketing attribution. Retrieved from http://arxiv.org/abs/2205.15965v1
Srinivas, S. S. et al. (2025). AI for hyperpersonalized advertising in competitive markets. Retrieved from http://arxiv.org/abs/2504.00338v1
Syahnur, M. H., Basalamah, J., & Gani, A. A. (2020). Customer Experience Factor Analysis Towards Customer Satisfaction Online Shopping. Jurnal Analisis Bisnis Ekonomi, 18(2), 83-94. https://doi.org/10.31603/bisnisekonomi.v18i2.3822
Syahnur, M. H., & Bahari, A. F. (2023). Determinants of Neighborhood References, and Environmental Stimuli on Purchasing Decisions for Halal Products for Consumers. Golden Ratio of Marketing and Applied Psychology of Business, 3(1), 20-33. https://doi.org/10.52970/grmapb.v3i1.277
Tajuddin, I., Mahmud, A., & Syahnur, M. H. (2023). Determinants of Strategic Factors for Digital Transformation in Micro and Small Enterprises in Makassar City. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 131-144. https://doi.org/10.15408/sjie.v12i1.31070.
Vallarino, D. (2023). Buy when? Survival machine learning for purchase timing. Retrieved from http://arxiv.org/abs/2308.14343v1
Yang, J. et al. (2022). Personalized promotion decision making with long-term impact. Retrieved from http://arxiv.org/abs/2207.14798v1