Main Article Content
Abstract
This study examines the role of AI-Driven Consumer Trust in mediating the relationship between AI-Driven Personalized Marketing and Consumer Decision-Making among Generation Z consumers in Makassar, Indonesia. A quantitative explanatory design was employed, and data were collected from 128 respondents using purposive sampling. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that AI-driven personalized marketing significantly influences consumer decision-making both directly and indirectly through consumer trust, confirming a partial mediating effect. These results suggest that while personalization enhances the relevance and effectiveness of marketing content, its impact on decision-making is strengthened when consumers develop trust in AI-based systems. Conversely, ethical and privacy implications were not found to have a significant direct effect on consumer decision-making. This finding implies that, within the Generation Z context, perceived practical benefits such as relevance and convenience tend to outweigh normative concerns related to data ethics and privacy. The study contributes to the literature by providing empirical evidence on the mediating role of trust in AI-driven marketing within an emerging market context.
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References
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- Choudhary, M. (2025). The Algorithmic Persuader: Ethical Challenges in AI-Powered Behavioral Manipulation in Digital Marketing. Mrinalini Choudhary, 13–19. https://doi.org/10.5281/zenodo.15474169
- Dede Suleman, Wiwin Wianti, Devy Sofyanty, Joko Ariawan, E. D. S. (2025). THE EFFECT OF AI-DRIVEN PERSONALIZED MARKETING ON CONSUMER PURCHASE DECISIONS: EVIDENCE FROM THE FASHION INDUSTRY. Jurnal Ekonomi Bisnis Manajemen Akuntansi (JEBISMA), 2(3).
- Dr A. Mallika, & Siyad P K. (2025). The Impact of AI-Driven Personalization on Consumer Purchase Intentions. International Journal of Integrated Research and Practice, 7(6), 101–109. https://doi.org/10.65579/31075037.092
- Fan, Y., & Liu, X. (2022). Exploring the role of AI algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions. Frontiers in Psychology, 13(October), 1–17. https://doi.org/10.3389/fpsyg.2022.1009173
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- Gombar, M. M. (2025). Algorithmic Personalization in Social Media Marketing: Shaping Public Perception and Driving Consumer Behavior. Glovento Journal of Integrated Studies, 01(01), 23–35. https://doi.org/10.63665/gjis.v1i1.04
- Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage Publications.
- Hastuti, H. (2025). Strategies for Implementing Digital Governance for Smart City Development in Makassar City. Asian Digital Governance Problems, 2(1), 76–86. https://doi.org/10.71435/639136
- Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
- Lim, S. G. (Edward), & Kim, M. (2025). AI-powered personalized recommendations and pricing: Moderating effects of ethical AI and consumer empowerment. International Journal of Hospitality Management, 130(October 2024), 104259. https://doi.org/10.1016/j.ijhm.2025.104259
- Mariyamah, A. (2025). Gen Z’S Information Behavior in the Era of Ai: a Study Applying Wilson’S Theory (Case Study in Java Island). Jurnal Ilmu Perpustakaan Dan Informasi, 10(2), 488–506.
- Nath, S. (2025). AI-Driven Personalization: Impact on Consumer Trust and Purchase Behaviour. International Journal of Research Publication and Reviews, 6(1), 5110–5115. www.ijrpr.com
- Rasool, M. S., & Sajjad, Dr. N. N. A. (2025). Investigating the Impact of Algorithmic Ad Personalization on Unplanned Buying through Customer Engagement. Journal of Law & Social Studies, 7(4), 274–288. https://doi.org/10.52279/jlss.07.04.274288
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- Sajan Vaidhyanathan. (2025). Algorithmic Digital Transformation in Name-Personalized Retargeting. Journal of Information Systems Engineering and Management, 10(34s), 805–828. https://doi.org/10.52783/jisem.v10i34s.5872
- Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. Handbook of Market Research, 139, 587–632. https://doi.org/10.1007/978-3-319-57413-4_15
- Sarstedt, M., Ringle, C. M., Hair, J. F., Cheah, J.-H., Ting, H., Moisescu, O. I., & Radomir, L. (2022). Advances in Partial Least Squares Structural Equation Modeling. Journal of Business Research, 139, 825–828.
- Sharma, S. K., Mehta, S., U, M. T., Puranik, A. M., Singh, R. K., & sharma, V. (2022). The Impact of AI-Powered Recommendations on Online Purchase Decisions: A Consumer Perspective. Advances in Consumer Research, 2(4), 1542–1552. https://acr-journal.com/article/the-impact-of-ai-powered-recommendations-on-online-purchase-decisions-a-consumer-perspective-1267/
- Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
- Singhal, R. K., Patel, B. A., Singh, M., Khanna, C., Ogunmola, G. A., & Bhosale, Y. H. (2025). Advances in Consumer Research AI-Powered Personalization in E-Commerce : Consumer Perceptions , Trust ,. Advances in Consumer Research, 2(4), 3779–3786.
- Srivastava, R. K., & Gurme, V. (2026). Artificial intelligence and consumer behaviour on social media: A study of personalization, trust, and privacy. Measurement: Digitalization, 5(August 2025), 100021. https://doi.org/10.1016/j.meadig.2025.100021
- Tam NGUYEN, N. H. (2025). Algorithmic Persuasion and Consumer Trust in Vietnam: Mediating Mechanisms and Configurational Pathways of AI-enabled Marketing Communication. International Journal of Economics, Business and Management Research, 09(12), 360–384. https://doi.org/10.51505/ijebmr.2025.91219
- Turki, H. (2025). AI-powered personalization in e-commerce: Governance, consumer behavior, and exploratory insights from big data analytics. Technology in Society, 83(August), 103033. https://doi.org/10.1016/j.techsoc.2025.103033
- Wang, Z., Yuan, R., Luo, J., Liu, M. J., & Yannopoulou, N. (2023). Does personalized advertising have their best interests at heart? A quantitative study of narcissists’ SNS use among Generation Z consumers. Journal of Business Research, 165(June), 114070. https://doi.org/10.1016/j.jbusres.2023.114070
- Xu, Y., & Chen, L. (2025). Personalized recommendations and consumer trust: The role of perceived control and locus of control. Acta Psychologica, 261(May), 105936. https://doi.org/10.1016/j.actpsy.2025.105936
- Zhang, W., & Wang, Y. (2025). The impact of different recommendation algorithms on consumer search behavior and merchants competition. International Review of Economics and Finance, 98(February), 103943. https://doi.org/10.1016/j.iref.2025.103943
References
Aimé, I., Berger-Remy, F., & Laporte, M. E. (2022). The brand, the persona and the algorithm: How datafication is reconfiguring marketing work☆. Journal of Business Research, 145(March), 814–827. https://doi.org/10.1016/j.jbusres.2022.03.047
Alena, Z. (2025). BEHAVIORAL ECONOMICS IN DIGITAL MARKETING: ANALYZING CONSUMER DECISION-MAKING UNDER ALGORITHMIC INFLUENCE Abstract: COLD SCIENCE UDC, 82–90.
Ameen, N., Tarhini, A., Reppel, A., & Anand, A. (2021). Customer experiences in the age of artificial intelligence. Computers in Human Behavior, 114(June 2020), 106548. https://doi.org/10.1016/j.chb.2020.106548
Aoki, T., & Matsui, A. (2025). Does algorithmic recommendation complement or substitute advertising and influencers? Consumer attitudes toward recommendation information and the formation of purchase intentions. Computers in Human Behavior, 172(November 2024), 108735. https://doi.org/10.1016/j.chb.2025.108735
Avşar, B. (2025). Algorithmic Biases and Injustice: Ethical and Practical Dimensions of Artificial Intelligence in Digital Marketing. Consumer, Marketing, AI: Dark Sides and Ethics, 0–2. https://doi.org/10.58830/ozgur.pub710.c3022
Choudhary, M. (2025). The Algorithmic Persuader: Ethical Challenges in AI-Powered Behavioral Manipulation in Digital Marketing. Mrinalini Choudhary, 13–19. https://doi.org/10.5281/zenodo.15474169
Dede Suleman, Wiwin Wianti, Devy Sofyanty, Joko Ariawan, E. D. S. (2025). THE EFFECT OF AI-DRIVEN PERSONALIZED MARKETING ON CONSUMER PURCHASE DECISIONS: EVIDENCE FROM THE FASHION INDUSTRY. Jurnal Ekonomi Bisnis Manajemen Akuntansi (JEBISMA), 2(3).
Dr A. Mallika, & Siyad P K. (2025). The Impact of AI-Driven Personalization on Consumer Purchase Intentions. International Journal of Integrated Research and Practice, 7(6), 101–109. https://doi.org/10.65579/31075037.092
Fan, Y., & Liu, X. (2022). Exploring the role of AI algorithmic agents: The impact of algorithmic decision autonomy on consumer purchase decisions. Frontiers in Psychology, 13(October), 1–17. https://doi.org/10.3389/fpsyg.2022.1009173
Gegen, T., Chai, J., Chen, W., & Wauk, G. (2026). When algorithms meet ethics: Mapping consumer moral responses to AI versus human marketing practices. Journal of Retailing and Consumer Services, 91(January), 104729. https://doi.org/10.1016/j.jretconser.2026.104729
Gombar, M. M. (2025). Algorithmic Personalization in Social Media Marketing: Shaping Public Perception and Driving Consumer Behavior. Glovento Journal of Integrated Studies, 01(01), 23–35. https://doi.org/10.63665/gjis.v1i1.04
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage Publications.
Hastuti, H. (2025). Strategies for Implementing Digital Governance for Smart City Development in Makassar City. Asian Digital Governance Problems, 2(1), 76–86. https://doi.org/10.71435/639136
Huang, M. H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
Lim, S. G. (Edward), & Kim, M. (2025). AI-powered personalized recommendations and pricing: Moderating effects of ethical AI and consumer empowerment. International Journal of Hospitality Management, 130(October 2024), 104259. https://doi.org/10.1016/j.ijhm.2025.104259
Mariyamah, A. (2025). Gen Z’S Information Behavior in the Era of Ai: a Study Applying Wilson’S Theory (Case Study in Java Island). Jurnal Ilmu Perpustakaan Dan Informasi, 10(2), 488–506.
Nath, S. (2025). AI-Driven Personalization: Impact on Consumer Trust and Purchase Behaviour. International Journal of Research Publication and Reviews, 6(1), 5110–5115. www.ijrpr.com
Rasool, M. S., & Sajjad, Dr. N. N. A. (2025). Investigating the Impact of Algorithmic Ad Personalization on Unplanned Buying through Customer Engagement. Journal of Law & Social Studies, 7(4), 274–288. https://doi.org/10.52279/jlss.07.04.274288
Rodgers, W., & Nguyen, T. (2022). Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways. Journal of Business Ethics, 178(4), 1043–1061. https://doi.org/10.1007/s10551-022-05048-7
Sajan Vaidhyanathan. (2025). Algorithmic Digital Transformation in Name-Personalized Retargeting. Journal of Information Systems Engineering and Management, 10(34s), 805–828. https://doi.org/10.52783/jisem.v10i34s.5872
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. Handbook of Market Research, 139, 587–632. https://doi.org/10.1007/978-3-319-57413-4_15
Sarstedt, M., Ringle, C. M., Hair, J. F., Cheah, J.-H., Ting, H., Moisescu, O. I., & Radomir, L. (2022). Advances in Partial Least Squares Structural Equation Modeling. Journal of Business Research, 139, 825–828.
Sharma, S. K., Mehta, S., U, M. T., Puranik, A. M., Singh, R. K., & sharma, V. (2022). The Impact of AI-Powered Recommendations on Online Purchase Decisions: A Consumer Perspective. Advances in Consumer Research, 2(4), 1542–1552. https://acr-journal.com/article/the-impact-of-ai-powered-recommendations-on-online-purchase-decisions-a-consumer-perspective-1267/
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
Singhal, R. K., Patel, B. A., Singh, M., Khanna, C., Ogunmola, G. A., & Bhosale, Y. H. (2025). Advances in Consumer Research AI-Powered Personalization in E-Commerce : Consumer Perceptions , Trust ,. Advances in Consumer Research, 2(4), 3779–3786.
Srivastava, R. K., & Gurme, V. (2026). Artificial intelligence and consumer behaviour on social media: A study of personalization, trust, and privacy. Measurement: Digitalization, 5(August 2025), 100021. https://doi.org/10.1016/j.meadig.2025.100021
Tam NGUYEN, N. H. (2025). Algorithmic Persuasion and Consumer Trust in Vietnam: Mediating Mechanisms and Configurational Pathways of AI-enabled Marketing Communication. International Journal of Economics, Business and Management Research, 09(12), 360–384. https://doi.org/10.51505/ijebmr.2025.91219
Turki, H. (2025). AI-powered personalization in e-commerce: Governance, consumer behavior, and exploratory insights from big data analytics. Technology in Society, 83(August), 103033. https://doi.org/10.1016/j.techsoc.2025.103033
Wang, Z., Yuan, R., Luo, J., Liu, M. J., & Yannopoulou, N. (2023). Does personalized advertising have their best interests at heart? A quantitative study of narcissists’ SNS use among Generation Z consumers. Journal of Business Research, 165(June), 114070. https://doi.org/10.1016/j.jbusres.2023.114070
Xu, Y., & Chen, L. (2025). Personalized recommendations and consumer trust: The role of perceived control and locus of control. Acta Psychologica, 261(May), 105936. https://doi.org/10.1016/j.actpsy.2025.105936
Zhang, W., & Wang, Y. (2025). The impact of different recommendation algorithms on consumer search behavior and merchants competition. International Review of Economics and Finance, 98(February), 103943. https://doi.org/10.1016/j.iref.2025.103943