Main Article Content
Abstract
Purpose: This study examines the effects of artificial intelligence-based advertising, ad personalization, and digital shopping experience on consumer trust, with privacy concerns as a mediating variable in purchases of MSME products on TikTok Shop.
Research Design and Methodology: A quantitative associative-causal design with a cross-sectional survey was employed. Data were collected from 260 consumers who had purchased MSME products on TikTok Shop and had been exposed to personalized advertisements. Purposive sampling was applied, and the data were analyzed using PLS-SEM with SmartPLS 4.
Findings and Discussion: AI-based advertising and ad personalization positively and significantly influence privacy concerns, while digital shopping experience negatively affects privacy concerns and positively affects consumer trust. Privacy concerns significantly reduce consumer trust, whereas AI-based advertising has no significant direct effect on trust. These findings support Privacy Calculus Theory, indicating that consumers balance personalization benefits against perceived data risks.
Implications: MSMEs and TikTok Shop administrators should combine personalization with transparent data practices, stronger privacy protection, transaction security, and improved digital shopping experiences. Future studies should examine other platforms, consumer segments, and longitudinal settings.
Keywords
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This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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References
Adiyanto, Y. (2025). Navigating consumer trust in the era of AI-driven digital advertising. Global Management: International Journal of Management Science and Entrepreneurship, 2(2), 55–64. https://doi.org/10.70062/globalmanagement.v2i2.204
Agag, G., & Eid, R. (2019). Examining the antecedents and consequences of trust in the context of peer-to-peer accommodation. International Journal of Hospitality Management, 81, 180–192. https://doi.org/10.1016/j.ijhm.2019.03.004
Aguirre, E., Mahr, D., Grewal, D., de Ruyter, K., & Wetzels, M. (2015). Unraveling the personalization paradox: The effect of information collection and trust-building strategies on online advertisement effectiveness. Journal of Retailing, 91(1), 34–49. https://doi.org/10.1016/j.jretai.2014.09.005
Alsiehemy, A. (2025). Beyond the algorithm: How artificial intelligence-driven consumer insights shape young consumers' purchasing behavior in the age of privacy paradox. International Journal of Innovative Research and Scientific Studies, 8(7), 449–459.
Awad, N. F., & Krishnan, M. S. (2006). The personalization privacy paradox: An empirical evaluation of information transparency and the willingness to be profiled online for personalization. MIS Quarterly, 30(1), 13–28. https://doi.org/10.2307/25148715
Bleier, A., & Eisenbeiss, M. (2015). The importance of trust for personalized online advertising. Journal of Retailing, 91(3), 390–409. https://doi.org/10.1016/j.jretai.2015.04.001
Canhoto, A. I., Keegan, B. J., & Ryzhikh, M. (2023). Snakes and ladders: Unpacking the personalization-privacy paradox in the context of AI-enabled personalization in the physical retail environment. Information Systems Frontiers. https://doi.org/10.1007/s10796-023-10369-7
Chatterjee, S., Rana, N. P., Tamilmani, K., & Sharma, A. (2020). The adoption of artificial intelligence in customer relationship management: A literature review and future research agenda. International Journal of Information Management, 54, 102199. https://doi.org/10.1016/j.ijinfomgt.2020.102199
Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organization Science, 10(1), 104–115. https://doi.org/10.1287/orsc.10.1.104
Dinev, T., & Hart, P. (2006). An extended privacy calculus model for e-commerce transactions. Information Systems Research, 17(1), 61–80. https://doi.org/10.1287/isre.1060.0080
Hasan, M., & Sohail, M. S. (2020). The influence of social media marketing on consumers' purchase decision: Investigating the effects of local and nonlocal brands. Journal of International Consumer Marketing, 33(4), 437–454. https://doi.org/10.1080/08961530.2020.1795043
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
Khoa, B. T. (2025). The triple helix of digital engagement: Unifying technology acceptance, trust signaling, and social contagion in Generation Z's social commerce repurchase decisions. Journal of Theoretical and Applied Electronic Commerce Research, 20(2), 145. https://doi.org/10.3390/jtaer20020145
Khoa, B. T., & Thanh, L. T. T. (2025). Consumer privacy concerns and information sharing intention in omnichannel retailing: Mediating role of online trust. Pakistan Journal of Commerce and Social Sciences, 19(1), 55–76.
Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers' trust and trust performance. International Journal of Information Management, 33(2), 318–332. https://doi.org/10.1016/j.ijinfomgt.2012.11.006
Lăzăroiu, G., Negurița, O., Grecu, I., Grecu, G., & Mitran, P. C. (2020). Consumers' decision-making process on social commerce platforms: Online trust, perceived risk, and purchase intentions. Frontiers in Psychology, 11, 890. https://doi.org/10.3389/fpsyg.2020.00890
Liu, C., Marchewka, J. T., Lu, J., & Yu, C. S. (2005). Beyond concern—A privacy-trust-behavioral intention model of electronic commerce. Information & Management, 42(2), 289–304. https://doi.org/10.1016/j.im.2004.01.003
Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. https://doi.org/10.5465/amr.1995.9508080335
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134. https://doi.org/10.1080/10864415.2003.11044275
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), 2292759. https://doi.org/10.1080/23311886.2023.2292759
Rana, N. K., Singh, H., & Dwivedi, A. K. (2023). Impact of personalization and privacy on AI-based marketing adoption: Mediating role of perceived trust. Journal of Retailing and Consumer Services, 75, 103563. https://doi.org/10.1016/j.jretconser.2023.103563
Riaz, M. U., Guang, L. X., Zafar, M., Shahzad, F., Shahbaz, M., & Lateef, M. (2021). Consumers' purchase intention and decision-making process through social networking sites: A social commerce construct. Behaviour & Information Technology, 40(1), 99–115. https://doi.org/10.1080/0144929X.2020.1846790
Santosa, A. D., & Surgawati, I. (2024). Artificial intelligence (AI) adoption as marketing tools among micro, small, and medium enterprises (MSMEs) in Indonesia. Jurnal Sosial Humaniora, 17(1), 91–102. https://doi.org/10.12962/j24433527.v17i1.20520
Wang, J., Shahzad, F., Ahmad, Z., Abdullah, M., & Hassan, N. M. (2022). Trust and consumers' purchase intention in a social commerce platform: A meta-analytic approach. SAGE Open, 12(2). https://doi.org/10.1177/21582440221091262
Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543–556. https://doi.org/10.1016/j.jbusres.2018.08.032
Xu, H., Luo, X. R., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision-making process for location-aware marketing. Decision Support Systems, 51(1), 42–52. https://doi.org/10.1016/j.dss.2010.11.017