The Trust Factor: How AI Ethics and Privacy Fatigue Shape Usage Intentions for E-Commerce Users
DOI:
https://doi.org/10.17509/image.2025.129Keywords:
AI Ethics, Privacy Fatigue, Consumer Trust, Usage Intention, E-CommerceAbstract
This study investigates the complex relationships between AI Ethics, Privacy Fatigue, Consumer Trust, and Usage Intention within the e-commerce sector in Malang City, Indonesia. As artifical intelligence integration rapidly grows, consumer concerns regarding algorithmic fairness and data exhaustion have become critical determinants of digital behavior and engagement. This research contributes to digital marketing theory by uniquely identifying privacy fatique as an independent psychological barrier that operates outside the traditional trust-adoption paradigm. Using a non-experimental cross-sectional survey design, data were collected from 210 e-commerce users. The conceptual model was evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results indicate that AI Ethics significantly and positively influences Consumer Trust, which acts as a pivotal mediator for Usage Intention. Conversely, Privacy Fatigue has a negligible effect on trust but exerts a potent direct negative impact on usage intention, acting as a significant psychological deterrent. These findings support a dual-pathway model where ethical integrity builds necessary trust, while privacy exhaustion triggers user resignation. Practically, e-commerce providers must prioritize transparency and simplify data management interfaces to mitigate fatigue.
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References
Adanyin, A. (2024). Ethical AI in Retail : Consumer Privacy and Fairness. European Journal of Computer Science and Information Technology, 12(7), 21–35.
Aji, H. M., Husin, M. M., Othman, A. K., Hidayat, A., & Rashid, W. E. W. (2024). Religious-based ethics and buy-now-pay-later re-usage intention among Muslim consumers in Indonesia and Malaysia : a commitment-trust theory perspective. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2363441
Akbar, M. U., Ibrahim, I., Nabil, S. J., Iqbal, K. A., & Islam, A. (2021). The Influence of Artificial Intelligence on Consumer Trust in E-Commerce : Opportunities and Ethical Challenges. European Journal of Theoretical and Applied Sciences, 2(6), 250–259. https://doi.org/10.59324/ejtas.2024.2(6).20
Aldboush, H. H. H., & Ferdous, M. (2023). Building Trust in Fintech : An Analysis of Ethical and Privacy Considerations in the Intersection of Big Data, AI, and Customer Trust. International Journal of Financial Studies, 11(90), 1–18.
Amanda, T. A., & Marsasi, E. G. (2023). Exploration of Perceived Behavioral Control and Intention to Purchase to Increase Actual Behavior. Image : Jurnal Riset Manajemen, 12(1), 14–30.
Arango, L., Singaraju, S. P., & Niininen, O. (2023). Consumer Responses to AI-Generated Charitable Giving Ads. Journal of Advertising, 52(4), 486–503. https://doi.org/10.1080/00913367.2023.2183285
Basha, M., & Rodríguez-Pérez, G. (2025). Trust, transparency, and adoption in generative AI for software engineering: Insights from Twitter discourse. Information and Software Technology, 186, 107804. https://doi.org/10.1016/J.INFSOF.2025.107804
Chaitanya, K., Jawad, A. B., Mehta, V., & Hajoary, D. (2023). Ethical Considerations in AI-Based Marketing : Balancing Profit and Consumer. Tuijin Jishu/Journal of Propulsion Technology, 44(3), 1301–1309.
Chen, M., & Chen, M. (2025). Trust , Privacy Fatigue , and the Informed Consent Dilemma in Mobile App Privacy Pop-Ups : A Grounded Theory Approach. Journal of Theoretical and Applied Electronic Commerce Research, 4(11).
Cheng, X., Zeng, A., Yang, B., Liu, Y., & Zhang, X. (2025). Online reviews generated by generative artificial intelligence versus human: A study of perceived differences and user adoption behavior. Electronic Commerce Research and Applications, 71, 101497. https://doi.org/10.1016/J.ELERAP.2025.101497
Choi, H., Park, J., & Jung, Y. (2017). The role of privacy fatigue in online privacy behavior. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.12.001
Chung, J., & Kwon, H. Y. (2025). Privacy fatigue and its effects on ChatGPT acceptance among undergraduate students: is privacy dead? Education and Information Technologies, 30(9), 12321–12343. https://doi.org/10.1007/s10639-024-13198-6
Creswell, J. W., & Creswell, J. D. (2023). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (Sixth). Sage Publications.
Gaczek, P., Leszczyński, G., Wei, Y., & Sun, H. (2026). The Bright Side of AI in Marketing Decisions : Collaboration with Algorithms Prevents Managers from Violating Ethical Norms. Journal of Business Ethics, 204(4), 771–794. https://doi.org/10.1007/s10551-025-06083-w
Gallese, C. (2026). Predictive policing and predictive justice : Ethics , data protection , and the AI. Computer Law & Security Review: The International Journal of Technology Law and Practice, 61(March), 106282. https://doi.org/10.1016/j.clsr.2026.106282
Gallin, S., & Portes, A. (2024). Online shopping: How can algorithm performance expectancy enhance impulse buying? Journal of Retailing and Consumer Services, 81, 103988. https://doi.org/10.1016/J.JRETCONSER.2024.103988
Giang, N. T. P., Tan, T. D., & Nhung, L. T. H. (2025). Determinants of E-commerce adoption and its effect on marketing performance among Vietnamese SMEs: An PLS-SEM approach using the TOE framework. Journal of Open Innovation: Technology, Market, and Complexity, 11(4), 100670. https://doi.org/https://doi.org/10.1016/j.joitmc.2025.100670
Giarmoleo, F. V., Ferrero, I., Rocchi, M., & Pellegrini, M. M. (2024). What ethics can say on artificial intelligence : Insights from a systematic literature review. Business and Society Reviewppp, 129, 258–292. https://doi.org/10.1111/basr.12336
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th Editio). Cengage Learning.
Hanif, R., Astuti, W., & Sunardi, S. (2024). The Mediating Role of Customer Satisfaction in the Effect of Perceived Enjoyment on Customer Trust in Online Investment Application. Innovation Business Management and Accounting Journal, 3(1), 18–29. https://doi.org/10.56070/ibmaj.2024.003
Hari, H., Sharma, A., Verma, S., & Chaturvedi, R. (2025). Exploring ethical frontiers of artificial intelligence in marketing. Journal of Responsible Technology, 21. https://doi.org/10.1016/j.jrt.2024.100103
Hidayati, N., Hanif, R., Pradesa, H. A., & Agustina, I. (2025). Increasing Customer Trust in Islamic Bank : Role of Service Quality and Satisfaction. Journal of Business and Economics Research (JBE), 6(2), 621–630. https://doi.org/10.47065/jbe.v6i2.7291
Jain, R., Gupta, M., Gupta, P., Pandey, N., Sharma, N., Raina, S., & 1Assistant. (2025). Consumer Trust In AI-Enabled Marketing : A Behavioural Analysis. International Journal of Environmental Sciences, 11(17), 840–852.
Jin, K. (2023). Research on the Impact of Privacy Information Sensitivity on Consumers’ Purchase Intention in E-commerce Livestreaming. In Business, Economics and Management EDMI (Vol. 2023).
Jyothsna, J. M., Subbaiah, V. P., & Kryvinska, N. (2024). Exploring the Chatbot usage intention-A mediating role of Chatbot initial trust. Heliyon, 10(12), e33028. https://doi.org/https://doi.org/10.1016/j.heliyon.2024.e33028
Kleizen, B., Van Dooren, W., Verhoest, K., & Tan, E. (2023). Do citizens trust trustworthy artificial intelligence? Experimental evidence on the limits of ethical AI measures in government. Government Information Quarterly, 40(4), 101834. https://doi.org/10.1016/J.GIQ.2023.101834
Koo, I., Zaman, U., Ha, H., & Nawaz, S. (2025). Assessing the interplay of trust dynamics, personalization, ethical AI practices, and tourist behavior in the adoption of AI-driven smart tourism technologies. Journal of Open Innovation: Technology, Market, and Complexity, 11(1), 100455. https://doi.org/10.1016/J.JOITMC.2024.100455
Lin, Y.-C., & Liu, Y. (2025). Beyond the courtroom: Exploring consumers’ trust and usage of ADR in financial dispute resolution. Finance Research Letters, 85, 107872. https://doi.org/https://doi.org/10.1016/j.frl.2025.107872
Matar, A., & Aloqaily, A. N. (2025). The mediating influence of perceived usefulness on consumer behaviour towards driving e-wallet adoption in Jordan. Journal of Open Innovation: Technology, Market, and Complexity, 11(4), 100651. https://doi.org/https://doi.org/10.1016/j.joitmc.2025.100651
Mulyana, H., Hurriyati, R., Kurniawan, A., & Widjajanta, B. (2022). Pengaruh Celebrity Endorsement Terhadap Purchase Intention Dengan Mediasi Brand Image dan Moderasi Negative Publicity. Image : Jurnal Riset Manajemen, 11(1), 69–82.
Mustofa, R. H., Kuncoro, T. G., Atmono, D., Hermawan, H. D., & Sukirman. (2025). Extending the technology acceptance model: The role of subjective norms, ethics, and trust in AI tool adoption among students. Computers and Education: Artificial Intelligence, 8, 100379. https://doi.org/10.1016/J.CAEAI.2025.100379
Niu, B., & Mvondo, G. F. N. (2024). I Am ChatGPT , the ultimate AI Chatbot ! Investigating the determinants of users ’ loyalty and ethical usage concerns of ChatGPT. Journal of Retailing and Consumer Services, 76(September 2023), 103562. https://doi.org/10.1016/j.jretconser.2023.103562
Oktaviany, V. V., & Padmantyo, S. (2025). Pengaruh Ekuitas , Citra Merek dan Kepercayaan Terhadap Minat Beli Dengan Kepuasan Pelanggan Sebagai Variabel Mediasi. JAFM: Journal of Accounting and Finance Management, 6(1), 325–338.
Oluwafemi, I. O., Clement, T., Adanigbo, O. S., Gbenle, T. P., & Adekunle, B. I. (2021). A Review of Ethical Considerations in AI-Driven Marketing Analytics : Privacy , Transparency , and Consumer Trust. International Journal of Multidisciplinary Research and Growth Evaluation, 2(2), 428–435.
Prabawati, R. R. S. M., & Fadhilla, H. N. (2021). E-WoM Information Influences ESQA Cosmetics Consumer Purchase Intention on TikTok Application. Image : Jurnal Riset Manajemen, 12(2), 258–269.
Prasetyani, A., Mustika, M. D., Sjabadhyni, B., Adira, N., Dali, N. R. S. B. M., & Nandan, M. (2024). Unlocking paylater preferences: exploring gen z’s trust dynamics in Indonesia and Malaysia. Cogent Psychology, 11(1). https://doi.org/10.1080/23311908.2024.2352962
Punyatoya, P. (2019). Effects of cognitive and affective trust on online customer behavior. Marketing Intelligence and Planning, 37(1), 80–96. https://doi.org/10.1108/MIP-02-2018-0058
Rana, M. M., Siddiqee, M. S., Sakib, M. N., & Ahamed, M. R. (2024). Assessing AI adoption in developing country academia: A trust and privacy-augmented UTAUT framework. Heliyon, 10(18), e37569–e37569. https://doi.org/10.1016/J.HELIYON.2024.E37569
Ryan, K., Hogg, J., Kasun, M., & Kim, J. P. (2025). Users’ Perceptions and Trust in AI in Direct-to-Consumer mHealth: Qualitative Interview Study. JMIR MHealth and UHealth, 13. https://doi.org/10.2196/64715
Shamim, K., & Misra, S. C. (2025). Leveraging AI to drive online impulse buying: a SOBC perspective. International Journal of Retail & Distribution Management, 53(10–11), 1040–1056. https://doi.org/10.1108/IJRDM-07-2024-0334
Shepperd, J. A., McBride, C. M., An, W., Zhao, J., Pentz, R. D., Escoffery, C., Ward, K., & Guan, Y. (2025). Trust and Privacy Concerns Among Cancer Survivors Who Did Not Visit a Research Website Offering Free Genetic Counseling Services for Families: Survey Study. Journal of Medical Internet Research, 27. https://doi.org/https://doi.org/10.2196/64228
Sipos, D. (2025). The Effects of AI-Powered Personalization on Consumer Trust , Satisfaction , and Purchase Intent. European Journal of Applied Science, Engineering and Technology, 3(2), 14–24. https://doi.org/10.59324/ejaset.2025.3(2).02
Stahl, B. C., & Eke, D. (2024). The ethics of ChatGPT – Exploring the ethical issues of an emerging technology. International Journal of Information Management, 74, 102700. https://doi.org/10.1016/J.IJINFOMGT.2023.102700
Tasnim, K., Abdullah, M. S., Karim, Z., & Hasan, R. (2025). AI-Driven Innovation , Privacy Issues , and Gaining Consumer Trust : The Future of Digital Marketing. Business & Social Sciences, 3(1), 1–7.
Tian, X., Chen, L., & Zhang, X. (2022). The Role of Privacy Fatigue in Privacy Paradox: A PSM and Heterogeneity Analysis. Applied Sciences (Switzerland), 12(19). https://doi.org/10.3390/app12199702
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, Apil-June, 1–15. https://doi.org/10.1177/21582440221091262
Yu, T., Tian, Y., Chen, Y., Huang, Y., Pan, Y., & Jang, W. (2025). How Do Ethical Factors Affect User Trust and Adoption Intentions of AI-Generated Content Tools ? Evidence from a Risk-Trust Perspective. Systems, 13(461), 1–32.
Zaki, M., Gustafsson, A., Mccoll-kennedy, J., & Witell, L. (2026). What can service research contribute to better understand B2B : Editorial for the special issue “ Service Research in Business-to-Business Marketing .” Journal of Business Research, 207(January), 116015. https://doi.org/10.1016/j.jbusres.2026.116015
Zhao, Y. (2025). An Examination of Ethical Challenges in the Application of AI in Marketing. International Journal of Business and Management, 20(4), 113–121. https://doi.org/10.5539/ijbm.v20n4p113
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Copyright (c) 2025 Rifki Hanif, Hasrudy Tanjung, Halim bin Mad Lazim, Hafid Aditya Pradesa, Mime Azrina Jaafar (Author)
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