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The Trust Factor: How AI Ethics and Privacy Fatigue Shape Usage Intentions for E-Commerce Users Rifki Hanif; Hasrudy Tanjung; Halim bin Mad Lazim; Hafid Aditya Pradesa; Mime Azrina Jaafar
Image : Jurnal Riset Manajemen Vol. 13 No. 2 (2025): May 2025 - October 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/image.2025.129

Abstract

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.
The Mediating Role of Customer Satisfaction in the Effect of Perceived Enjoyment on Customer Trust in Online Investment Application Rifki Hanif; Widji Astuti; Sunardi Sunardi
Innovation Business Management and Accounting Journal Vol. 3 No. 1 (2024): January - March
Publisher : Trescode Green Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56070/ibmaj.2024.003

Abstract

This study aims to analyze the influence of perceived enjoyment on trust in online mutual fund investors through customer satisfaction with the Bibit mutual fund application. Data were collected through questionnaires distributed to users of the Bibit Mutual Fund application. The research population consisted of all Bibit application users in the area of Malang City, East Java – Indonesia, and a sample of 120 users was selected using purposive sampling. The research instrument employed a questionnaire with 24 statements. Data were analyzed using Structural Equation Modeling - Partial Least Squares (SEM-PLS). The findings reveal a significant influence of perceived enjoyment on customer trust mediated by customer satisfaction with the Bibit mutual fund application. In conclusion, customer satisfaction serves as a mediating variable between perceived enjoyment and user trust in the Bibit Mutual Fund application. This research contributes to understanding the dynamics of user experience and satisfaction in the context of online investment platforms, emphasizing the pivotal role of satisfaction in fostering customer trust.