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All Journal Entrepreneurship and Innovation Review
Almas, Ruzam
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Privacy and Trust in AI Personalization Strategy: A Systematic Literature Review Almas, Ruzam; Dirgantara, I Made Bayu
Entrepreneurship and Innovation Review Vol. 3 No. 1 (2025): June Edition
Publisher : Integra Academic Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63208/210113-538

Abstract

This Systematic Literature Review (SLR) investigates managerial strategies to address the paradox between AI personalization, consumer privacy, and algorithmic trust. This study directly follows up on the research agenda identified by (Athaide et al., 2024) focusing exclusively on the synthesis of solutions. Using a rigorous PRISMA protocol, 57 core journal articles were selected from Scopus and IEEE Xplore, with 84.2% published between 2024-2026. Analysis found that the solution landscape is fragmented, but the most coherent strategies focus on “Governance & Regulation” and “Transparency & Control.” The main contribution of this SLR is the Strategic Prioritization Framework, supported by the empirical finding that user control/agency can be a stronger driver of adoption than trust itself. We conclude that ethical personalization strategies must prioritize user control and XAI as foundations for building trust.
Co-Authors I Made Bayu Dirgantara