The Effects of AI-Powered Personalization on Consumer Trust, Satisfaction, and Purchase Intent

The integration of Artificial Intelligence (AI) in e-commerce has dramatically reshaped how businesses interact with consumers. AI-driven personalization is considered among the most powerful strategies for increasing consumer engagement, loyalty, and overall profitability. Practitioners have questioned its impact on consumer trust, satisfaction, and purchase intent due to growing concerns over privacy. This study offers a quantitative analysis involving 473 respondents to explore how AI-powered personalization influences these key consumer outcomes. Employing structural equation modeling, the findings indicate that AI-based personalization significantly improves trust and satisfaction, with satisfaction acting as a significant mediator for purchase intent. Privacy concerns stand out as a critical moderating factor, potentially hindering the positive effects of personalization on trust and subsequent purchase behaviors. We conclude the study with recommendations on ethical data practices, transparent communication, and regulatory frameworks to build and maintain consumer trust in an era of AI personalization.

Authors

Publication Details

Journal
European Journal of Applied Science Engineering and Technology
Published
2025-03-01
DOI
https://doi.org/10.59324/ejaset.2025.3(2).02
Citations
16
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
66.70
Controls
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article

The Effects of AI-Powered Personalization on Consumer Trust, Satisfaction, and Purchase Intent

Dario Sipos
16 citations
European Journal of Applied Science Engineering and Technology
Technology Adoption and User Behaviour
66.70
article

The Effects of AI-Powered Personalization on Consumer Trust, Satisfaction, and Purchase Intent

Dario Sipos
article en
16 citations

Abstract

The integration of Artificial Intelligence (AI) in e-commerce has dramatically reshaped how businesses interact with consumers. AI-driven personalization is considered among the most powerful strategies for increasing consumer engagement, loyalty, and overall profitability. Practitioners have questioned its impact on consumer trust, satisfaction, and purchase intent due to growing concerns over privacy. This study offers a quantitative analysis involving 473 respondents to explore how AI-powered personalization influences these key consumer outcomes. Employing structural equation modeling, the findings indicate that AI-based personalization significantly improves trust and satisfaction, with satisfaction acting as a significant mediator for purchase intent. Privacy concerns stand out as a critical moderating factor, potentially hindering the positive effects of personalization on trust and subsequent purchase behaviors. We conclude the study with recommendations on ethical data practices, transparent communication, and regulatory frameworks to build and maintain consumer trust in an era of AI personalization.

European Journal of Applied Science Engineering and TechnologyVol. 3(2)
Openalex Percentile: Top 0%
Technology Adoption and User Behaviour
66.70
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