The Effects of Trust, Privacy, and Personalized Experience on Customer Satisfaction and Repurchase Intention in IOT-Supported Home Technologies
Abstract
This study examines the effects of consumer trust, privacy perception, and personalized experience on customer satisfaction and repurchase intention in IoT-enabled home technology devices. This research aims to understand how these factors influence consumer behaviour in the context of smart technologies. The significance of this study lies in its comprehensive model, which sheds light on key digital age issues such as personalization, data privacy, and trust. The PLS-SEM method was used with Smart PLS 4.0 software. Contrary to previous findings in the literature, perceived ease of use (PEOU) was found to have no significant effect on customer satisfaction. Similarly, data privacy awareness and consumer trust did not significantly affect satisfaction. However, data privacy concerns positively and significantly impacted customer satisfaction, while consumer trust significantly influenced repurchase intention. Personalized experiences positively and significantly affected both customer satisfaction and repurchase intention, and customer satisfaction significantly influenced repurchase intention. These findings contribute to the literature by providing insights into how IoT technologies can be aligned with consumer expectations and how they influence long-term loyalty and purchasing behaviour.
Keywords
References
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Details
Primary Language
English
Subjects
Business Administration
Journal Section
Research Article
Authors
Fatih Bilici
*
0000-0003-4803-0463
Türkiye
Publication Date
June 25, 2026
Submission Date
December 23, 2024
Acceptance Date
March 18, 2026
Published in Issue
Year 2026 Volume: 11 Number: 1