The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce

The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce

Abstract Purpose This study investigates the effects of trust, satisfaction, and loyalty on AI-driven e-commerce, with a particular focus on how personalized recommendations moderate these relationships. It aims to explore how personalized AI features reshape consumer perceptions and decision-making...

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Bibliographic Details
Main Authors: Noha Hassan, Mohamed Abdelraouf, Dina El-Shihy
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Future Business Journal
Subjects:
AI-driven e-commerce
Artificial intelligence
Chatbot
Customer experience
E-commerce
Loyalty
Online Access:https://doi.org/10.1186/s43093-025-00476-z
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