Odebunmi, Abayomi Tunde
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The Influence of Artificial Intelligence on Customer Retention in the Asian E-Commerce Market Oh, Zi Jian; Odebunmi, Abayomi Tunde; Teoh, Yun Ern; Thoe, Wei Min; Toh, Yu Jing; Toh, Yu Xuan; Ali, Anees Janee; Kee, Daisy Mui Hung
Asia Pacific Journal of Management and Education (APJME) Vol 8, No 1 (2025): March 2025
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/apjme.v8i1.3865

Abstract

Artificial intelligence (AI) has become a key driver in enhancing customer retention in e-commerce. This study examines the influence of AI-driven personalization, efficiency and convenience, and customer trust and loyalty on customer retention in Lazada’s Asian market. A quantitative research approach was employed, with data collected through an online survey of 150 Lazada users using convenience sampling. The survey measured key constructs using a five-point Likert scale, and IBM SPSS Statistics 27 was used for analysis. The regression results indicate that customer trust and loyalty (? = 0.694, p 0.001) have the strongest impact on customer retention, followed by personalization (? = 0.166), while efficiency and convenience (? = 0.062) have a minimal effect. The model explains 82.5% of the variance in customer retention (R² = 0.825), demonstrating strong predictive power. These findings highlight the importance of fostering trust and personalized experiences in AI-driven e-commerce strategies. While efficiency and convenience enhance the shopping experience, they play a lesser role in long-term retention. The study suggests that businesses should prioritize AI-driven trust-building strategies and culturally adapted personalization techniques to strengthen customer loyalty and sustain retention in competitive e-commerce environments.