Consumer Behavior Models in Online Shopping: A Case Study on E-Commerce Platforms

نماذج سلوك المستهلك في التسوق عبر الإنترنت: دراسة حالة على منصات التجارة الإلكترونية

Abstract

This research explores consumer behavior in e-commerce, analyzing psychological, social, and technological factors influencing online purchasing decisions. By examining platforms like Amazon, Alibaba, and eBay, it identifies key drivers such as trust, convenience, peer reviews, social media recommendations, platform usability, and mobile optimization. The study highlights challenges, including data security and meeting rising customer expectations for faster delivery and better service. It emphasizes the importance of trust-building measures, AI-driven personalization, and mobile platform optimization. Additionally, it identifies opportunities for innovation, such as expanding into emerging markets and utilizing advanced analytics to anticipate consumer needs. The findings offer actionable insights for businesses to enhance user experiences, foster customer loyalty, and adapt to the evolving e-commerce landscape.