The Impact of E-commerce Platforms on Consumer Behavior: A Case Study of Uzum Market

Abstract

This article examines the impact of e-commerce platforms on consumer behavior through a case study of Uzum Market, one of the most visible digital commerce ecosystems in Uzbekistan. The study is designed as a professional academic article using a quantitative case-study structure and an illustrative survey dataset. Because no original field survey data were supplied by the author, the numerical results in this paper are presented as an academic simulation to demonstrate how the topic can be analyzed in a student research article. The discussion focuses on how platform convenience, promotional tools, trust, delivery performance, payment flexibility, and interface quality shape online purchase decisions, customer satisfaction, and repurchase intention. The article uses the Technology Acceptance Model, e-commerce trust theory, and consumer behavior theory as the main theoretical foundations. Findings from the illustrative data suggest that convenience, trust, and interface quality are the strongest predictors of satisfaction, while satisfaction strongly supports repurchase intention. The study also explains the practical implications for platform managers, sellers, policymakers, and researchers interested in digital commerce development in Uzbekistan.