Thesis Abstract

Abstract
This thesis focuses on the analysis of factors influencing customer satisfaction in e-commerce platforms using a statistical approach. The rapid growth of e-commerce has revolutionized the way businesses operate and interact with customers. Ensuring customer satisfaction is fundamental for the success of any e-commerce platform. This study aims to identify and analyze the key factors that impact customer satisfaction in the e-commerce sector through a statistical lens. The research methodology involves a combination of quantitative data analysis and statistical techniques to examine the relationship between various factors and customer satisfaction levels. A comprehensive literature review provides a theoretical framework for understanding the key concepts and variables related to customer satisfaction in e-commerce platforms. The study also investigates the impact of factors such as website design, product quality, pricing, customer service, and delivery efficiency on customer satisfaction. Data will be collected through surveys and questionnaires distributed to a sample of e-commerce platform users. Statistical analysis techniques, including regression analysis, correlation analysis, and hypothesis testing, will be employed to analyze the data and draw meaningful conclusions. The findings of this study are expected to provide valuable insights for e-commerce businesses to enhance customer satisfaction and improve overall performance. The significance of this research lies in its potential to contribute to the existing body of knowledge on customer satisfaction in e-commerce platforms. By identifying and understanding the key factors influencing customer satisfaction, businesses can tailor their strategies and operations to meet the evolving needs and preferences of online customers. This study also aims to fill a gap in the literature by providing a statistical perspective on customer satisfaction in the e-commerce sector. In conclusion, this thesis aims to shed light on the complex relationship between various factors and customer satisfaction in e-commerce platforms. By applying statistical methods and analyzing empirical data, this study seeks to offer practical recommendations for e-commerce businesses to optimize customer satisfaction levels and drive long-term success in the digital marketplace.

Thesis Overview