Thesis Abstract

Abstract
The rapid growth of e-commerce platforms has transformed the way businesses interact with customers, making customer satisfaction a critical factor in determining the success of online retailers. This thesis investigates the factors influencing customer satisfaction in e-commerce platforms using statistical models. The study aims to provide valuable insights for e-commerce businesses to enhance customer satisfaction and improve overall performance. The research begins with an exploration of the background of the study, highlighting the increasing importance of customer satisfaction in e-commerce and the challenges faced by online retailers in meeting customer expectations. The problem statement identifies the gaps in existing literature and the need for a comprehensive analysis of factors influencing customer satisfaction in e-commerce platforms. The objectives of the study include examining the key determinants of customer satisfaction, analyzing the impact of various factors on customer loyalty and retention, and developing statistical models to predict and improve customer satisfaction in e-commerce. The study also discusses the limitations and scope of the research, acknowledging potential constraints and focusing on specific aspects of e-commerce customer satisfaction. A detailed literature review in Chapter Two provides a comprehensive analysis of existing research on customer satisfaction in e-commerce platforms. The review covers various theoretical frameworks and empirical studies related to customer satisfaction, highlighting key factors such as website design, product quality, customer service, and pricing strategies that influence customer satisfaction in online shopping environments. Chapter Three outlines the research methodology, including the research design, data collection methods, sampling techniques, and statistical analysis procedures. The chapter discusses the selection of variables, data sources, and statistical models used to analyze the factors influencing customer satisfaction in e-commerce platforms. Chapter Four presents the findings of the study, including the results of statistical analyses and the identification of key factors influencing customer satisfaction in e-commerce platforms. The chapter discusses the implications of the findings for e-commerce businesses and provides recommendations for improving customer satisfaction and loyalty. Finally, Chapter Five summarizes the research findings, discusses the implications for theory and practice, and offers recommendations for future research in the field of e-commerce customer satisfaction. The study concludes with a reflection on the significance of the research and its contribution to the understanding of factors influencing customer satisfaction in e-commerce platforms. Overall, this thesis contributes to the growing body of knowledge on e-commerce customer satisfaction and provides valuable insights for businesses seeking to enhance customer experiences and drive success in the competitive online marketplace.

Thesis Overview

The project titled "Analysis of Factors Influencing Customer Satisfaction in E-commerce Platforms Using Statistical Models" aims to investigate and understand the various factors that influence customer satisfaction in the context of e-commerce platforms. E-commerce has become a vital component of modern business operations, with an increasing number of consumers turning to online platforms for their shopping needs. Customer satisfaction plays a crucial role in the success of e-commerce businesses, as satisfied customers are more likely to make repeat purchases and recommend the platform to others. The research will utilize statistical models to analyze and identify the key factors that contribute to customer satisfaction in e-commerce platforms. By leveraging statistical techniques, the study aims to provide valuable insights into the factors that influence customer satisfaction, thereby enabling e-commerce businesses to enhance their services and improve overall customer experience. The project will begin by providing an introduction to the topic, highlighting the significance of customer satisfaction in e-commerce and outlining the objectives of the study. It will also present the background of the research, including a review of relevant literature on customer satisfaction in e-commerce platforms. The methodology chapter will detail the research design, data collection methods, and statistical techniques that will be employed to analyze the data. The study will collect data from customers of various e-commerce platforms through surveys or online feedback to gather insights into their satisfaction levels and factors influencing their satisfaction. The findings chapter will present the results of the statistical analysis, highlighting the key factors that impact customer satisfaction in e-commerce platforms. The discussion will delve into the implications of these findings for e-commerce businesses and provide recommendations for improving customer satisfaction. Finally, the conclusion and summary chapter will summarize the key findings of the study, discuss its implications for theory and practice, and suggest areas for future research. Overall, the project aims to contribute to the existing literature on customer satisfaction in e-commerce platforms and provide practical insights for businesses looking to enhance customer experience and drive growth in the online retail sector.