Analysis of Factors Influencing Customer Satisfaction in Online Retailing: A Statistical Approach

Thesis Abstract

Abstract
This thesis presents a comprehensive analysis of the factors influencing customer satisfaction in the context of online retailing using a statistical approach. The rapid growth of e-commerce has transformed the way businesses interact with customers, making it crucial to understand the key drivers of customer satisfaction in online retail settings. This study aims to identify and analyze the factors that significantly impact customer satisfaction in online retailing through a statistical lens. The research begins with an in-depth exploration of the theoretical underpinnings and background of customer satisfaction in online retailing. It delves into the challenges and opportunities presented by the digital marketplace and highlights the importance of customer satisfaction as a strategic differentiator for online retailers. The problem statement outlines the gaps in existing literature and the need for a statistical analysis to gain a deeper understanding of customer satisfaction drivers in online retailing. The objectives of the study are to identify the key factors influencing customer satisfaction in online retailing, quantify their impact using statistical methods, and provide actionable insights for online retailers to enhance customer satisfaction and loyalty. The study acknowledges the limitations inherent in statistical analysis and delineates the scope of the research, focusing on a specific segment of online retailing. The significance of the study lies in its potential to inform online retailers about the critical factors that drive customer satisfaction, thereby enabling them to optimize their strategies and improve customer relationships. The structure of the thesis is outlined, providing a roadmap for readers to navigate the research findings and analysis. Additionally, key terms and concepts are defined to ensure clarity and understanding throughout the thesis. The literature review chapter synthesizes existing research on customer satisfaction in online retailing, examining various theoretical frameworks and empirical studies to identify common themes and divergent perspectives. The chapter discusses ten key factors that have been found to influence customer satisfaction in online retailing, laying the foundation for the empirical analysis. The research methodology chapter outlines the research design, sampling procedures, data collection methods, and statistical techniques employed in the study. The chapter details the analytical approach, including regression analysis and hypothesis testing, to identify the significant factors influencing customer satisfaction in online retailing. The discussion of findings chapter presents the results of the statistical analysis, highlighting the key factors that impact customer satisfaction in online retailing. The chapter interprets the findings in the context of existing literature, providing insights into the relative importance of each factor and their implications for online retailers. In conclusion, this thesis summarizes the key findings and implications of the study, emphasizing the importance of customer satisfaction in online retailing and the role of statistical analysis in uncovering actionable insights for businesses. The study underscores the need for continuous monitoring and optimization of customer satisfaction strategies in the dynamic online retail environment to meet evolving customer expectations and foster long-term relationships.