Thesis Abstract

Abstract
The real estate industry plays a significant role in the global economy, with property valuation being a crucial aspect of real estate management. Traditional property valuation methods are often time-consuming and lack precision due to the manual nature of data collection and analysis. Geographic Information Systems (GIS) technology offers a promising solution to enhance efficiency and accuracy in property valuation processes. This thesis explores the utilization of GIS for efficient property valuation in real estate management. Chapter One provides an introduction to the research, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two presents a comprehensive literature review covering ten key aspects related to GIS technology, property valuation methods, real estate management, and the integration of GIS in property valuation processes. In Chapter Three, the research methodology is detailed, outlining the research design, data collection methods, GIS tools and techniques, sample population, data analysis procedures, and ethical considerations. The chapter also discusses the challenges encountered during the research process and the strategies employed to address them. Chapter Four presents the findings of the study, analyzing the impact of GIS technology on property valuation efficiency and accuracy. The discussion delves into the benefits of using GIS in real estate management, such as improved spatial analysis, data visualization, and decision-making support. The chapter also highlights the limitations of GIS in property valuation and suggests areas for further research and development. Chapter Five concludes the thesis by summarizing the key findings, implications, and recommendations for future research and industry practice. The study underscores the significance of integrating GIS technology into property valuation processes to enhance efficiency, accuracy, and decision-making in real estate management. Overall, this research contributes to the growing body of knowledge on the application of GIS in real estate and provides valuable insights for practitioners, policymakers, and researchers in the field.

Thesis Overview