Thesis Abstract

Abstract
The construction industry has evolved significantly over the years, with advancements in technology playing a crucial role in enhancing project delivery and management processes. Building Information Modeling (BIM) has emerged as a powerful tool that revolutionizes the way construction projects are planned, designed, and executed. This thesis explores the utilization of BIM in Quantity Surveying to improve cost estimation and project management practices within the construction industry. Chapter 1 provides an introduction to the research topic, highlighting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter 2 presents a comprehensive literature review covering ten key areas related to BIM, Quantity Surveying, cost estimation, and project management. Chapter 3 outlines the research methodology, including research design, data collection methods, sampling techniques, data analysis, and ethical considerations. The findings of the study are discussed in Chapter 4, where the benefits and challenges of utilizing BIM in Quantity Surveying for cost estimation and project management are analyzed in depth. The discussion also includes practical implications and recommendations for industry practitioners and stakeholders. Lastly, Chapter 5 presents the conclusion and summary of the thesis, highlighting the key findings, implications for practice, limitations of the study, and suggestions for future research. Overall, this thesis contributes to the existing body of knowledge by demonstrating the potential of BIM in transforming traditional Quantity Surveying practices for improved cost estimation accuracy and enhanced project management efficiency. The research findings underscore the importance of embracing technology-driven solutions in the construction industry to achieve better project outcomes and drive innovation in the built environment sector.

Thesis Overview