Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering new ways to enhance project efficiency, collaboration, and accuracy. This thesis investigates the implementation of BIM in Quantity Surveying practices to explore its impact on traditional cost estimation, quantity takeoff, and project management processes. The research aims to provide insights into the challenges, benefits, and best practices associated with integrating BIM into Quantity Surveying workflows. Chapter 1 outlines the introduction, background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. The introduction sets the context for the research, highlighting the growing importance of BIM in the construction sector and the need to adapt Quantity Surveying practices to leverage its capabilities effectively. Chapter 2 presents a comprehensive literature review that examines existing studies, frameworks, and case studies related to the integration of BIM in Quantity Surveying. The review covers topics such as BIM technology, Quantity Surveying processes, benefits of BIM adoption, challenges faced by practitioners, and successful implementation strategies. Chapter 3 details the research methodology employed in this study, including research design, data collection methods, sample selection, data analysis techniques, and ethical considerations. The chapter aims to provide a clear understanding of how the research was conducted and the rationale behind the chosen approach. Chapter 4 presents the findings of the study, showcasing the impact of BIM implementation on Quantity Surveying practices. The discussion covers key themes such as improved cost estimation accuracy, streamlined quantity takeoff processes, enhanced collaboration among project stakeholders, and challenges encountered during BIM adoption. Chapter 5 concludes the thesis by summarizing the key findings, discussing their implications for the Quantity Surveying profession, and offering recommendations for future research and practice. The conclusion highlights the potential of BIM to revolutionize traditional Quantity Surveying practices and emphasizes the importance of continuous learning and adaptation in an evolving industry landscape. Overall, this thesis contributes to the growing body of knowledge on the integration of BIM in Quantity Surveying practices, shedding light on the opportunities and challenges associated with this technological advancement. By understanding the implications of BIM adoption, Quantity Surveyors can better leverage its capabilities to improve project outcomes and drive innovation in the construction industry.

Thesis Overview