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Implementation of Building Information Modelling (BIM) in Quantity Surveying Practices

 

Table Of Contents


Chapter ONE

: Introduction 1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objectives of Study
1.5 Limitations of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter TWO

: Literature Review 2.1 Overview of Quantity Surveying Practices
2.2 Introduction to Building Information Modelling (BIM)
2.3 Benefits of Implementing BIM in Quantity Surveying
2.4 Challenges of Implementing BIM in Quantity Surveying
2.5 Previous Studies on BIM in Quantity Surveying
2.6 Technology Adoption in Construction Industry
2.7 Cost Estimation Methods in Quantity Surveying
2.8 Software Tools for Quantity Surveying
2.9 BIM Standards and Guidelines
2.10 Future Trends in Quantity Surveying Practices

Chapter THREE

: Research Methodology 3.1 Research Design
3.2 Sampling Design
3.3 Data Collection Methods
3.4 Data Analysis Techniques
3.5 Questionnaire Development and Implementation
3.6 Case Studies Selection
3.7 Ethical Considerations
3.8 Validation of Data Collection Methods

Chapter FOUR

: Discussion of Findings 4.1 Overview of Research Findings
4.2 Comparison of BIM Implementation in Quantity Surveying Practices
4.3 Analysis of Challenges Faced in BIM Adoption
4.4 Interpretation of Survey Results
4.5 Case Studies Analysis
4.6 Recommendations for Improvement
4.7 Implications for Quantity Surveying Practices
4.8 Future Research Directions

Chapter FIVE

: Conclusion and Summary 5.1 Summary of Key Findings
5.2 Conclusion
5.3 Contributions to the Field
5.4 Recommendations for Practitioners
5.5 Limitations of the Study
5.6 Suggestions for Future Research
5.7 Final Remarks

Thesis Abstract

Abstract
Building Information Modelling (BIM) has emerged as a transformative technology in the construction industry, revolutionizing traditional practices and processes. This thesis explores the implementation of BIM in Quantity Surveying practices, aiming to evaluate its impacts, benefits, challenges, and future prospects. The research is motivated by the increasing adoption of BIM across the construction sector and the potential it holds for enhancing efficiency, collaboration, and decision-making in Quantity Surveying. The study begins with a comprehensive literature review, examining the evolution of BIM, its principles, and its applications in Quantity Surveying. It delves into the key concepts and methodologies underpinning BIM adoption and integration within Quantity Surveying practices. Through a critical analysis of existing literature, the review identifies gaps, trends, and best practices in the field, providing a solid foundation for the subsequent research. The research methodology chapter outlines the approach taken to investigate the implementation of BIM in Quantity Surveying practices. A mixed-methods research design is employed, combining qualitative and quantitative data collection methods to gather insights from industry professionals, academics, and BIM experts. Surveys, interviews, and case studies are conducted to collect primary data, while secondary sources are utilized to supplement the findings. The findings chapter presents a detailed analysis of the data collected, highlighting the impacts of BIM on Quantity Surveying processes, such as cost estimation, quantity takeoff, and project management. The benefits of BIM implementation, including improved accuracy, efficiency, and communication, are discussed, along with the challenges faced by practitioners in integrating BIM into their workflows. The chapter also examines the readiness of the industry for widespread BIM adoption and identifies areas for future research and development. In conclusion, the study underscores the significance of BIM in transforming Quantity Surveying practices and emphasizes the need for continuous education, training, and collaboration among stakeholders to maximize its potential. The thesis contributes to the growing body of knowledge on BIM implementation in Quantity Surveying and provides valuable insights for industry practitioners, educators, and policymakers seeking to leverage BIM for enhanced project delivery and performance. Keywords Building Information Modelling (BIM), Quantity Surveying, Implementation, Construction Industry, Technology, Innovation, Collaboration.

Thesis Overview

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