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Implementation of Building Information Modeling (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 Introduction to Literature Review
2.2 Conceptual Framework
2.3 Importance of BIM in Quantity Surveying
2.4 Challenges in Implementing BIM in QS Practices
2.5 Previous Studies on BIM and QS
2.6 BIM Software and Tools in QS
2.7 Benefits of BIM in QS
2.8 BIM Adoption Trends in the Construction Industry
2.9 BIM Standards and Guidelines
2.10 Future Trends in BIM and QS

Chapter THREE

: Research Methodology 3.1 Introduction to Research Methodology
3.2 Research Design and Approach
3.3 Sampling Techniques
3.4 Data Collection Methods
3.5 Data Analysis Techniques
3.6 Validity and Reliability
3.7 Ethical Considerations
3.8 Limitations of the Methodology

Chapter FOUR

: Discussion of Findings 4.1 Introduction to Findings
4.2 Overview of Data Analysis
4.3 Comparison of Findings with Literature
4.4 Interpretation of Results
4.5 Implications of Findings
4.6 Recommendations for Practice
4.7 Areas for Further Research

Chapter FIVE

: Conclusion and Summary 5.1 Summary of Findings
5.2 Conclusions Drawn
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Recommendations for Future Work
5.6 Conclusion

Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, offering new opportunities for enhanced project delivery and management processes. This thesis investigates the implementation of BIM in Quantity Surveying practices, aiming to explore the impact of BIM on traditional quantity surveying methods and the potential benefits it offers. The study delves into the integration of BIM tools and methodologies in quantity surveying processes, examining the challenges and opportunities associated with this adoption. Through a comprehensive literature review, the research provides insights into the current state of BIM implementation in the construction industry and its implications for quantity surveyors. The research methodology involves a mixed-methods approach, combining qualitative and quantitative data collection techniques. Surveys, interviews, and case studies are utilized to gather information from industry professionals, academic experts, and project stakeholders. The data is analyzed using thematic analysis and statistical tools to identify key trends, challenges, and success factors in the adoption of BIM in quantity surveying practices. The findings of the study reveal that the implementation of BIM in quantity surveying practices offers significant advantages, including improved collaboration, enhanced data accuracy, and better project visualization. However, challenges such as cost implications, skill gaps, and resistance to change are identified as barriers to widespread adoption. The research highlights the importance of training and upskilling quantity surveyors to leverage the full potential of BIM technologies in their practice. The thesis concludes with a discussion of the implications of the research findings for the construction industry and recommendations for future research and practice. The study contributes to the growing body of knowledge on BIM implementation in quantity surveying practices and provides valuable insights for industry professionals, educators, and policymakers seeking to embrace digital transformation in the built environment.

Thesis Overview

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