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

 

Table Of Contents


Chapter 1

: 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 2

: Literature Review 2.1 Introduction to Literature Review
2.2 Theoretical Framework
2.3 Historical Development
2.4 Current Trends in Quantity Surveying
2.5 Role of BIM in Quantity Surveying
2.6 Challenges in Quantity Surveying Practices
2.7 Benefits of BIM Implementation
2.8 Case Studies on BIM in Quantity Surveying
2.9 Comparison of BIM Tools
2.10 Summary of Literature Review

Chapter 3

: Research Methodology 3.1 Introduction to Research Methodology
3.2 Research Design
3.3 Data Collection Methods
3.4 Sampling Techniques
3.5 Data Analysis Procedures
3.6 Ethical Considerations
3.7 Pilot Study
3.8 Instrumentation and Tools

Chapter 4

: Discussion of Findings 4.1 Introduction to Findings
4.2 Analysis of Data
4.3 Comparison of Results
4.4 Interpretation of Findings
4.5 Discussion on BIM Implementation
4.6 Implications for Quantity Surveying Practice
4.7 Recommendations for Future Research
4.8 Limitations of the Study

Chapter 5

: Conclusion and Summary 5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Quantity Surveying Field
5.4 Practical Implications
5.5 Recommendations for Practitioners
5.6 Suggestions for Further Research

Thesis Abstract

Abstract
Building Information Modeling (BIM) has emerged as a powerful technological tool in the construction industry, revolutionizing traditional practices and processes. This thesis investigates the implementation of BIM in Quantity Surveying practices, aiming to explore the benefits, challenges, and implications associated with its adoption. The study is structured into five main chapters, each focusing on specific aspects related to the integration of BIM in Quantity Surveying. Chapter 1 provides an introduction to the research topic, presenting the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The chapter sets the foundation for understanding the context and importance of implementing BIM in Quantity Surveying practices. Chapter 2 conducts a comprehensive literature review encompassing ten key areas related to BIM implementation in Quantity Surveying. The review covers topics such as the evolution of BIM, benefits and challenges of BIM adoption, integration of BIM in Quantity Surveying processes, and best practices for successful implementation. Chapter 3 outlines the research methodology employed in this study, detailing the research design, data collection methods, sampling techniques, and data analysis procedures. The chapter also discusses the ethical considerations taken into account during the research process. Chapter 4 presents a detailed discussion of the findings derived from the research study. The chapter analyzes the data collected, identifies patterns and trends, and explores the implications of implementing BIM in Quantity Surveying practices. Key findings related to the benefits, challenges, and best practices of BIM integration are highlighted. Chapter 5 serves as the conclusion and summary of the thesis, consolidating the key findings and insights obtained from the study. The chapter also offers recommendations for practitioners, policymakers, and future researchers looking to enhance the utilization of BIM in Quantity Surveying practices. Overall, this thesis contributes to the existing body of knowledge by shedding light on the potential of BIM to transform Quantity Surveying practices. By examining the opportunities and obstacles associated with BIM implementation, the study aims to provide valuable insights for industry professionals seeking to leverage technology for improved project outcomes and enhanced efficiency in the construction sector.

Thesis Overview

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