Assessment of post-contractual cost management in BIM-enabled tendering for residential construction projects.

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of Study
  • 1.3Problem Statement
  • 1.4Objectives of the Study
  • 1.5Limitation of the Study
  • 1.6Scope of the Study
  • 1.7Significance of the Study
  • 1.8Structure of the Research
  • 1.9Definition of Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Theoretical Framework for Quantity Surveying in BIM
  • 2.2BIM Adoption and Implementation in Residential Projects
  • 2.3Cost Planning and Control in Post-Contract Phases
  • 2.4Tendering Processes and Post-Tender Cost Management
  • 2.5BIM-enabled Cost Estimation Techniques
  • 2.6Collaboration and Information Exchange in BIM Environments
  • 2.7Risk Allocation and Contingencies in Post-Contract Costs
  • 2.8Value Engineering in BIM Projects
  • 2.9Legal and Contractual Considerations in BIM Costing
  • 2.10Performance Metrics and Benchmarking in Post-Contract Cost Management

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design and Rationale
  • 3.2Research Philosophy
  • 3.3Population and Sampling Techniques
  • 3.4Data Collection Methods (Quantitative)
  • 3.5Data Collection Methods (Qualitative)
  • 3.6Instrumentation and Measurement
  • 3.7Validity and Reliability/Trustworthiness
  • 3.8Data Analysis Procedures (Quantitative)
  • 3.9Data Analysis Procedures (Qualitative)
  • 3.10Ethical Considerations

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • 4.1Overview of Case Context and Data Sources
  • 4.2BIM Model Evaluation and Data Extraction
  • 4.3Post-Contract Cost Management Practices Observed
  • 4.4Tendering and Post-Tender Budget Realignment Findings
  • 4.5Cost Variance Analysis and Change Order Management
  • 4.6Stakeholder Interviews: Perceptions and Challenges
  • 4.7Critical Success Factors for BIM-enabled Cost Control
  • 4.8Synthesis of Findings and Cross-Case Comparison

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • 5.1Summary of Findings
  • 5.2Discussion in Light of Existing Literature
  • 5.3Theoretical and Practical Implications
  • 5.4Recommendations for Practice
  • 5.5Recommendations for Policy and Contractual Frameworks
  • 5.6Limitations of the Study
  • 5.7Future Research Directions
  • 5.8Conclusion and Contributions to Knowledge

Project Abstract

This study investigates the effectiveness of post-contractual cost management practices within BIM-enabled tendering processes for residential construction projects, aiming to bridge the gap between design-stage cost planning and on-site financial performance. The research adopts a mixed-methods approach, combining a systematic literature review with empirical data from case studies of multiple housing developments across different regions to identify prevailing cost-control mechanisms, data interoperability issues, and governance structures that influence post-contractual cost outcomes. The theoretical framework integrates BIM maturity concepts, cost management theory, and contract administration practices to examine how information symmetry, change management, and risk allocation affect cost predictability, variation orders, and final project profitability. Data collection includes semi-structured interviews with project managers, quantity surveyors, BIM coordinators, and financial controllers, complemented by document analysis of contracts, change orders, and BIM models. Quantitative analysis employs cost performance indicators such as cost variance, earned value, and forecasting accuracy, while qualitative analysis uses thematic coding to uncover barriers and enablers of proactive post-contractual control, including model-based quantity extraction, clash and change tracking, and integrated cost planning across supply chains. The study identifies key determinants of successful post-contractual cost management in BIM-enabled tendering, including early collaboration between design and construction teams, standardized BIM execution plans with linked cost registers, real-time updates to take-off data, and transparent change-management workflows that tie design iterations to budget implications. It evaluates the impact of BIM interoperability issues, model fidelity, data governance, and the adoption of digital twins on cost visibility and decision-making speed. A comparative analysis reveals that projects employing integrated cost dashboards, automated re-pricing workflows, and centralized budgeting platforms demonstrate improved forecast accuracy, reduced change-order frequency, and enhanced stakeholder alignment, compared with projects relying on traditional 2D documentation and fragmented data exchange. The research also explores the role of risk-sharing contracts, incentives for early defect rectification, and post-contractual cost review mechanisms in sustaining cost control beyond handover. The findings contribute to a practical framework for practitioners that codifies best practices for implementing post-contractual cost management within BIM-enabled tendering, including recommended data structures, governance roles, KPI definitions, and process workflows. Policy implications highlight the need for standardized data exchange protocols, clearer responsibility matrices, and training programs to bolster BIM literacy among QS professionals and contractors. The study concludes with implications for future research, such as the development of industry-wide benchmarks for BIM-based post-contract cost performance and the exploration of automated auditing tools to support continuous improvement in residential construction projects.

Project Overview

What This Project Is About
A plain-language overview of how building projects estimate, control, and manage costs from rough planning to after construction using BIM-enabled tendering for homes. It looks at how digital models help teams prepare budgets, select suppliers, and monitor changes after the contract is signed, aiming to keep costs predictable and fair for everyone involved. The project simplifies how post-contract costs are tracked when building information models are used to tender and manage residential projects.

The Problem It Addresses
Traditional tendering often relies on static drawings and manual changes, making it easy for costs to drift after contracts are awarded. When BIM is used, new challenges arise in updating budgets after work begins and identifying who is responsible for cost changes. This project investigates how post-contract cost management can be clearer, faster, and more accurate in BIM-enabled tendering for residential builds, supporting cost certainty for clients, contractors, and designers.

Objectives of the Project


  1. Explain how BIM affects cost planning before and after contract signing in residential projects.
  2. Identify common post-contract cost issues and their root causes.
  3. Evaluate methods to track changes and claims within BIM environments.
  4. Suggest practical steps to improve cost control during construction using BIM data.
  5. Provide a simple framework that stakeholders can apply to reduce cost overruns.


What You Will Do Step by Step


  1. Review basic concepts of BIM and tendering in residential construction.
  2. Collect sample tender and post-contract cost data from case studies or simulated projects.
  3. Analyze how BIM data is used to update budgets and manage changes.
  4. Identify gaps where costs drift after contract award.
  5. Develop a straightforward cost-management workflow for BIM-enabled projects.
  6. Validate the workflow with expert feedback or a small pilot exercise.
  7. Document potential benefits and limitations for practitioners.


Expected Outcome


A simple, practical guide for managing post-contract costs in BIM-enabled tendering for residential projects, including a clear workflow, key risk areas, and recommended practices that can be adopted by firms to reduce budget surprises and disputes.

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