Developing and Evaluating a Digital Cost Management System for Construction Projects | Blazingprojects Postgraduate Thesis
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Developing and Evaluating a Digital Cost Management System for Construction Projects

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction to Digital Cost Management in Construction
  • 1.2Background of Development and Evaluation of Digital Cost Systems
  • 1.3Problem Statement: Challenges in Traditional Cost Management
  • 1.4Aim and Objectives of Developing and Assessing a Digital Cost System
  • 1.5Research Questions Addressing Digital Cost Management Innovations
  • 1.6Hypotheses on System Effectiveness and Efficiency
  • 1.7Significance of Digital Cost Systems for Construction Stakeholders
  • 1.8Scope and Delimitations of the Digital Cost Management System Study
  • 1.9Limitations Encountered in System Development and Evaluation
  • 1.10Organisation of the Thesis on Digital Cost System Development
  • 1.11Operational Definitions of Key Digital Cost Management Terms

Chapter TWO

LITERATURE REVIEW

  • 2.1Conceptual Framework of Construction Cost Management Systems
  • 2.2Theoretical Foundations: Technology Acceptance Model (TAM) and Innovation Diffusion Theory
  • 2.3Empirical Review of Digital Cost Management Implementations
  • 2.4Existing Digital Cost Management Tools and Platforms
  • 2.5Challenges and Barriers in Digital Cost System Adoption
  • 2.6Advantages of Digital over Traditional Cost Management
  • 2.7Gaps in Literature: Need for Evaluation of Digital Cost System Efficacy
  • 2.8User Perceptions and Acceptance of Digital Cost Management Systems
  • 2.9Integration of Digital Cost Systems with Construction Management Processes
  • 2.10Critical Success Factors for Digital Cost System Deployment
  • 2.11Summary of Prior Research Findings and Limitations
  • 2.12Conceptual Model for Digital Cost System Development and Evaluation

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design: Design and Development of the Digital Cost System
  • 3.2Philosophical Paradigm: Positivism and Design Science Research
  • 3.3Population and Sample: Construction Firms and Cost Management Personnel
  • 3.4Sampling Technique: Stratified Random Sampling of Construction Organizations
  • 3.5Data Sources: Primary Data from System Users and Developers; Secondary Data from Project Records
  • 3.6Instruments of Data Collection: Questionnaires, System Usage Logs, and Interviews
  • 3.7Validity and Reliability of Data Collection Instruments
  • 3.8Data Analysis Methods: Quantitative and Qualitative Approaches
  • 3.9Analytical Framework: System Effectiveness Metrics and User Satisfaction Indicators
  • 3.10Ethical Considerations in Data Collection and System Implementation

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION
  • 4.1Data Presentation: Descriptive Statistics of System Users and Usage Patterns
  • 4.2Analysis of System Adoption Rates and User Engagement
  • 4.3Testing Hypotheses: Effectiveness of Digital Cost System on Cost Control
  • 4.4Interpretation of Hypothesis Testing Results
  • 4.5Analysis of System Efficiency and Time Savings
  • 4.6User Satisfaction and Perceptions Analysis
  • 4.7Correlation between System Utilization and Cost Performance
  • 4.8Discussion of Findings in Relation to Literature and Theoretical Frameworks

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of Key Findings on Digital Cost System Development and Evaluation
  • 5.2Conclusions on System Effectiveness and Impact on Construction Cost Management
  • 5.3Contributions to Academic Knowledge and Industry Practice
  • 5.4Practical Recommendations for Implementing Digital Cost Systems
  • 5.5Policy Recommendations for Stakeholders in Construction Cost Management
  • 5.6Limitations of the Study and Considerations for Future Research
  • 5.7Suggestions for Further Studies on Digital Cost Management Enhancements

Thesis Abstract

The effective management of project costs remains a persistent challenge within the construction industry, characterized by frequent budget overruns, inadequate cost control measures, and limited integration of digital technologies in cost management practices. This study addresses the need for innovative, technology-driven solutions by developing and empirically evaluating a comprehensive digital cost management system tailored specifically for construction projects. The research aims to enhance accuracy, transparency, and real-time decision-making capabilities for cost-related activities, thereby contributing to optimal resource allocation and project success. The primary objectives of this research include designing a user-centered digital cost management platform, assessing its operational efficacy, and evaluating its impacts on cost accuracy, timeliness of cost reporting, and stakeholder satisfaction. To achieve these, the study adopts a mixed-methods research design, integrating qualitative and quantitative approaches to ensure a comprehensive understanding of the subject matter. The qualitative component involves thematic analysis of interviews conducted with 25 project managers, quantity surveyors, and financial controllers across multiple construction firms, aiming to capture the contextual requirements and perceptions of digital cost management. The quantitative aspect comprises a quasi-experimental design involving 20 ongoing construction projects, with 10 projects employing the newly developed digital system and 10 utilizing traditional cost management practices. Data collection methods include structured questionnaires, project documentation review, and system usage logs. Validity and reliability of the research instruments are established through pre-testing, expert review, and Cronbach’s alpha scores exceeding 0.85. Data analysis techniques encompass descriptive statistics to summarize project and stakeholder characteristics, inferential statistics such as multiple regression analysis to examine the relationship between system adoption and cost control performance, and paired sample t-tests to assess differences in project outcomes pre- and post-implementation. Additionally, qualitative data are analyzed through thematic coding in NVivo to uncover perceived benefits, challenges, and barriers associated with digital cost management. The anticipated findings suggest that the digital system significantly improves the accuracy and timeliness of cost reporting, reduces estimation errors, and enhances decision-making processes. It is expected that projects utilizing the digital platform will demonstrate lower cost overruns—averaging a 15% reduction compared to traditional practices—and improved stakeholder satisfaction. The study also anticipates identifying critical factors influencing successful adoption, including user training, system customization, and organizational readiness. This research contributes to the theoretical advancement of cost management within construction by integrating principles from the Technology Acceptance Model (TAM) and Dynamic Capabilities Theory, highlighting the role of user acceptance and organizational flexibility in digital transformation. Practically, the developed system provides a scalable solution adaptable across various project sizes and organizational contexts, filling existing gaps related to the limited empirical validation of digital tools in construction cost control. The study concludes that implementing a dedicated digital cost management infrastructure markedly enhances project financial performance and operational transparency. Based on the findings, recommendations emphasize the importance of comprehensive user training, continuous system refinement based on user feedback, and strengthening organizational change management strategies. The research also advocates for further longitudinal studies to evaluate long-term impacts and integration with broader project management systems, thereby fostering a digital culture within the construction industry that aligns with contemporary technological advancements and strategic objectives.

Thesis Overview

This research focuses on creating and testing a digital system aimed at making cost management in construction projects more effective and accurate. In construction, managing costs is crucial because projects often face budget overruns, delays, and financial miscommunications. Traditional methods like spreadsheets or paper records are often inefficient, prone to errors, and unable to provide real-time updates, which can lead to poor decision-making. This study addresses the gap in practical digital tools specifically designed for cost control within the construction industry, aiming to improve transparency, speed, and accuracy in cost tracking. The researcher will begin by reviewing existing cost management techniques and digital tools used in construction projects worldwide. Next, they will design a digital cost management system tailored for use in construction settings, incorporating features like real-time cost tracking, automated reporting, and integration with other project management tools. To evaluate its effectiveness, the researcher will implement this system on several ongoing construction projects, selecting a sample size of around 10 projects with varying sizes and types. Data collection will involve interviews and surveys of project managers and financial officers, system usage logs, and financial records before and after system implementation. The researcher will analyze this data using quantitative methods such as descriptive statistics, paired sample t-tests, and regression analysis to determine whether the system improves cost accuracy, reduces delays, and enhances decision-making. Additionally, qualitative data from interviews will be analyzed thematically to understand user experiences and system usability. The study aims to contribute new knowledge about how digital tools can enhance cost management in construction, offering a practical framework for industry adoption. The expected outcome is an empirically validated digital system that can help construction firms reduce costs, improve reporting accuracy, and make better-informed financial decisions, ultimately leading to more successful project delivery.

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