EST. 2026

The Archive

Quantity Surveying · REF. TA-12637

An Evaluation of the Relationship between Building Information Modeling (BIM) for Cost Management and Accuracy of Cost Estimates in Borno State

Abstract

This study investigates the subject matter outlined in the title above through a structured research design appropriate to its academic level. Using primary and/or secondary data collection methods, the research examines the underlying variables, tests relevant hypotheses, and presents findings with implications for practice and policy. This is placeholder abstract text generated for catalogue preview purposes; the full document contains a complete, topic-specific abstract, literature review, methodology, data analysis, and conclusion.

Chapter One — 1.1 Background to the Study

Building Information Modeling (BIM) for Cost Management has increasingly attracted the attention of researchers, regulators, and practitioners concerned with accuracy of cost estimates. This growing interest reflects the recognition that building information modeling (BIM) for cost management does not operate in isolation, but interacts with a wider set of institutional and market conditions found within Borno State.

Within the context of Borno State, this relationship carries particular significance. Organizations in this setting operate under a distinct combination of economic, regulatory, and market conditions that may amplify or dampen the effect of building information modeling (BIM) for cost management on accuracy of cost estimates, making a context-specific inquiry both timely and necessary.

1.2 Statement of the Problem

While building information modeling (BIM) for cost management is widely discussed in policy and industry circles, empirical evidence on its actual effect on accuracy of cost estimates within Borno State remains sparse and, in places, contradictory. This lack of localized, rigorous evidence makes it difficult for decision-makers to know with confidence whether current approaches to building information modeling (BIM) for cost management are helping or hindering accuracy of cost estimates — a gap this study sets out to close.

1.3 Objectives of the Study

  1. To examine the effect of Building Information Modeling (BIM) for Cost Management on accuracy of cost estimates in Borno State.
  2. To assess the extent to which building information modeling (BIM) for cost management influences accuracy of cost estimates within the study area.
  3. To identify the challenges associated with building information modeling (BIM) for cost management in relation to accuracy of cost estimates.
  4. To recommend strategies for optimizing building information modeling (BIM) for cost management in order to improve accuracy of cost estimates.

1.4 Research Questions

  1. What is the effect of building information modeling (BIM) for cost management on accuracy of cost estimates in Borno State?
  2. To what extent does building information modeling (BIM) for cost management influence accuracy of cost estimates within the study area?
  3. What challenges are associated with building information modeling (BIM) for cost management in relation to accuracy of cost estimates?
  4. What strategies can be adopted to optimize building information modeling (BIM) for cost management in order to improve accuracy of cost estimates?

1.5 Significance of the Study

This study is significant to a range of stakeholders. For policymakers and regulators, the findings offer evidence to guide the design of frameworks that support healthier outcomes around accuracy of cost estimates. For managers and practitioners within Borno State, the study provides practical insight into how building information modeling (BIM) for cost management can be better managed. Finally, it contributes to the academic literature on quantity surveying by extending existing knowledge into a specific empirical context, and offers a reference point for future researchers.

1.6 Scope of the Study

The study is limited to an examination of Building Information Modeling (BIM) for Cost Management and its relationship with accuracy of cost estimates within the context of Borno State. It reflects a clearly defined scope of analysis and relies on data and perspectives available within that scope; generalizing the findings beyond this specific context should therefore be done with appropriate caution.

Chapters Two through Five, references and appendices are available for a one-time fee of ₦75,000.

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