EST. 2026

The Archive

Quantity Surveying · REF. TA-12691

The Influence of Building Information Modeling (BIM) for Cost Management on Accuracy of Cost Estimates in Selected Listed Manufacturing Firms in Nigeria

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

In recent years, Building Information Modeling (BIM) for Cost Management has emerged as a critical factor shaping accuracy of cost estimates across organizations operating in and around Selected Listed Manufacturing Firms in Nigeria. As institutions grapple with the pressures of globalization, regulatory reform, and shifting stakeholder expectations, understanding how building information modeling (BIM) for cost management relates to accuracy of cost estimates has become an important area of both scholarly and practical concern.

Within the context of Selected Listed Manufacturing Firms in Nigeria, 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 Selected Listed Manufacturing Firms in Nigeria 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 Selected Listed Manufacturing Firms in Nigeria.
  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 Selected Listed Manufacturing Firms in Nigeria?
  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 Selected Listed Manufacturing Firms in Nigeria, 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

In terms of scope, this study confines itself to Selected Listed Manufacturing Firms in Nigeria, focusing specifically on how building information modeling (BIM) for cost management relates to accuracy of cost estimates within that setting. Findings are interpreted within these boundaries rather than as universal claims applicable to every organization or market.

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

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