Chapter One — 1.1 Background to the Study

Building Information Modeling (BIM) Adoption has increasingly attracted the attention of researchers, regulators, and practitioners concerned with housing delivery. This growing interest reflects the recognition that building information modeling (BIM) adoption does not operate in isolation, but interacts with a wider set of institutional and market conditions found within Selected Fintech Companies in Nigeria.

Within the context of Selected Fintech Companies 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) adoption on housing delivery, making a context-specific inquiry both timely and necessary.

1.2 Statement of the Problem

While building information modeling (BIM) adoption is widely discussed in policy and industry circles, empirical evidence on its actual effect on housing delivery within Selected Fintech Companies 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) adoption are helping or hindering housing delivery — a gap this study sets out to close.

1.3 Objectives of the Study

1. To examine the effect of Building Information Modeling (BIM) Adoption on housing delivery in Selected Fintech Companies in Nigeria.
2. To assess the extent to which building information modeling (BIM) adoption influences housing delivery within the study area.
3. To identify the challenges associated with building information modeling (BIM) adoption in relation to housing delivery.
4. To recommend strategies for optimizing building information modeling (BIM) adoption in order to improve housing delivery.

1.4 Research Questions

1. What is the effect of building information modeling (BIM) adoption on housing delivery in Selected Fintech Companies in Nigeria?
2. To what extent does building information modeling (BIM) adoption influence housing delivery within the study area?
3. What challenges are associated with building information modeling (BIM) adoption in relation to housing delivery?
4. What strategies can be adopted to optimize building information modeling (BIM) adoption in order to improve housing delivery?

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 housing delivery. For managers and practitioners within Selected Fintech Companies in Nigeria, the study provides practical insight into how building information modeling (BIM) adoption can be better managed. Finally, it contributes to the academic literature on architecture 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) Adoption and its relationship with housing delivery within the context of Selected Fintech Companies in Nigeria. 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.