Chapter One — 1.1 Background to the Study

Over the past decade, the relationship between building information modeling (BIM) adoption and energy efficiency of buildings has become a subject of considerable debate among scholars and industry practitioners alike, particularly within the context of Selected States in Nigeria where operating conditions differ markedly from more developed markets.

Selected States in Nigeria presents a useful setting for examining this relationship precisely because the conditions there — structural, regulatory, and behavioural — differ from those typically assumed in the broader literature, most of which draws on evidence from more developed economies.

1.2 Statement of the Problem

Despite a growing body of literature on building information modeling (BIM) adoption, there remains limited consensus on the precise nature of its relationship with energy efficiency of buildings, particularly within Selected States in Nigeria. Many organizations continue to make decisions about building information modeling (BIM) adoption without a clear, evidence-based understanding of how those decisions ultimately affect energy efficiency of buildings. This gap between practice and empirical understanding is the central problem this study seeks to address.

1.3 Objectives of the Study

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

1.4 Research Questions

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

1.5 Significance of the Study

Beyond its academic contribution to the field of architecture, this study has practical value for management teams within Selected States in Nigeria seeking to understand how building information modeling (BIM) adoption translates into measurable outcomes around energy efficiency of buildings. It is equally useful to students and future researchers looking for a localized empirical reference on this relationship.

1.6 Scope of the Study

The study is limited to an examination of Building Information Modeling (BIM) Adoption and its relationship with energy efficiency of buildings within the context of Selected States 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.