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Practitioners have reported a minimal and non-use of building information modelling (BIM), especially in small and medium-sized organisations and BIM infant construction industries. This development calls for a reappraisal of organisations’ strength in capabilities required for BIM uptake towards the target of global construction digitalisation. This study aims to assess the BIM Level 2 uptake capability of organisations in a BIM infant construction industry and identify the underlying interactions between the capability criteria.

The study used a multivariable analysis of fifteen descriptors identified from the people, process, policy, finance and technology domain. Data collection was done in the BIM infant construction industry in Nigeria. Verification of the descriptors and an evaluation of BIM uptake capability in organisations was done. Seventy-three responses were received within the selected context, and data analysis was done with mean weighting and exploratory factor analysis. Maximum Likelihood extraction and Direct Oblimin rotation were used.

Factor analysis revealed three factors that explained 53.28% of the total variance in the BIM Level 2 uptake capability of construction organisations. The factors are workforce capacity and continuous development, an affinity for innovation and strength in physical and operational facilities.

This study provides an overarching and insightful discussion on BIM uptake capability and construction digitalisation with evidence from a BIM-infant construction industry.

The findings of this study are a piece of valuable empirical evidence on Level 2 BIM uptake capability. This empirical situation analysis will inform the advocacy for the advancement of BIM and enhanced utilisation of building information. Evidence on the capability performance of the BIM infant industry has been revealed.

The outcome is expected to stir debate on the preparedness of organisations to further exploit the benefits of BIM in the BIM infant construction industry. Examination of the capability for a particular phase of BIM is scanty in the literature.

The purpose of this paper is to validate perceived benefits and challenges of managing change in Building Information Modelling (BIM) Level 2 projects and to further explore the opportunities for enhancing the benefits and reducing the challenges. This research is timely because, hitherto, the benefits and challenges of managing change in BIM Level 2 remained largely unvalidated and the opportunities for enhancing the benefits and reducing challenges remained relatively unexplored.

A combination of a questionnaire survey and interviews with BIM Level 2 practitioners in the UK was employed in this study. In all, 41 responses were received from the questionnaire survey and ten subsequent interviews with BIM practitioners were carried out to explore opportunities for reducing challenges and increasing benefits of managing change in BIM Level 2 projects.

The study confirms benefits and challenges of managing change in BIM Level 2 projects identified and synthesised from literature, a much needed validation. Additional benefits and challenges were also identified in this study, such as cost saving and risk reduction (benefits) and social dimension issues in the BIM Level 2 processes (challenges). Opportunities identified to enhance benefits and reduce challenges were mainly socially driven, and were either reactive or proactive in nature.

Opportunities for reducing challenges and increasing benefits identified from this research can inform the change management processes in BIM-Level 2.

The findings provide concrete basis for shaping BIM Level 2 change management processes and requirements.

The identification of behaviours as shaping the social requirements for BIM-Level 2 confirms the need for a socio-technical approach to successful BIM implementation.

The identification of behaviours as shaping the social requirements for BIM Level 2 confirms the need for a socio-technical approach to successful BIM implementation.

In the architecture, engineering and construction (AEC) industry, a “digital divide” exists in technology adoption because SMEs (who often form the bulk of AEC organisations in most countries) are thought to be “Late Majority” and “Laggards” in the adoption of Building information modelling (BIM) technology. Larger organisations not saddled with financial and socio-technical constraints might be considered as being among the “Early Majority” or “Innovators”. It is crucial to understand how these organisations differ in their speed of BIM technology adoption and the rationale for this difference. The purpose of this paper is to investigate the potential causes of the digital divide and suggest solutions for bridging the gap.

Using mixed research method, data were collected through online questionnaire survey of over 240 global respondents as well as a semi-structured interview with nine experts for which statistical and thematic analyses were used, respectively.

Organisations can be zoned into “layers” and “levels” of BIM technology adoption and their size is not always significant in terms of the speed at which they adopt BIM. The digital divide is unequal across layers/levels and large organisations utilise technologies across the BIM maturity levels depending on project circumstances. A conceptual model for BIM technology was developed to aid identification of the “Laggards” and “Late Majority” from the “Innovators” through which change agents can customise adoption strategies for each group.

The developed model could serve as a tool for engagement and policy making and it contributes to the body of knowledge in the field of BIM technology adoption.

This study aims to undertake a contextual analysis of project-level building information modelling (BIM) adoption in Nigeria and demonstrate how BIM is applied across different projects in Nigeria.

This research generates contextual and holistic understandings of multiple project-level cases of BIM adoption through an interpretive paradigm guided by relativist ontology and subjectivist epistemology. Two models of project-level BIM adoption (ten-factor theory of BIM adoption and strategic-contingent model of BIM adoption) were merged to formulate the BIM adoption assessment scale (BIM-AAS). A qualitative-oriented case study protocol was developed to extract valid and reliable data from external and internal project data based on BIM-AAS features. The extracted data were analysed using the pattern-matching technique and cross-case analysis.

The results indicate that there was substantial use of BIM tools and technologies in the projects. All the projects adopted collaborative procurement and team and developed integrated building information models. The use of BIM tools, technologies and processes in the projects was found to be above average. The complexities and expectations levels of the projects compliment the nature of BIM adoption in the projects.

The BIM-AAS adopted in this research is an excellent example of a project-level BIM adoption analytical tool. It can be assumed in future research. Also, this research contributes to the theory that the level of project complexity and expectations must align with the level of BIM adoption in projects. The study’s findings ratify BIM tools, technologies and processes as the elements of project-level BIM adoption.

This research substantiates the actual nature and structure of BIM adoption in Nigeria, thereby simplifying the development of initiatives towards BIM adoption in projects and determining the appropriate strategies for BIM implementation and innovation in the Nigerian construction industry. The most important initiative that the Nigerian government can make to drive BIM implementation is the automating of code checking for building rules and regulations in Nigeria.

Previous studies have only reported cases of project-level BIM adoption using surveys and without a standardised project-level BIM adoption model to guide the analysis. This study is the first to formulate and use BIM adoption models for a uniform, critical and contextual analysis of project-level BIM adoption.

The purpose of this chapter is to investigate the adoption and use of building information modelling (BIM) for residential real estate development in Nigeria (using Lagos as a case study), with a view to providing information towards improving BIM uptake, which could enhance sustainable housing delivery in the country. A quantitative research methodology was adopted involving the use of questionnaire survey to collect primary data. The data were obtained from private real estate developers in Lagos State. The self-administered questionnaire was distributed to all the 72 active real estate developers in the study area, and the response rate was 62.5%. The collected data were analysed using statistical tools such as frequency and percentages, mean rating and chi-square. The results revealed a low level of awareness and usage of the transformative and contemporary BIM technology (6D BIM version) by real estate developers. It was established that the 2D and 3D BIM traditional versions were the most utilised across the phases of real estate development process. It was also found that the level of BIM utilisation has a significant relationship with the age and asset base of the real estate developers. The chapter concludes by advocating increase in the asset base and organisational profile of real estate developers to enhance BIM adoption, especially, the 6D BIM, which could facilitate sustainable real estate development.

A number of governments are making building information modeling (BIM) a mandatory requirement for all public works construction projects. While main contractors may be ready to comply with such requirements, the supply chain as whole may be vulnerable as lower-tier suppliers may not be able to adopt BIM. There is currently no objective approach to assessing BIM maturity; hence, this paper aims to develop a new approach to determine suppliers’ current vision and execution-based capabilities to exploit BIM and their capacity to reach a higher maturity level.

Based on UK Government BIM maturity levels, the authors exploit a unique data set made available by a main contractor, to determine a data-driven approach, using K-means, to assess the capabilities and vision of its supply base.

The authors find a direct comparison between our suggested K-means clusters and the UK Government’s BIM maturity levels. However, in interrogating specific cases, the authors find that using a subjective approach would have wrongly categorized certain companies. The authors also determine what capability and strategic developments are required for companies to move to a higher level.

The method aligns with the existing UK BIM maturity model and enhances the model by determining the likelihood of a supplier in progressing to a higher level of maturity. The research was with a single case company, exploiting their existing survey instrument and data. A more comprehensive study could be adopted with a generic survey questionnaire.

The research may be exploited by companies to take a strategic approach to assess suppliers in BIM adoption and to establish supplier development mechanisms.

The data-driven approach avoids ambiguity of categories and mis-categorizing suppliers.

Building information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry.

This study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests.

The findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix.

Primary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance.

Overall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.

The government plays a critical role in driving building information modeling (BIM) implementation. The purpose of this study is to investigate the government efforts for driving BIM implementation in three benchmark countries, namely, Singapore, the UK and the US, so as to develop appropriate roadmaps for increasing BIM implementations in other countries.

This study performs a review on the government efforts and roles in BIM implementation in three benchmark countries, namely, Singapore, the UK and the US.

Through cross comparison with existing literature, it is found that Singapore and the UK adopt a government-driven approach and a phase-by-phase development pattern is observed. The first phase focuses on the building sector to rapidly increase the use of BIM and the government generally plays the role of an initiator. In the second phase, BIM is expanded to other implementation areas, e.g. smart city. The importance of the initiator role decreases and more attention is paid to supporting roles such as researcher, educator and regulator. In contrast, an industry-driven approach is adopted in the US. The main role of the government is that of a regulator, with research institutions actively supporting the BIM implementation.

General roadmaps of the two mandating approaches are presented. The results can provide a useful reference for countries and regions that intend to develop roadmaps to increase their BIM maturity level and enhance readiness to accept and implement BIM.

This study is one of the first studies that investigate the step-by-step roadmaps for implementing BIM from the perspective of changing government roles.

The business benefits envisaged for BIM represent the main criteria for decision-making about BIM implementation – or shy away from BIM. Despite the significance, traditional evaluation techniques have difficulty to capture “the true value” of BIM from multiple levels and dimensions – as an effective evaluation method is supposed to. This study aims to identify the significant factors that affect BIM return on investment (ROI), develop an integrated model for companies and examine the influence of intangible returning factors of BIM on the rate of BIM implementation.

A cluster sampling technique was used; 92 questionnaires completed by Australian architecture, engineering and construction small- and medium-sized enterprises (SMEs) provided the basis to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI.

Applying the PLS-SEM technique, findings reveal that a lack of reliable quantification methods for the ROI factors associated with BIM significantly affects the organisation's commitments to implement BIM. In essence, the failure to adequately identify and assess these benefits could result in the system not being appropriately implemented and supported by executive sponsors, who give priority to hard and tangible ROI measurements.

The outcome of this study would be of direct appeal to policymakers, industry professionals and the academic community alike, in providing data-informed insight into the intersection between the implementation of BIM and the concept of ROI. Findings would provide a springboard for further research into using ROI factors to increase BIM implementation. Though the findings are directly applicable and contextualised for Australia, they provide lessons and offer a blueprint for similar studies in other countries and settings. That is, regardless of the context, findings raise awareness and provide a point of reference for the quantification of intangible returning factors rather than the tangible returning factors, as one of the first studies in its kind.

The study provides original insight in drawing attention to an untapped area for research in BIM implementation, namely BIM ROI. Apart from raising awareness around BIM ROI, the study is novel in providing a quantified model that establishes the links and level of impacts of various factors associated with BIM ROI. Findings of this study, particularly add value to the body of knowledge related to the business implications associated with BIM implementation in the context of Australian SMEs, while providing lessons for other countries and settings.

How organisations interact with and respond to environmental pressures has been a long-term interest of organisational scholars. Still, it remains an under-theorised phenomenon from a project perspective. So far, there is limited understanding of how projects, which are composed by a constellation of organisations, “respond” to institutional pressures that are exerted on them. This research takes the perspective of projects as adopters/implementers of institutional pressures and analyses how they interact with, and respond to, such pressures. More specifically, this research explores how construction projects respond to the pressure of a Building Information Modelling (BIM) mandate.

Multiple in-depth case studies were conducted to explore the practical implementation of a BIM mandate in the UK and understand how the construction projects responded to the coercive pressures to implement a new policy mandate for process digitalisation. Multiple sources were employed for data collection and the data were analysed inductively. The findings identify a hybrid response comprising four distinct ways that projects might respond to an institutional pressure.

We find that projects decouple both from the content and from the intended purpose of a policy, i.e. there are two variance of a policy-practice decoupling phenomenon in projects. The findings also reveal the underlying conditions leading to decoupling.

We advance decoupling literature so that it better applies to the temporary, distributed and interdependent work conducted via projects. Second, we define decoupling in projects as a provisional and fragmented process of wayfinding through heterogeneous institutional spaces, and discuss the potential policy-practice assemblages in projects, influenced by how, if and when project members' activities decouple from the many and often contradicting institutional pressures they face. Third, we discuss how the qualitatively different forms of decoupling that we identified in our work may act as part of a legitimation process in ambiguous situations whereby projects might share a resemblance of conformity with institutional pressures when they are de facto only partially conforming to them.