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Studies show that building information modelling (BIM) technology can improve construction productivity regarding the design, construction and maintenance of a project life cycle in the 21st century. Revit has been identified as a frequently used tool for delivering BIM in the built environment. Studies about BIM technology via Revit are scarce in training middle-level workforce higher education institutions. Thus, this study aims to investigate the relevance of BIM technology and offer measures to promote digitalisation in Nigeria’s built environment polytechnic undergraduates via Revit.

Given the unexplored nature of training the middle-level workforce in Nigeria, 37 semi-structured virtual interviews were conducted across Nigeria, and saturation was achieved. The participants were knowledgeable about construction-related BIM. The researchers used a thematic analysis for the collected data and honed them with secondary sources.

Improved visualisation of design, effective and efficient work productivity, automatic design and quantification, improved database management and collaboration and data storage in the centrally coordinated model, among others, emerged as BIM’s benefits. BIM technology via Revit is challenging, especially in Nigeria’s polytechnic education curriculum. The 24 perceived issues were grouped into government/regulatory agencies-related, polytechnic management-related and polytechnic undergraduate students-related hindrances in Nigeria’s built environment.

This study is limited to BIM implications for Nigeria’s built environment polytechnic undergraduates.

This study contributes to the literature paucity in attempting to uncover perceived issues hindering the implementation of BIM technology via Revit in training Nigeria’s built environment polytechnic undergraduates via a qualitative approach.

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.

BIM has much potential to improve the effectiveness of construction works with respect to design, construction and maintenance. However, many Architecture, Engineering, and Construction (AEC) firms are still lagging in the adoption and implementation of BIM in both developing and developed countries. The purpose of this study is to assess the barriers to BIM implementation, and examine the ways forward to improve BIM adoption within the Nigerian AEC firms.

A comprehensive literature review and questionnaire survey were used in the study. The survey targeted four different AEC firms. These include architectural firms, facility management firms, quantity surveying firms and structural engineering firms in Lagos, Nigeria. The data obtained were analyzed using mean score, standard deviation, Kruskal–Wallis test, and factor analysis.

The study identified 20 barriers to BIM implementation and identified ten ways forward to improve BIM adoption in AEC firms, particularly in Nigeria. The relative importance of both the identified barriers and the ways forward were gauged. The Kruskal–Wallis tests revealed that except for one (out of 20) identified barriers, and one (out of 10) identified ways forward; there is no statistical significant difference in the perceptions of four different AEC firms. The factor analysis result grouped the 20 identified barriers into three major factors to include: weak top management support and BIM environment related issues; cost of BIM software and training issues; and incompatibility, legal, contractual, and culture related issues.

The significance of the study cannot be over-emphasized due to BIM relevance to construction stakeholders and researchers at large.

The study findings would inform the decisions of the construction stakeholders to make some policy recommendations capable of positively influencing the full BIM implementation in AEC firms.

Building information modeling (BIM) is vital in the performance improvement of contracting firms. Thus, there is a need to stimulate its implementation in the construction sector with a view to meeting the competitive demands of the industry. However, there have been very few studies on BIM implementation among contracting firms in Nigeria. Hence, this study aims to examine the current BIM uptake among Nigerian contracting firms, assess the barriers to BIM implementation and examine the ways of improving BIM implementation within these contracting firms.

A questionnaire survey was conducted on contracting firms (comprising small-, medium- and large-sized firms) in Lagos, Nigeria. The obtained data were analyzed using both descriptive and inferential statistics. These included percentage, mean score, standard deviation, the Kruskal–Wallis test and factor analysis.

This study revealed the current state of BIM implementation among contracting firms in Nigeria in terms of their knowledge of BIM, their usage of BIM as well as the BIM software adopted. Furthermore, the study identified 25 barriers to BIM implementation in contracting firms and identified 15 ways to improve BIM implementation in contracting firms. The relative importance of both the identified barriers and the ways for improving BIM implementation was gauged among contracting firms comprising small-, medium- and large-sized firms. The result of the Kruskal–Wallis test revealed that, except for two (out of 25) identified barriers, and one (out of 15) identified ways of improving BIM implementation in contracting firms, there is no significant statistical difference in the perceptions of the three respondents’ groups. The result of the factor analysis categorized the identified 25 barriers into seven main factors.

This study provides empirical evidence on the barriers to BIM implementation and the ways of improving its implementation among contracting firms, thereby providing a better insight of the Nigerian construction industry’s BIM environment.

This study’s findings can positively inform the decisions of construction stakeholders to formulate strategies capable of improving BIM implementation in the construction industry at large.

This paper aims to explore and review the critical perspectives of stakeholders in the facility management (FM) industry as regards the barriers to building information modelling (BIM) integration, with the view to providing significant insights to mitigate the barriers to BIM implementation.

An extensive literature review was conducted to identify critical barriers to BIM–FM integration. Ten categories of barriers were identified from the literature review and used to design a Likert scale-based questionnaire, which was administered to registered members of International Facility Management Association based in Lagos, Nigeria. The data collected were analysed using both descriptive (mean score, standard deviation, frequency tables and charts) and inferential statistics (Shapiro–Wilk and Kruskal–Wallis tests).

The descriptive and inferential analysis demonstrated a disparity in the ranking of the ten barriers among the groups. Six (out of ten) barriers to BIM implementation for FM practices are identified as critical (mean score greater than 4.0): insufficient awareness levels of BIM–FM integration benefits, non-existence of contractual and legal framework for BIM implementation, limited studies on BIM–FM inter-relationship, poor acceptance levels and resistance to change among stakeholders, perception of BIM and inadequacy of mode data. And the results of the one-sample t-tests show that there were statistically significant differences in the six.

This study offers significant insights to industry stakeholders in understanding BIM implementation barriers in FM, as well as the framework for mitigating them. These findings could also be applied to other developing countries, with special consideration given to locational differences.

The valuable information provided in this study could be used as a roadmap to improve BIM–FM practice implementation in Nigeria. It also measured differences in the opinions of professionals.

In developing countries, adoption of building information modelling (BIM) concept within the architecture, engineering and construction (AEC) curricula in universities is a relatively new effort, and subsequently, studies on the status of BIM implementation in universities are rare. This study, therefore, becomes imperative with a view to identifying and examining the barriers to the incorporation of BIM into quantity surveying (QS) undergraduate curriculum in Nigerian universities.

The study adopted a questionnaire survey, which was targeted at the academia and students from two selected universities offering QS honours degree programme. Data collected were analysed using mean score, Mann–Whitney test and factor analysis.

The study identified 30 barriers, and the analysis of the ranking revealed that 17 (out of 30) identified barriers were considered as the most serious barriers. The study, through factor analysis, grouped the 30 identified barriers into six major factors.

The findings provide greater insights and empirical evidence on the major barriers to implementation of BIM education in developing countries.

The identified barriers are relevant not only to QS education but also to other related disciplines within the AEC context. These findings would be of great value to academic staff and university management board to develop strategies for incorporating BIM into AEC disciplines curricula in developing countries at large.

This study examined factors influencing the organisational capabilities of the public sector for building information modelling (BIM) implementation in construction projects with a view to enhancing the performance of public sector projects.

The study adopted a quantitative descriptive analysis that was based on primary data. In total, 198 valid questionnaires obtained from construction professionals within the public sector provided primary quantitative data for the assessment. The respondents provided the responses on the factors which were identified through an in-depth synthesis of literature relating to organisational capabilities of the public sector. Data collected were analysed using descriptive and inferential statistics.

The findings established that the potential of the public sector to deploy BIM in construction projects is greatly influenced by varying degree of organisational capability attributes with bureaucratic culture (mean score, MS = 3.37), structural complexity (MS = 3.17), lack of skilled and trained staff (MS = 3.12), personnel stability (MS = 3.11), staff cooperation (MS = 3.09) and political constraint (MS = 3.07) ranked highest. Through factor analysis, these and other highly influential factors were grouped into eight components, namely management-related, policy-related, technical-related, attitude-related, work structure-related, work ethic-related, decision-related and feedback-related factors. This grouping reflects the various components of organisational capability attributes which the public sector needs to efficiently develop to benefit from project management paradigm introduced by BIM.

This study provided information for improving specific capability attributes with respect to human and technical resources as well as other soft infrastructure to support BIM implementation on building projects by the public sector client. The study also serves as a guide for understanding BIM implementation by the public sector in similar socio-political and economic contexts.

This assessment indicates various degrees by which the organisational attributes of public sector have influenced the attributes' capability to implement BIM on construction projects. Thus, findings provide information on areas of improvement for better implementation of BIM by the public sector in project delivery.

The utilisation of building information modelling (BIM) technology is rapidly increasing among construction professionals across the world. Notwithstanding, recent studies revealed a low level of BIM implementation in the context of the Nigerian construction sector. Moreover, previous studies have established that BIM application comes with its share of various barriers. Therefore, this study aims to carry out an on-site survey on barriers to the application of BIM on construction sites in the Nigerian construction industry.

An extensive review of literature on BIM barriers was conducted, from where 33 factors were identified as significant BIM barriers peculiar to the developing countries. A questionnaire was developed and distributed to the targeted respondents, who are practicing professionals in the Nigerian construction industry, based on the identified barriers. The data collected were analysed by using both descriptive and inferential statistics.

The principal component analysis revealed that 27 barriers were peculiar to the Nigerian construction industry. The “lack of familiarity with BIM capacity, habitual resistance to change from the traditional style of design and build, and poor awareness of BIM benefit” were identified as the three most critical barriers hindering BIM application on construction sites in the Nigerian construction industry.

This study reveals key information on the peculiar barriers to BIM application in the Nigerian construction industry. The avoidance of these barriers will not only assist various construction stakeholders in the successful implementation of BIM application on a construction project but also promote information management systems and productivity within the construction industry to a great extent. These will further improve post-construction activities.

This study provides a substantial understanding of BIM state of the art in the context of barriers hindering BIM application on construction sites in the Nigerian construction industry.

This study aims to focus on the four user characteristics of innovation diffusion (availability, observability and trialability [AOT], simplicity, relative advantage [RA] and interoperability) to observe their influence on building information modelling (BIM) usage. This study focuses on the Kenyan construction industry, specifically the building contractors.

This study uses purposive sampling and specifically focusses on active construction sites that met requirements needed for BIM usage to thrive. Data was collected manually using questionnaires (N = 62).

This paper contributes to the analysis of the current state of BIM usage by the Kenyan construction industry specifically among building contractors and confirms that Kenya is at the early majority adopters’ stage of diffusion characterised by low BIM usage. In terms of correlation, this study found out that AOT had a strong positive correlation with usage, RA had a moderate positive correlation with usage, simplicity had a weak positive correlation with usage and interoperability had no correlation with usage.

This study gives a clear trend on BIM usage among building contractors to assist potential BIM users make informed decision. The recommendations in this study can be adopted by any late adopter jurisdiction whose structure of the construction industry is similar to Kenya’s.

This paper highlights variables that enable or subdue BIM usage. It goes further to localise and contextualise the barriers for deeper understanding of what makes these barriers be major hindrances towards BIM usage and giving practical solutions to these barriers.

The purpose of this paper is to identify the key facilitating factors for smart sustainable practices (SSP) and develop a project evaluation model (PEM) for SSP implementation in Nigeria and Hong Kong. SSP is coined from the integration of digital technologies such as Building Information Modelling (BIM) to facilitate sustainability practices.

The study employed a quantitative research design approach using empirical questionnaire surveys to solicit the opinions of 69 and 97 construction practitioners in Nigeria and Hong Kong. Purposive and snowball sampling techniques were used to identify the potential survey respondents. The fuzzy synthetic evaluation technique was used to develop the PEMs.

The findings revealed that adequate technical expertise of the SSP processes is critical in enhancing its implementation in Hong Kong and Nigeria; as well as the provision of training programs for specialists in smart and sustainable initiatives. Meanwhile, the study's findings advocated that for an SSP-enabled construction project, its project performance is mainly influenced by the client's satisfaction level and the early involvement of the project teams.

The study's results are limited to the Nigeria and Hong Kong construction industries.

Construction stakeholders such as the clients, developers, contractors can utilize the PEMs to determine and track SSP initiatives implementation in building projects in a reliable and practical way.

No tool has been developed for evaluating SSP initiatives at the project level in the construction industry. Using case studies of Hong Kong and Nigeria, PEM indices were developed to measure and track SSP implementation in construction projects.