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Although there has been a surge in the adoption of building information modelling (BIM) in the construction industry, the small and medium-sized enterprises (SMEs) are still struggling and perceive its adoption as risky. The SMEs in developing economies are especially on the disadvantaged side of the digital divide. Extant studies have focused on large firms and there are scanty studies on the influence of the external environments on BIM adoption in SMEs. Thus, this study espouses institutional theory (INT) to examine the influence of coercive, mimetic, and normative pressures on BIM awareness and adoption in SMEs.

A quantitative approach was employed, and data were collected from the Nigerian construction SMEs via an empirical questionnaire survey using a sequential stratified and convenient sampling method. Hypothesized relationships between the coercive, mimetic, and normative pressure and BIM in SMEs were empirically tested using the partial least squares structural equation modelling (PLS-SEM) technique and the model was validated with the “PLSpredict” procedure.

The results revealed that coercive and mimetic pressures significantly influence BIM adoption in SMEs while normative pressures have the strongest influence on BIM in SMEs. Also, BIM awareness is an important predictor of BIM adoption. The findings also shed light on the influence of firmographics on BIM awareness and adoption in Nigerian SMEs.

The study empirically validates the applicability of INT and highlights that BIM adoption is not only influenced by internal responses to the need for efficiency but also by external pressures. It implies a clear need for intentional isomorphic pressures in driving BIM adoption in SMEs. The study employs the INT to explain a phenomenon that has not been theoretically explored in the context of SMEs in developing economies. Lastly, the study provided valuable insights into driving BIM adoption, together with the effective practical implications for implementation and potential research areas for further studies.

The complex interaction of politics and the economy is a critical factor for the sustainable growth and development of the construction sector (CNS). This study aims to investigate the effects of type of political administration including democracy and military on the performance of CNS using the Nigerian Construction Sector (NCS) as a case study.

A 48 year (1970–2017) time series data (TSD) on the NCS and the gross domestic product (GDP) based on 2010 constant USD were extracted from the United Nations Statistical Department database. Analysis of variance (ANOVA) and analysis of covariance (ANCOVA) models were used to analyze the TSD. The ANCOVA model includes the GDP as correlational variable or covariate.

The estimates of the ANOVA model indicate that democratic administration is significantly better than military administration in construction performance. However, the ANCOVA model indicates that the GDP is more important than political administration in the performance of the CNS. The study recommends for a new national construction policy, favourable fiscal and monetary policy, local content development policy and construction credit guaranty scheme for the rapid growth and development of the NCS.

Hitherto, little is known about the influence of political administration on the performance of the CNS. This study provides empirical evidence from a developing economy perspective. It presents the relationships and highlights recommendations for driving growth in the construction industry.

Despite the SMEs representing a large percentage of firms in the construction industry, there has been an under-representation of SMEs’ perspective in BIM research studies. This paper aims to systematically review the few extant studies with a view of synthesizing the findings.

Hermeneutic philosophy using the interpretivist epistemology approach with a touch of metasynthesis was adopted to critically review and analyse extant studies published over the last decade.

The findings revealed a scarcity of BIM studies in SMEs, the status of adoption, identified barriers, benefits and drivers. A conceptual model was then developed based on the literature review and theoretical lenses of innovation diffusion model, technology–organization–environment framework and institutional theory. The paper presents pertinent propositions to drive BIM in the SMEs.

This paper holistically reviews extant BIM studies from the perspective of SMEs that are the backbone of the construction industry. It synthesizes extant studies and sets scenes for further studies.

Building information modelling (BIM) research studies are highly contextual as the contexts provide lenses for interpreting the results. However, there has been a growing decontextualization in extant studies especially between the small and medium-sized enterprises (SMEs) and large firms; and between developed and developing countries. Albeit these contexts are all in the same construction industry, they often react differently to the same conditions. Thus, this study aims to evaluate the perceptions of firms in varying contexts of size and location on the perceived barriers to the implementation of BIM in the architecture, engineering and construction (AEC) industry.

The perceptions of 228 firms gleaned from 26 countries across the 6 continents were collated via an international empirical questionnaire survey. The data was analysed using the mean score, rank agreement analysis, Mann-Whitney U test and factor analysis.

The findings revealed the major factors impending BIM implementation in each of the contexts and a comparative analysis emphasized the difference in their perceptions. The findings underscore that there is a general digital divide as regard BIM implementation between the SMEs and large firms, and a deepening divide between the developed and developing countries.

The study has provided empirical evidence for the BIM divide in the AEC industry, which would influence the promulgation of BIM policy and transferability of best practices across varying contexts of both firm size and country level.

This study aims to evaluate and investigate the dynamics of the barriers to building information modelling (BIM) adoption from the perspective of small and medium-sized enterprises (SMEs) in developing countries with the Nigerian construction industry as a case study.

An interpretive structural modelling approach was adopted to develop a hierarchical model of the interrelationships of the barriers. Also, the Matrice d’Impacts croises-multipication applique a classement analysis was used for categorisation of the barriers.

The findings revealed that the barriers are from a sociotechnical context and that SMEs have the will to drive BIM adoption by focussing more on their internal environment.

This study presented the adoption of BIM in SMEs, which is underrepresented in extant studies. Also, it contributes to the nascent discussion of BIM from the perspective of SMEs in developing countries.

Modular integrated construction (MiC) reengineers the traditional construction process. By introducing factory production and onsite assembly (OA) of modules, MiC reinvents construction projects' uncertainties and risk profiles. The OA stage constitutes the highest end of the MiC delivery and supply chains, where several inherited and symbiotic errors and risk events become realities, negatively impacting the MiC project's success. This study explored the severities of OA risk factors for MiC projects.

A comprehensive literature review, consultation of experts and a questionnaire survey of domain experts were conducted to assess the severity of fifteen OA risk factors for MiC projects. The risk severity index was used to compute and rank the severities of critical OA risk factors for MiC projects, followed by proposed mitigation strategies.

The study revealed that the top five OA risk factors with the severest impact on MiC projects include modules installation discrepancies and errors, poor cooperation among critical onsite stakeholders, a mismatch between production schedules and site conditions, improper lifting equipment selection for onsite installation and site-fit rework due to discrepancies in drawings.

This study is the first to offer some important insights into the uncertainties that could compromise the OA objectives of MiC projects. It discussed risk management strategies for known and unknown OA risks and made a unique contribution to the theory, practice, and praxis of MiC supply chain risk management.

This paper aims to assess the level of awareness of quantity surveyors in material management and their key roles in waste minimization during the post-contract stage of the project with a view of achieving value for money in their roles.

This involves administering a questionnaire survey to registered members of the Nigerian Institute of Quantity Surveyors, the only recognized professional body of quantity surveyors in Nigeria, within Lagos state. The empirical questionnaire survey succeeds a literature review that isolates the key strategies used by quantity surveyors in material management and waste minimization at the post-contract stage. The validity of the questionnaire was carried out by two experienced construction industry researchers and three experienced professional quantity surveyors to ensure that the questionnaire was not ambiguous and that it consists of the right questions in tandem with the research. The respondents were grouped into consultant’s QS and contractor’s QS.

Key roles of quantity surveyors during the material management process are proper material storage, and material inventory and accounting are the most important material management and waste minimization practices during the institute stage. It revealed that there is a lack of material waste documentation practices during the construction stage. In addition, there is no statistically significant difference in the responses of the two groups. This may be because there is no clear compartmentalization between the practices of the two groups. In addition, these two groups had the same education training, as there is no difference between the educational training of the consultant’s QS and contractor’s QS.

This study assessed the quantity surveyors’ roles with regard to material management and waste minimization. It would add to the scanty research work in this area. The study has also successfully revealed the strategies that are to be adopted by the quantity surveyors to achieve value for money during the post-contract stage.

This paper aims to review the status of development of building information modelling (BIM), its trends and themes across the six continents of the world.

A total of 914 journal articles sought from the search engine of Web of Science (WOS) based on the country/region option of the WOS to group them into continents. A best-fit approach was then applied in selecting the suitable software programmes for the scientometric analysis and comparisons and deductions were made.

The findings revealed that there are differences in the development of BIM across the six continents of the world. South America and Africa are lagging in the BIM research and Australia and Asia are growing, whilst Europe and North America are ahead. In addition, there exist differences in the research themes and trends in these continents as against the single view presented in extant studies.

This study introduced a new approach to carry out a comparative and taxonomic review and has provided both academic researchers and industrial practitioners with a clear status of development of BIM research and the trend across the six continents of the world.

The purpose of this paper is to identify and assess the perceptions of constructional professionals on barriers to implementation of building information modeling (BIM) within the Nigerian construction industry.

A scoping literature review was conducted to identify the fourteen barriers to implementation of BIM, which were employed to design a questionnaire survey. Data collected were analyzed using descriptive statistics, mean score, Kruskal–Wallis test, analysis of variance and multivariate techniques such as factor analysis.

The descriptive and empirical analysis demonstrated a disparity of ranking of the 14 barriers factors among the groups; however no statistically significant differences among the 14 barriers to BIM. Based on the mean score ranking results, only three (out of 14) barriers are identified as critical (mean score greater than 3.5): few studies available on BIM and lack of knowledge, inexistence or inadequate government policies, and high cost of implementation. The results of the one-sample t-tests show that they were statistically significant differences in 10 out of 14 barriers as follows: few studies available on BIM and lack of knowledge, lack of demand for use and acceptance of BIM, inadequate contractual coordination, lack of specified standards, cost of data and information sharing, technological availability issues, reluctance of other stakeholders, business and cultural changes, data and intellectual property issues, and interoperability issues. The study, through factor analysis, categorized the fourteen barriers to BIM implementation into four principal factors. The factors are: technology and business-related barriers; training and people-related barriers; cost and standards-related barriers; and process and economic-related barriers.

The identification and assessment of the key barriers to BIM implementation would be useful for the construction professionals and other stakeholder of the construction industry with the view to advance BIM adoption in Nigeria. This could also be extended to other developing countries through considerations of the local economic conditions, given the status of BIM as being in the germinating stage of development in Africa.

The study provides insights on the barriers to BIM implementation across the Nigerian construction sector environments. The innovative aspect of the study is the identification of the ordered and grouped (composite) set of barriers to BIM which could be used to developing appropriate mitigating solutions.

The Nigerian construction industry, like in most emerging economies has been slow with technological advances such as building information modeling (BIM). More so, the application of BIM among Nigerian practitioners is rather limited to architects’ usage for schematic design and presentation of drawings. The purpose of this study is to enhance BIM’s uptake, this study explores the drivers for the implementation of BIM within the Nigerian construction industry.

An interpretivist epistemological design was adapted to extensively manually review and search the literature on BIM implementation drivers. Based on 14 drivers for BIM implementation drivers identified, a survey questionnaire was used to collect data from the Nigerian construction practitioners. The data obtained is then subjected to descriptive, inferential statistics and multivariate techniques such as factor analysis.

The study, through factor analysis, categorized the 14 drivers to BIM implementation into four principal factors. The factors are construction related-drivers; process digitalization and economic-related drivers; sustainability and efficiency-related drivers; and visualization and productivity-related drivers.

To effectively adopt BIM in the construction industry, it is necessary to identify the BIM implementing drivers, which can act as catalysts of change and, thus leading to sustained adoption of BIM. Therefore, the identified drivers and categorization of principal factors could provide managerial implications for better execution and adoption of BIM, as well as the creation of the required change for the BIM implementation.

The research provides insights into the implementation drivers of BIM in lesser studies in a developing country such as Nigeria. The study further contributes to this research sphere by using factor analysis to customize and contextualize the drivers that were previously identified.