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Widespread efforts to promote the use of building information modelling (BIM) as part of the construction industry transformation agenda in many advanced countries are yet to reach the wished-for effects. While there are various studies on the factors influencing BIM adoption, empirical evidence detailing how construction companies can successfully adopt BIM in their organisations remains scarce. This paper identifies and describes how enabling factors are implemented by large UK contractor firms to transform their organisations using BIM for projects.

A qualitative exploratory approach is employed in this paper. Data are gathered through 42 semi-structured interviews with professionals in strategic and management roles in construction companies in the UK, followed by case studies of five leading main contractor companies selected to provide examples of how they implemented the identified enablers.

This research identifies and describes six key enabling factors that influence successful BIM adoption and implementation, namely, committed leadership and management; a digital transformation strategy with realistic objectives; building a capable supplier network; building trust-based relationships with clients; upskilling employees; and establishing a robust structure for effective collaboration and communication.

Nine practical recommendations are provided to guide construction firms in taking steps to adopt and use BIM in their organisations and for their projects.

This study provides empirical evidence detailing how key enablers are implemented towards successful BIM adoption and use by large UK contractors.

As a pillar of integrated digital delivery (IDD), building information modeling demonstrates the tremendous potential to enhance productivity for the architectural, engineering and construction (AEC) industry worldwide. However, the implementation of digital solutions presents numerous challenges related to its adoption and implementation. Distinguishing a comprehensive set of critical factors can facilitate the construction professionals to execute their strategies in a properly planned manner, thus augmenting the possibilities of successfully implementing BIM in their organization. This study aims to identify critical success factors (CSFs) for BIM adoption and implementation in Singapore.

This study adopted structured empirical questionnaire survey. Relevant data were collected from the various stakeholders in Singapore AEC industry through an online survey questionnaire. Furthermore, data analysis was done using SPSS Statistics software in order to identify the key factors (KFs) based on which the CSFs were derived for BIM adoption and implementation during the construction phase.

From a set of 45 influencing factors, 35 KFs were derived after performing ranking analysis, from which a set of 26 CSFs were finally obtained based on the factor analysis methodology.

This study has identified the CSFs of BIM adoption in Singapore, as well as in the builders' perspective on how to enhance the digitalization in construction projects.

There has been a growing attention to building information modeling (BIM) globally due to its benefits to various stages of a building’s life cycle. To facilitate the implementation of BIM in the construction industry effectively, the purpose of this paper is to gain a better understanding of the mechanism for BIM adoption by practitioners such as architects.

A questionnaire survey of architects is conducted in Shenzhen, China. A structural equation model is built with survey data to identify the key factors affecting architects’ BIM adoption in the design firms.

It is found that motivation, technical defects of BIM and BIM capability are the statistically significant factors affecting architects’ BIM adoption whereas management support and knowledge structure are not.

Only one architectural, engineering and construction (AEC) profession, i.e. architects were selected as research participants. In future, other professions such as construction engineers, project managers, etc. should be investigated with respect to their BIM adoption issues.

BIM technology developers should improve the technology along the objectives of economic benefits, effectiveness and efficiency of BIM adoption. The compatibility and integration between BIM and other widely available software in the industry should also be improved. Moreover, AEC company and project managers should provide architects with opportunities of BIM training so that architects are more likely to apply BIM in future projects.

A quantitative theoretical model, i.e. structural equation model is built to identify key factors affecting architects’ BIM adoption, which takes one step further to reveal the BIM adoption mechanism in contrast to previous descriptive-oriented studies.

The purpose of this paper is to study the radical innovation process behind the adoption and implementation of building information modelling (BIM) for a specialty contracting small or medium enterprise (SME). This paper offers two distinct perspectives on BIM adoption and implementation, which are underrepresented in the current literature: the SME perspective and the specialty contractor perspective. It also attempts to bridge the gap between the growing literature on BIM adoption and implementation and the established literature on innovation by developing the notion of embedded contexts in the innovation process.

A mixed-method, longitudinal case study approach was used in this research project to study the evolution of the innovation process and its impact on the Organisation over time. The objectives of this research were to investigate and document the different factors mediating the BIM adoption and implementation process for the Organisation across various contexts, the mechanisms put in place to facilitate this process and the perceived impact within the Organisation.

The initial transition to BIM represented a radical innovation for the Organisation. Subsequently, a series of incremental innovations took place to further advance the Organisation’s BIM capabilities. This innovation process is influenced by different layers of embedded contextual factors, which can be mitigated by, among others, a clear strategic approach towards the innovation process. Furthermore, despite a limited sphere of influence, specialty contractors can leverage BIM within their own supply chain to reap significant benefits.

This paper offers an in-depth study of radical innovation within a specialty contracting SME. This study discusses the influence of four embedded contexts on innovation for a specialty contracting SME: the industry context, the institutional context, the organisational context and the project context. It also offers insight into the factors, mechanisms and their impact on the innovation process.

The construction industry has been evolving in recent years through the adoption of smart tools such as building information modeling to reduce the complexity in the construction process and optimize the project's goals. This paper aims to identify and assess the key drivers for the implementation of smart sustainable practices in the construction industry.

Inferential and descriptive statistical techniques were employed in analyzing the data collected via an international empirical questionnaire survey deployed in soliciting the perceptions of 220 construction professionals across 21 countries. Factor analysis was used to categorize the identified key drivers into their underlying clusters for further discussion. Also, the data were analyzed based on the various groups and regions of the study's respondents.

The key drivers (KDs) are related to the technical competence of staff as well as knowledge and awareness level within the industry, issues related to organizational and project's strategy and policies, availability of financial resources and development of relevant standards and policies to aid its execution among others. A comparative analysis of the perceptions of the different respondents' groups was undertaken and discussed.

The analysis of the key drivers for the implementation of smart and sustainable practices in the construction industry is expected to aid the decision-making of the relevant stakeholders as well as serve as a consultation instrument for government agencies in their design of localized policies and guidelines to aid smart and sustainable urbanization. The findings revealed the gaps in the implementation of smart and sustainable practices in various climes and organization setups and provided useful and practical strategies for addressing the current hindrances during implementation.

The study has generated valuable insights into the significant drivers that can enhance the implementation of smart and sustainable practices across regions. It is evident that synergy among the relevant stakeholders in the built environment will help accelerate the implementation of smart sustainable practices in the construction industry. The study findings have provided profound contributions to theory and research as well as to industry practice.

The purpose of this paper is to develop a hybrid conceptual model for building information modelling (BIM) adoption in facilities management (FM) through the integration of the technology task fit (TTF) and the unified theory of acceptance and use of technology (UTAUT) theories. The study also aims to identify the influence factors of BIM adoption and usage in FM and identify gaps in the existing literature and to provide a holistic picture of recent research in technology acceptance and adoption in the construction industry and FM sector.

The research methodology was to first review the literature to determine how users come to accept new technologies and what leads to adoption of BIM in the construction industry and in FM and to identify gaps as the starting point for developing a conceptual framework for greater adoption of BIM in FM. Using the results from the literature review, the conceptual framework for BIM adoption in FM has been formulated.

The resulting model of the current research is expected to improve our understanding of the acceptance and adoption of BIM by FM.

The research hypotheses need to be tested for validation. Future works includes survey and experts’ interviews for model validation.

This paper fulfils an identified need to study how FM come to accept and adopt BIM through the integration of TTF and UTAUT.

This study aims to identify the enabling factors for Building Information Modeling (BIM) adoption in Vietnamese construction enterprises and uncover their interrelationships. This will help stakeholders focus on controlling and allocating resources (time, personnel, and costs) appropriately to adopt BIM and differentiate themselves from fierce competition in the architectural, engineering, construction and operations (AECO) industry.

This study first identifies and evaluates 32 enabling factors for applying BIM in the Vietnamese construction industry according to the TOE extended framework. Afterwards, a hybrid questionnaire survey using a convenient sampling method is conducted to capture stakeholders' views. The exploratory factor analysis (EFA) and the partial least squares structural equation modelling (PLS-SEM) technique are then applied to identify the constructs of the enabling factors and their interrelationships.

The study extracts six constructs that could have a significant impact on the adoption of BIM in construction enterprises, namely: technical feasibility (TF), human resources and management (HRM), company business vision (CBV), political environment (PE), economic viability (EV), and legal aspects (LA). Based on eleven proposed hypotheses, the analysis results confirm nine hypotheses and show that the HRM, TF, and CBV have the strongest effects on managers in evaluating the factors for BIM.

The results of the study fill the gap in knowledge by discovering the interrelationships among the enabling factors for BIM adoption in construction enterprises. The results might support the construction enterprises and their stakeholders in increasing the application of BIM, and digital transformation in construction industry.

In New Zealand, building information modelling (BIM) prevalence is still in its early stages and faces many challenges. This research aims to develop a BIM adoption framework to determine the key factors affecting the success of a BIM project.

Both primary and secondary data were employed in this research, including 21 semi-structured interviews and industry guidelines from the three most well-known global building excellence models (BEMs). The data were analysed through content analysis due to its recognised benefits as a transparent and reliable approach.

Leadership, clients and other stakeholders, strategic planning, people, resources, process and results were identified as seven main categories along with 39 indicators in the BIM adoption framework. Based on the interviewees' perspectives, leadership is considered the most significant category, impacting all of the remaining categories.

Using the developed framework will enhance comprehension of BIM, offering directives for those embracing BIM. This will aid construction stakeholders in being better equipped for BIM projects. Having a skilled BIM manager can lead to the success of construction projects.

This research contributed to the existing body of knowledge by providing the categories with specific factors that assist BIM practitioners in assessing their BIM performance for further BIM practice improvement.

Built environment organisations face global challenges between business units, especially since the coronavirus pandemic (COVID-19) has profoundly disrupted the construction industry worldwide, including the management of construction megaprojects (CMPs). This research aims to develop a competency framework, for global integrated delivery (GID) transformative initiatives and future of work (FOW) global initiatives, to manage integration between lean construction (LC) practices and integrated project delivery (IPD) on CMPs in contemporary multinational engineering organisations.

“Mixed research methods” involves a two-stage quantitative and qualitative research approach. In the context of CMPs, stage one consisted of a qualitative research methodology comprising a literature review to examine competencies, COVID-19 impacts, responses and key drivers (KDs) to integrate LeanIPD&GID; stage one outcomes propose a conceptualisation of LeanIPD&GID, a competency framework and future of work (FOW) global initiatives. Stage two involved an empirical questionnaire survey for a set of 30 KDs arranged into five-factor clusters (FCs), 226 respondents from 23 countries with an extensive cosmopolitan experience; analysis adopted structural equation modelling (SEM), descriptive and inferential statistics, percentage scoring analysis, principal component analysis (PCA) and eigenvalues.

In the context of CMPs, stage one outcomes delivered a conceptualisation of LeanIPD&GID, a proposed competency framework and FOW global initiatives. Stage two concluded that the most significant KDs are “collaboration in design, construction works and engineering management,” “coordination and planning of construction work,” “senior organisational management support,” “boosting implementation of LC, and integrating project delivery” and “earlier and precise 3D visualisation of designs”. building information modelling (BIM) adoption in the MENA region is higher than LC; the second is still taking its first steps, while IPD has little implementation. LeanBIM is slightly integrated, while LeanIPD integration is almost not present.

The research findings, conceptualised LeanIPD&GID principles, a proposed competency framework and FOW global initiatives, provided future research streams and directions; the study has provided a competency framework and FOW global initiatives for effective practical strategies for enhancing integration of LeanIPD&GID transformative initiatives on CMPs and will allow project key stakeholders to place emphasis on boosting LeanIPD&GID KDs.

Building information modelling (BIM) has been established in the literature as a successful platform that creates an intelligent virtual model for processing data from conceptual design through construction to operational stage of a facility. However, its adoption for facilities management (FM) provision in Nigeria has been slow due to inherent barriers. The aim of this paper is to (1) assess and categorise using factor analysis BIM for FM barriers and (2) model the barriers using stakeholders' personal/professional attributes.

Anchored on quantitative research design, 205 copies of structured questionnaire were distributed to key stakeholders and facilities managers in Nigeria's three strategic cities while 135 valid responses were received giving a response rate of 65.8%. Data collected were analysed using descriptive statistics while multiple regression analysis was used to model the barriers. Kruskal Wallis test was used to test the only hypothesis postulated for the study.

The study established lack of awareness of BIM for FM, poor supporting infrastructure for Internet services, and lack of education and training as the top three rated barriers militating against adoption of BIM for FM in Nigeria while corruption, widespread mistakes and errors and cultural issues were established as the three least rated barriers. Besides, findings also established eight underlying factors that explained 23 barrier factors used for the study which were subsequently used to develop eight regression models. In effect, gender, professional affiliation, organisation, experience, education, expertise, BIM for FM project type, and location were found to statistically predict the 8 extracted factors driving perceived barriers of BIM for FM adoption in Nigeria.

The study has provided a framework of barrier factors to help stakeholders identify specific barriers for which appropriate measures can be taken to ameliorate consequences of the perceived barriers. Meanwhile, an improved and rejuvenated advocacy on inherent benefits of BIM for facilities management by frontline stakeholders could potentially steer up interests and increased participation of stakeholders on BIM for FM.

The unique study developed the first ever regression model that links BIM for FM barriers to professional attributes of facilities management stakeholders in Nigeria.