Explore the vast range of titles available.

Purpose The purpose of this paper is to investigate the barriers that are constituting significant obstructions to preliminary and sustained BIM adoption in the South African construction industry. Design/methodology/approach Implementation Process Theory was used to develop the theoretical model of barriers to continuous and consistent BIM adoption. This enabled the formulation of two hypotheses, the identification of two sub-constructs (barriers to preliminary BIM adoption and barriers to sustained BIM adoption), and five variables (resources, knowledge, work process, organisational and planning barriers), which were validated using structural equation modelling (SEM). Findings The SEM results show pieces of evidence that validate the hypotheses in the theoretical model. The path analysis confirms that the two sub-constructs and five variables are statistically significant. Research limitations/implications This research extends the postulations on the barriers to BIM adoption by demonstrating that organisational challenges and planning difficulties constitute barriers to sustained BIM adoption in the South African construction industry. Practical implications The findings of this research are useful in understanding the planning scope and organisational requirements towards continuous and consistent BIM adoption in the South African construction industry. Originality/value The difficulties with BIM adoption are the issues with the performance of BIM on projects and are the major reason for the non-consistent adoption of BIM on projects. Having difficulties adopting BIM on projects suggests that BIM adoption is majorly on a preliminary or trial basis in the developing countries. This research tests this theory by proposing two types of BIM adoption and their associated barriers.

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Practical implications 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. Originality/value 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.

Strategic planning of building information modelling (BIM) adoption has become increasingly important, owing to the need to minimise BIM adoption risks, maximise BIM benefits and ensure successful BIM adoption. Our understanding of strategic planning of BIM adoption in a developing country is limited. Therefore, this study develops a framework for strategic BIM adoption on construction projects. The applicability of the framework was tested by using it to analyse the pattern of BIM adoption on construction projects in South Africa. The findings of the study demonstrate interrelationships between project milestones and deadlines, the extent of use of BIM software platforms used for the BIM-based construction projects (BBCPs) and the extent of collaboration on the BBCPs. The findings also confirm interrelationships between the regulatory system, the extent of use of BIM software platforms, the extent of collaboration and the extent of integration on the BBCPs. This research has shown that the strategic planning of BIM adoption enables the proper management of BIM tools and processes. The research has also provided practical guidelines for strategic planning of BIM adoption in developing countries.

Construction projects involve multidisciplinary and multi-actor collaborations that generate massive amounts of data over their lifecycle. Data are often sensitive and embody rights, ownership, and intellectual property of the creator. Managing project information raises concerns about security, inconsistency, and loss of data. Conventional approach of dealing with the complexities of data management involves the adoption of BIM-based solutions that lack suitable means for the governance of collaboration, and access and archival of managed data. To overcome the limitations of BIM, cloud-based governance solutions have been suggested as a way forward. However, there is a lack of understanding of construction Information and Communication Technology (ICT) practices from the perspectives of data management and governance. This paper aims to fill this gap: first, by exploring barriers related to BIM adoption and collaboration practices, in particular, issues related to data management and governance that can potentially be ameliorated with cloud technologies, and second, by identifying key requirements for cloud-based BIM governance solutions. A structured questionnaire was conducted among informed construction practitioners in this study. The findings reveal several barriers to BIM adoption alongside ICT and collaboration issues with an urgent need to develop a BIM governance solution underpinned by cloud technology. Further, a number of important requirements for developing BIM governance solutions have been identified.

PurposeSome BIM implementation strategies are critical, while others are insignificant and ineffective in terms of lowering BIM adoption obstacles and promoting widespread acceptance of BIM in projects. The BIM literature has not provided evidence to support this claim or identify the fundamental BIM implementation strategies. This study filled this gap by identifying and investigating the effect of fundamental BIM implementation methodologies on the occurrence of proportional impacts between stages.Design/methodology/approachThe findings indicate a positive and crucial relationship between the stages of the BIM implementation strategies and the reduction of barriers (r = 1.79, z = 2.15), preliminary and sustained BIM adoption barriers (r = 1.53, z = 60.83), BIM adoption on projects and BIM-enabled integration and collaboration (r = 0.7, z = 2.74). This validates the model's hypotheses and demonstrates that the fundamental BIM implementation strategies will accelerate the reduction of BIM adoption hurdles. The impact, however, will be the same for both sustained and preliminary barriers. This implies that lowering the obstacles alone will not secure BIM adoption.FindingsThe validation of the model's hypotheses demonstrated that the fundamental BIM implementation strategies will accelerate the reduction of BIM adoption hurdles. The impact, however, will be the same for both sustained and preliminary barriers. This implies that lowering BIM adoption obstacles alone will not secure BIM adoption. This study proposes that BIM deployment tactics be carefully chosen in order to remove preliminary impediments, reduce barriers and energise BIM acceptance.Research limitations/implicationsIn line with the findings of this study, BIM adoption must be consistent and long-term before the benefits in project execution become evident and substantiated. The BIM abilities of project participants, the feasibility of BIM conventions and the proficiency of BIM supervisors may all play a role in this.Practical implicationsThis research implies a few approaches and tactics for implementing BIM in an efficient and beneficial manner. The study's findings imply that BIM deployment tactics should be carefully chosen in order to remove preliminary impediments, reduce barriers and energise BIM acceptance. It also explains how to structure BIM implementation strategies in developing countries. Another significant practical implication is the model's conclusion on the benefits of BIM adoption.Originality/valueThis study emphasises the significance of understanding the interrelatedness between the stages of the BIM implementation process in order to promote unavoidable and high-quality BIM adoption, as well as identifying the essential strategies that will guide policymakers and industry players in improving and pursuing successful BIM implementation. This study adds to BIM implementation theories by providing new information on the models, stages and interconnections of the BIM implementation process. However, the study could not identify the factors that impede BIM adoption despite the reduction in barriers and use of fundamental BIM implementation strategies.

The purpose of this study is to investigate the critical BIM adoption strategies for public construction projects in developing countries to enhance successful BIM implementation schemes in the AEC industry. Initially, an empirical study was conducted using a structured questionnaire survey which is first validated though a pilot test. Then, the study investigated the discrepancy of professional groups on the perception of critical adoption strategies using different statistical tools. Further, factor analysis was conducted to identify potential latent factors associated with public construction projects. The result indicates that the top ranked BIM adoption strategies are strategic & adequate IT infrastructure, availability of standards and guidelines for BIM adoption, and government policy. Similarly, six latent constructs were developed from the factor analysis: organization, application & tools, market, information management, project, and process. The study highlighted critical strategies that are deemed most important to various professionals and business owners, in an effort to improve BIM adoption in the developing countries. The novelty of this study is in relation to BIM implementation strategies towards infrastructure construction projects in developing countries, particularly in the east African region. This paper can also be particularly beneficial to construction firms involved in public construction projects to facilitate the implementation of BIM in their own organizational nature. Moreover, the cross-country comparative analysis provides a global perspective to improve the gap in the understanding and adoption of BIM in the Sub-Saharan African region.

Purpose Building information modelling (BIM) is increasingly being adopted during construction projects. Design and construction practices are adjusting to the new system. BIM is intended to support the entire project life-cycle: the design and construction phases, and also facility management (FM). However, BIM-enabled FM remains in its infancy and has not yet reached its full potential. The purpose of this paper is to identify major aspects of BIM in order to derive a fully BIM-enabled FM process. Design/methodology/approach In total, 207 papers were classified into main and subordinate research areas for quantitative analysis. These findings were then used to conceptualise a BIM-enabled FM framework grounded by innovation diffusion theory for adoption, and for determining the path of future research. Findings Through an extensive literature review, the paper summarises many benefits and challenges. Major aspects of BIM are identified in order to describe a BIM-enabled FM implementation process grounded by innovation diffusion theory. The major research areas of the proposed framework include: planning and guidelines; value realisation; internal leadership and knowledge; procurement; FM; specific application areas; data capture techniques; data integration; knowledge management; and legal and policy impact. Each element is detailed and is supported by literature. Finally, gaps are highlighted for investigation in future research. Originality/value This paper systematically classifies and evaluates the existing research, thus contributing to the achievement of the ultimate vision of BIM-enabled FM. The proposed framework informs facility managers, and the BIM-enabled FM implementation process. Further, the holistic survey identifies gaps in the body of knowledge, revealing avenues for future research.

Purpose Building information modelling (BIM) has transformed the traditional practices of the Architecture, Engineering and Construction (AEC) industry. BIM creates a collaborative digital representation of built environment data. Competitive advantage can be achieved with collaborative project delivery and rich information modelling. Despite the abundant benefits, BIM’s adoption in the AEC is susceptible to confrontation. A substantial impediment to BIM adoption often cited is data interoperability. Other facets of interoperability got limited attention. Other academic areas, including information systems, discuss the interoperability construct ahead of data interoperability. These interoperability factors have yet to be surveyed in the AEC industry. This study aims to investigate the effect of interoperability factors on BIM adoption and develop a comprehensive BIM adoption model. Design/methodology/approach The theoretical foundations of the proposed model are based on the European interoperability framework (EIF) and technology, organization, environment framework (TOE). Quantitative data collection from construction firms is gathered. The model has been thoroughly examined and validated using partial least squares structural equation modelling in SmartPLS software. Findings The study’s findings indicate that relative advantage, top management support, government support, organizational readiness and regulation support are determinants of BIM adoption. Financial constraints, complexity, lack of technical interoperability, semantic interoperability, organizational interoperability and uncertainty are barriers to BIM adoption. However, compatibility, competitive pressure and legal interoperability do not affect BIM adoption. Practical implications Finally, this study provides recommendations containing the essential technological, organizational, environmental and interoperability factors that AEC stakeholders can address to enhance BIM adoption. Originality/value To the best of the authors’ knowledge, this paper is one of the first studies to combine TOE and EIF in a single research model. This research provides empirical evidence for using the proposed model as a guide to promoting BIM adoption. As a result, the highlighted determinants can assist organizations in developing and executing successful policies that support BIM adoption in the AEC industry.

Purpose - 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. Design/methodology/approach - 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. Findings - 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. Research limitations/implications - 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. Practical implications - 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. Originality/value - 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.

In recent years, building information modeling (BIM) has been receiving growing interest from the construction industry of China. Nevertheless, although BIM has many foreseeable advantages, many studies claimed that these advantages have not been sufficiently achieved in practice at the current stage. In this circumstance, it is interesting to investigate what really drives the adoption of BIM. Based on Ajzen’s theory of planned behavior (TPB), a hypothetical model which involves nine latent variables is initially established. Then, a questionnaire is designed and distributed to the construction professionals in the Chinese context. After reliability and validity analysis, the goodness-of-fit of the initial model and the related theoretical assumptions are tested through structural equation modeling (SEM). Based on the modification indicators, a modified model is finally derived. Results show that economic viability and governmental supervision are the most critical factors that influence construction professionals’ BIM adoption behavior in China, sharing weights of 0.37 and 0.34, respectively, whereas other factors play limited roles in this regard. The research findings revealed from this study can provide insightful references for countries that intend to promote BIM adoption in a similar circumstance.