Search results

Because BIM adoption is still afflicted by various types of hurdles, a complete BIM implementation model is required to provide the necessary methods for driving BIM adoption. As a result, this study looked into the parts of the BIM implementation model that had the most impact on increasing the percentage of BIM adoption in South Africa.

This study developed a four-wheel model of BIM implementation based on implementation process theory, which includes BIM inspiration, BIM capacity development, BIM use and BIM commitment. To assess BIM capacity development, two sub-constructs (BIM learning process and BIM learning methodologies) were used. Two sub-constructs were used to assess BIM utilisation (efficient BIM application and effective BIM application). The sub-constructs employed to quantify BIM motivation were organisational competitiveness, societal conformity and contractual obligations. Incentives, investments and obligations were used to assess BIM commitment. The model was validated using four assumptions and maximum likelihood estimation – structural equation modelling (MLE-SEM).

The MLE-SEM results demonstrated unequivocally that all of the constructions are critical components of the BIM deployment paradigm in the South African construction industry. BIM motivation, as characterised by organisational competitiveness and social compliance, has the greatest impact. The findings on BIM motivation also revealed that the desire for technological sophistication, competitiveness and social acceptance by clients are encouraging construction organisations and professionals to embrace BIM adoption.

This study's findings have contributed to the increasing body of literature on BIM deployment. The study has significant implications for achieving BIM implementation in underdeveloped nations where BIM deployment is either non-existent or in its early stages. The theoretical component of the study serves as the foundation for further analysis of BIM deployment.

This research is important for identifying BIM goals, developing a BIM implementation framework, allocating resources for BIM implementation and defining key performance indicators for BIM implementation. The BIM implementation aspects outlined in this study will be effective in lowering BIM adoption hurdles.

This study makes a unique contribution to BIM research by providing theoretical and empirical analysis into the elements of the BIM implementation model in a developing country. The study offers an excellent opportunity to further our understanding of BIM application in underdeveloped nations.

Some 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.

The 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.

The 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.

In 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.

This 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.

This 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.

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.

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.

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.

Finally, this study provides recommendations containing the essential technological, organizational, environmental and interoperability factors that AEC stakeholders can address to enhance BIM adoption.

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.

The purpose of this paper is to present a model for building information modelling (BIM) implementation at small and medium-sized construction contractor organisations (SMOs). The proposed BIM adoption model assesses BIM implementation benefits, costs and challenges faced by SMOs. Correlation between BIM adoption in SMOs and the associated impacting factors, including knowledge support and BIM adoption motivation, is captured through the model.

A literature review of BIM adoption in construction was first presented. Research data, collected from 80 SMOs in Australia through a conducted survey, are then analysed. Descriptive analysis and structural equation modelling were used to investigate SMOs’ understanding of BIM, and to qualify the correlations among the proposed latent variables impacting BIM implementation at SMOs, respectively. Additionally, this study used χ² test to compare differences between BIM users and non-BIM users regarding BIM understanding, interested applications and attitudes towards implementation benefits and challenges.

Potential benefits associated with BIM implementation are a major motivation factor when it comes to BIM adoption at SMOs. In addition, existing staff’s capability in using BIM tools positively affects the establishment of an organisational knowledge-support system, which determines the decision of adopting BIM eventually. Ultimately, there is a need for further emphasis on staff engagement in the implementation process.

The results presented in this paper are applicable to SMOs in the building sector of construction. BIM implementation at organisations involved in non-building activities, including civil works and infrastructure, needs to be assessed in the future.

The results indicate that rather than placing the focus mainly on benefits of BIM implementation, successful implementation of BIM in practice requires adequate effort to assess implementation problems, establish knowledge support and engage staff in using BIM.

Results of this study provide an insight into the adoption challenges of BIM in SMOs, given that the focus of previous studies has been mostly placed on BIM adoption in architectural firms and large contractors.

This study aims to establish an adoption model using Structural Equation Modeling (SEM) that examines the relationship between several key indicators that drive building information modeling (BIM) adoption.

The study was carried out using quantitative approaches through the Delphi method and questionnaire survey. A total of 272 completed responses were collected and analyzed through the SEM technique using SPSS 25 and AMOS software.

The structural model shows that “environment” and partially “people” indicators are the leading indicators driving BIM adoption with path coefficient values of 0.280 and 0.332, respectively.

It is expected that these conclusions will lead the Bahraini construction industry stakeholders to raise the level of BIM adoption.

The causal relationships between factors related to building information modelling (BIM) adoption in the Thai architectural and engineering design industry are presented. A model is proposed to explain and forecast the adoption behaviours in the industry. This paper aims to define and compare policies for the adoption of BIM using a company case study.

The system dynamics (SD) approach was used. Four companies were selected as case studies for formulating a causal loop diagram. One of the companies was chosen for collecting the quantitative data for the SD model simulation during a ten-month study period. Tests of model validation were conducted for confirmation of, and confidence in, the model.

An SD model was formulated for studying BIM adoption. Four policies of BIM adoption were defined to compare with the normal operating business for the company and used as the case study. The quantitative outputs of the SD model revealed that BIM training was the best choice to optimise company performance.

The case studies comprised architectural and engineering design companies in Thailand; therefore, the findings may not be generalisable to other Thai construction organisations or to other countries.

The methodology and findings can be used as guidelines for other organisations or countries that are considering BIM adoption to improve their operations.

The paper highlights the optimum policy for BIM adoption to achieve efficient and effective 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.

This paper studies the critical factors from the perspectives of technological quality, personal compatibility and organisational commitment using the technological adoption framework (TAF). The proposed TAF studies the critical factors that influence the intention to use building information modelling (BIM) taking into consideration of the “Perceived Ease of Use (PEU)” and “Perceive Usefulness (PU).”

The proposed study is a quantitative research study using the TAF model and the statistical analysis using “Partial Least Squares-Structural Equation Modelling (PLS-SEM).” The questionnaires are developed based on the literature review study and disseminated to the stakeholders in the Malaysian construction industry, including consultants, contractors, and clients. The data collected are analysed using PLS-SEM to identify the correlation between the critical factors influencing BIM adoption and the moderation influence of the PEU and PU towards the “Intention to Use (IU)” BIM.

The data collected from 185 construction industry stakeholders in Malaysia was utilised to develop the structural equation model. The measurement model was analysed in terms of composite reliability, discriminant validity, and collinearity issues. Subsequently, the SEM is analysed, and the findings on the hypothesis on the correlation between the critical factors and the intention to use BIM are examined. The study also examines the mediation effects of the PEU and PU towards the BIM adoption in the Malaysian construction industry.

This research conceptual framework, TAF, is derived from the integration of the existing underpinning theories of the technological adoption model and the technology–organisation–environment framework. This new TAF can be used for the study of new technology adoption. This cross-sectional research study is in line with the “Construction 4.0 Strategic Plan” in Malaysia to establish the current BIM adoption scenario and formulate the framework to promote incentives to promote BIM adoption.

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.