Search results

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.

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.

This study aims to investigate the drivers influencing the adoption of building information modelling (BIM) for post-construction management in the architecture, engineering, construction and operations (AECO) industry, specifically focusing on International Facility Management Association (IFMA) registered professionals in Abuja, Nigeria.

A quantitative approach was employed, using a purposive sampling technique. In total, 132 valid responses were analysed using statistical tools such as Cronbach’s alpha, mean, one sample t-test, Kruskal–Wallis, factor and correction analysis.

Result shows that flexibility among industry stakeholders towards adopting new technology and safety/emergency management are the most critical drivers. All the identified drivers were significant (p < 0.05). Kruskal–Wallis’s analysis shows that professionals have similar opinions on the BIM drivers. Factor analysis categorises the drivers into seven components: availability and usage of software, increased efficiency, improved performance, safety and resources, change in method of operation, improved profitability and government intervention. Positive correlations connect BIM software availability with efficiency, performance, safety, resource management, operational changes, profitability and government support.

One limitation of this study is the focus on a specific group of professionals in Abuja, which may limit the generalisability of findings to the broader Nigerian AECO industry. Future research should consider a more diverse sample. In addition, qualitative research methods could provide deeper insights into the qualitative aspects of BIM adoption.

This research contributes to the existing body of knowledge by providing empirical evidence of the drivers influencing BIM adoption in the post-construction phase, particularly in Nigeria.

Building Information modelling (BIM) has the potential to significantly minimise the quantity of construction waste (CW), but its adoption is low in construction waste management (CWM). This study examined the factors impeding the adoption of BIM in CWM efforts at the design and precontract stages from the perspective of construction stakeholders in Nigeria.

The study was informed by a post-positivism philosophical stance, which involved using the structured questionnaire as a quantitative research design tool for data collection via snowball sampling technique. The data garnered from construction experts were analysed using Cronbach’s alpha test, normalities test, Frequency, Percentage, Kendall’s coefficient of concordance and Chi-square tests, Analysis of variance (ANOVA), and exploratory factors analysis (EFA).

The study concluded that the awareness of BIM potential for CWM is high, but the adoption in waste management (WM) is low. The factor analysis reduced the twenty assessed factors into four key clusters of impediments to BIM adoption in CWM: (1) knowledge and resistance barriers, (2) support and interest barriers, (3) interoperability and experts' factors, and (4) economic barriers. These factors are critical impediments to BIM-enabled CWM at the design and precontract stage, and there was no significant statistical difference in their rating by the construction stakeholders in Nigeria.

Studies on the impediments to BIM adoption in CWM efforts, primarily at the design and pre-contract stages in emerging countries are scarce. This sought to fill this literature gap by establishing the critical impediments that should be overcome to improve BIM use in CWM.

While efficient design in engineering projects is crucial, this paper aims to examine the integration of Building Information Modeling (BIM) into railway Intelligent Transportation Systems (ITS). The paper provides some key understanding of integrating BIM and ITS to improve the efficiency of railway infrastructure projects.

An in-depth qualitative analysis of three ITS case studies was conducted to understand BIM’s global impact and benefits in railway infrastructure projects. While case study one investigated the Crossrail (UK), the other two case studies were TUC Rail (Belgium) and the Intercity railway network (Norway).

The findings include the specific benefits of BIM, regarding the railway infrastructure. The result indicated that BIM benefits were consistently the same across all case studies. Although Case study 1 was the only one that boasts a high reduction in waste and reworks, all of the case studies showed less rework and delays due to BIM. The results indicated that the advantages of BIM for such projects are cost optimization, reduction in waste, rework and lessening delays. Subsequently, this leads to the ease and efficiency with which structures and railways can be built. The outcomes can ultimately assist transportation planners in better planning and managing railway projects.

This study proposes the integration of BIM into railway projects as a part of their ITS. The BIM integration into railway projects as a part of their ITS fits within the overall planning to handover phases. Specifically, the BIM integration improves the design process of typical railway projects. Thus, the most significant advantage of BIM for railway projects is to further improve their design process leading to a higher degree of constructability.

Railway infrastructure performs a major role in economic and regional development. The complexity of railway projects continues to increase as the need for more railway infrastructure is on the rise globally. BIM is proving to be an effective tool for improving the efficiency of railway infrastructure projects. As the utilization of BIM is intensifying, the railway industry can further exploit BIM to improve project delivery adeptness by offering greater collaboration leading to efficient design processes. As a result, the understanding of BIM for horizontal projects such as railway infrastructure on a global scale is a substantial exercise that this research aims to respond to.

This paper presents a set of instrumental case studies for the context-based learning of BIM in the milieu of knowledge-based practice in the AEC industry. The study aimed to examine students' actions and perspectives in a simulated learning environment for real-world BIM processes. The core intent was to provide an in-depth understanding of strategic and functional BIM implementation by synthesizing a suggestive pedagogical framework based on context-based learning approaches.

Derived from context-based approaches and experiential learning methods such as role-play, problem-based and active learning, the study involved a set of doctoral-level case studies. In a qualitative research study, these cases were devised and organized around industry-focused simulations on various levels of BIM implementation strategies.

Results from the case studies and the student responses suggest that the comprehensive evaluation of real-world BIM implementation simulations facilitates a solid understanding of the value of BIM. The participation of industry professionals catalyzes the development of strategic and functional BIM competencies.

The study proposes a well-structured and replicable BIM learning framework based on context-based learning approaches. The novel framework is adaptive and flexible for BIM education. It can provide students with the necessary skills, strategic vision and professional competencies for innovative practices in the 21st-century AEC Industry. The simulative learning settings, including the evaluation rubrics and connected instructional methods, can be implemented and further developed for similar education efforts.

The primary objective of this study is to analyze the correlation between the application of building information modeling (BIM), the construction project success (CPS) and project control. Additionally, this research aims to explore the potential mediating effect of project control on the link between BIM and construction project success in the Malaysian construction industry.

The present study employs a quantitative research methodology and adheres to a positivist research philosophy in order to examine the influence of BIM implementation on the CPS and project control within the Malaysian construction sector. The data were collected by structured questionnaire survey from 200 respondents using a purposive sampling strategy, and the results were analyzed by using partial least square (PLS)-structural equation modeling (SEM). The study's findings are all the more noteworthy since, despite the small sample size, 218 persons genuinely participated thanks to the purposive sampling approach.

The findings of this study indicate that there are notable and positive associations between various variables related to the implementation of BIM. These variables include accurate quantities and estimations, risk management, facility management integration, optimized resource allocation and real-time monitoring. Furthermore, these relationships are observed to have a significant impact on both CPS and project control. The study revealed that project control serves as a mediator in the relationship between the deployment of BIM and the CPS in the Malaysian construction sector, with the exception of its influence on risk management.

The originality of this research consists in examining the mediating function of project control in the relationship between BIM implementation and CPS. This study contributes to the existing knowledge by enhancing our understanding of the processes via which BIM positively influences project outcomes.

In recent years, augmented reality (AR) has shown its potential to assist various construction activities. Its use commonly requires additional refinement to be integrated into the building information modeling (BIM) process. Nevertheless, few studies have investigated AR implementation in BIM-enabled projects because of numerous challenges related to its implementation. This study aims to investigate the implementation of AR in construction and identify the critical mechanisms for implementing BIM-AR successfully.

A mixed methodology was adopted for this study. First, this work presents a bibliometric analysis covering articles obtained from Scopus database published between 2000 and 2022. A sample size of 65 research papers pertinent to AR in construction was analyzed using VOSviewer software. Second, a participatory case study was conducted for a BIM-enabled project in China to gain insight into how BIM-AR implementation in construction is achieved.

The findings from the bibliometric analysis show an increasing interest in AR research within construction. The results indicate that AR research focuses on four clusters: real-time communication, project management, construction activities and education. Findings from the case study provide an empirical experience of AR application scenarios in a BIM-enabled project. Concomitantly, 15 critical success factors that influence BIM-AR implementation were finally identified and demonstrated.

This study provides a rich insight into the understanding and awareness of implementing AR. First, the findings are beneficial to construction practitioners and researchers because they provide a concentrated perspective of AR for emerging activities in the construction industry. Second, the results obtained from the case study could provide a useful guide for effectively implementing AR in a BIM-enabled construction project. Overall, this study may stimulate further research on AR-related studies in construction, such as BIM integration, factor analysis and construction education.

Building information modeling (BIM) is a popular technology in modern construction, but its implementation faces numerous difficulties, which are known as problematic issues of BIM implementation (PIBIs). This study aims to identify and analyze PIBIs based on the perceptions of practitioners in Vietnamese BIM-implemented construction contractors and similar BIM adoption-level countries.

The research is conducted in three stages. After a comprehensive literature review, PIBIs are identified and ranked based on the Delphi method and questionnaire survey. Next, interpretive structural modeling (ISM) is used to provide a hierarchy of system PIBIs. Finally, the driving and dependence power of PIBIs are determined using Fuzzy-Matrice d'Impacts Croisés-Multiplication Appliquée à un Classement (MICMAC) analysis.

This study evaluates 32 PIBIs for small and medium contractors (SMCs) and 28 PIBIs for large contractors (LCs) in Vietnam. This study also develops a systematic framework for contextual relationships and analyzes the relationships among PIBIs using ISM-Fuzzy MICMAC analysis. The results show that different standards or techniques, modeling software limitations and information management significantly impacted LCs, while a lack of senior leadership support and incompatible software affected SMCs, causing other PIBIs.

This study is among the first attempts to investigate the problematic issues emerging during the BIM implementation process at the organizational level in Vietnam as well as other developing countries. The study results could be considered valuable references for BIM practitioners. Furthermore, this knowledge can enable contractors to avoid problems while adopting BIM, thereby increasing their ability to implement BIM successfully and using critical resources more efficiently.

Cost overruns are an inevitable issue in design and build (D&B) projects. In D&B projects, causes for cost overruns can be managed by adopting appropriate building information modelling (BIM) functions. Because there is a research gap in synergy between the use of BIM for mitigating cost overruns in D&B projects, this study aims to evaluate the adaptability of BIM to manage cost overrun issues in them.

Research objectives were attained through a quantitative research approach adopting the Delphi technique, which consists of three rounds of a questionnaire survey. Through statistical tools, the collected data were analysed.

This research revealed the ten most crucial causes for cost overruns in D&B projects, where continuous changes in designs and drawings are the top causes. Change and revision management and interoperability are the most crucial BIM functions to address the aforementioned cause. Subsequently, 16 enablers, 26 barriers and 19 strategies to implement BIM to manage the identified significant causes of cost overruns were overviewed.

This study addresses the literature gap pertaining to the cost overrun in D&B projects and the application of BIM by studying the causes for cost overrun, suggesting BIM functions to mitigate the above cause. Moreover, this study assessed the probable barriers and enablers for BIM adoption in construction projects from D&B perspective.