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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 an attempt to attain a better understanding of the research work on building information modeling (BIM) adoption, this study aims to examine the criticality of BIM adoption barriers in the Middle East and North Africa (MENA) developing countries from the lens of the sociotechnical theory. Further, the study investigates the differences in the perceptions of various constructions players (owners, contractors and designers) to BIM barriers, as well as possible discrepancies in the perception of BIM users and non-BIM users to the significance of the perceived constraints.

To reach this aim, the study starts with a systematic evaluation and a critical review of the literature on BIM barriers. A set of 22 BIM adoption limitations was drawn from the literature which was used to design the survey. To capture a broad perception, a mixed approach was used, and data were collected through an interview study and a survey involving Architecture, Engineering and Construction professionals in the MENA construction sector. The collected data were analyzed using the mean score, standard deviation and nonparametric tests. The further principal component analysis (PCA) grouped the barriers to uncover the latent factors of BIM barriers.

The actors ranked the barriers as follows: lack of knowledge and BIM awareness, commercial issues and investment cost, lack of skills and BIM specialist, interoperability and lack of client demand. The examination of the PCA resulted in four underlying BIM limitation factors namely: human, technological, structural and financial. The analysis of the ranking indicated that 16 of the 22 barriers are considered critical in the MENA area. The results of the Mann–Whitney test indicated that there is a statistically significant difference in perceptions of BIM users and nonuser for seven barriers, pointing out that users care most about the financial barriers; however, nonusers are mostly concerned with structural and technological barriers. However, the results of the Kruskal–Wallis test indicated that there is no statistically significant difference in the perceptions of the three categories of stakeholders in ranking all BIM barriers.

The outcomes will back policymakers and construction participants with the knowledge to develop policy propositions that can positively affect BIM adoption in the construction industry. The significance of this study lies in being one of the very first explorative investigations that comparatively and empirically explored BIM adoption barriers across the whole MENA developing countries.

While several research studies have examined BIM adoption barriers in various countries, none to the best of the authors' knowledge have attempted to study the whole MENA region as one entity, and none highlighted the impact of user's roles on their perception of adoption barriers within their community. The results contribute to the discussion of the relationship among practitioners' level of involvement in BIM projects and their perception of adoption barriers which is underrepresented in extant studies. The above can assist with prioritizing the barriers that are considered to be more significant given the characteristics of the community under study. The result revealed the value of the structural and human attributes in prioritizing BIM adoption barriers within the MENA construction industry.

Building information modeling (BIM) is a process of creating an intelligent virtual model integrating project data from design to construction and operation. BIM models enhance the process of communicating the progress of construction to stakeholders and facilitate integrated project delivery, coordination and clash detection. However, barriers within the construction industry in Ethiopia has led to slow BIM adoption in the country. The aim of this paper is to identify perceived BIM barriers, provide a platform to quantify their importance and develop a regression model to link individual's personal/professional attributes to their perception of BIM barrier.

To address the objectives of this research, an online survey was developed to collect feedback from construction professionals in Ethiopia on 20 major adoption barriers extracted from a thorough review of literature. Relative importance index and strength of consensus metric were employed to identify the significance of barriers. This was then succeeded by performing exploratory factor analysis to determine the major constructs of BIM barriers which was then used to develop a multivariate regression model linking respondents' personal attributes to their perception of BIM barrier.

Results revealed the importance of project complexity and BIM maturity level in prioritizing barriers that are more relevant under various contexts. More specifically, results indicated the following study highlights: Project complexity led to higher perceived weights for lack of appropriate physical/cloud infrastructures, and a BIM standard. Higher levels of BIM maturity signified the importance of BIM internal issues such as liability, licensing and maintenance issues among other adoption barriers. Female participants tended not to consider intangibility of BIM benefits as a major barrier towards BIM adoption compared to male participants. Age of the participants turned out to be the least important factor in their prioritization of BIM perceived adoption barriers.

While many research studies have explored BIM adoption barriers in various countries around the world, none to the best of the authors' knowledge have attempted to develop a model to highlight the impact of individuals' personal/professional attributes on their perception of adoption barriers within their community which can help with prioritizing the barriers that are deemed to be more important given the characteristics of the community under study. Our result indicated the importance of BIM maturity level and project complexity in prioritizing barriers associated with BIM adoption within Ethiopia's construction industry.

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.

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).

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.

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.

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.

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.

Despite successfully adopting building information modelling (BIM) for design and construction, its adoption in post-construction is critically lagging. This study aims to investigate the adoption of BIM for post-construction in Nigeria. Specifically, it aims to investigate the barriers hindering BIM adoption, propose strategies to facilitate its integration into the post-construction phase and examine the relationship between the barriers and strategies towards adopting BIM for post-construction.

This study employs a quantitative approach to gather numerical data on BIM perceived barriers among International Facility Management Association (IFMA) members. The study also develops strategies from an extensive literature review and combines them with insights from preliminary investigation. The data were analysed using descriptive and inferential statistics.

The top perceived barriers among the professionals are lack of BIM awareness, software availability issues and difficulties using new technologies. Institute training/workshops on BIM software for the professionals in the organisation, including BIM software courses in various related professional exams, and encouraging adoption of BIM from the grassroots, such as higher institutions, emerge as the top strategies. The findings further show a significant relationship between the barriers and strategies, emphasising the recognition that understanding barriers prompts the active development and implementation of strategies.

This study holds originality in its examination of the relationship between the barriers and strategies associated with BIM adoption in Nigerian Architecture, Construction, Engineering and Operation.

Building Information Modeling (BIM) is a revolutionary innovation in the construction industry to virtually design and mange projects throughout the building lifecycle. Although Estonia is one of the foremost countries in the Information and Communications Technology (ICT) sector, BIM adoption in the Estonian construction industry is still lagging behind other countries. This paper is part of doctoral research that aims to determine the barriers to BIM adoption and develop a framework for effective implementation of BIM in the Estonian construction industry. The purpose of this paper is to examine the status of BIM adoption, BIM benefits and common barriers to BIM adoption in the construction industry worldwide.

The methodology used in this study is a literature review of journal articles, conference proceedings and published reports from various sources.

This study showed BIM benefits through building lifecycle phases and explored the BIM adoption rate in the construction industry of various countries. Eighteen barriers to BIM adoption were also identified.

The study presented is limited to a literature review – some related literature may have been missed.

The main practical significance of this study is that the findings can be used to inform a further survey to model the barriers to BIM adoption in the Estonian construction industry.

This study offers information on BIM adoption in the construction industry and will form the basis of further research.

Architecture, engineering and construction (AEC) is an important industry worldwide and one of the largest economic sectors in several developing countries, particularly in Iran. The Iranian AEC sector suffers from low productivity and needs to adopt building information modeling (BIM) to reduce inefficiencies. Therefore, this paper was conducted to identify the BIM barriers and propose practical solutions to overcome them in Iran.

A comprehensive literature review, two rounds of the Delphi technique and semi-structured interviews with 12 Iranian experts in the AEC sector were conducted. The data were analyzed using the mean score, standard deviation and nonparametric tests.

The present study identified 26 BIM barriers in the Iranian AEC community and provided practical strategies for improving BIM adoption. The identified barriers were categorized into six main groups including source barriers, financial barriers, unawareness barriers, organizational barriers, regulatory barriers and market-demand barriers. The main three BIM barriers in Iran were the lack of government intervention, change-resistant and the gap between industry and academia. Kruskal–Wallis tests revealed that there are no statistically significant differences in perceptions of BIM barriers between respondents. The Mann–Whitney test indicated that there is no statistically significant difference in perceptions between engineers and architects except for one.

There are few studies on BIM adoption across developing countries, particularly in Iran. Moreover, the results can also be used in other developing nations with similar conditions.

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.

Building information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry.

This study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests.

The findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix.

Primary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance.

Overall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.

BIM has much potential to improve the effectiveness of construction works with respect to design, construction and maintenance. However, many Architecture, Engineering, and Construction (AEC) firms are still lagging in the adoption and implementation of BIM in both developing and developed countries. The purpose of this study is to assess the barriers to BIM implementation, and examine the ways forward to improve BIM adoption within the Nigerian AEC firms.

A comprehensive literature review and questionnaire survey were used in the study. The survey targeted four different AEC firms. These include architectural firms, facility management firms, quantity surveying firms and structural engineering firms in Lagos, Nigeria. The data obtained were analyzed using mean score, standard deviation, Kruskal–Wallis test, and factor analysis.

The study identified 20 barriers to BIM implementation and identified ten ways forward to improve BIM adoption in AEC firms, particularly in Nigeria. The relative importance of both the identified barriers and the ways forward were gauged. The Kruskal–Wallis tests revealed that except for one (out of 20) identified barriers, and one (out of 10) identified ways forward; there is no statistical significant difference in the perceptions of four different AEC firms. The factor analysis result grouped the 20 identified barriers into three major factors to include: weak top management support and BIM environment related issues; cost of BIM software and training issues; and incompatibility, legal, contractual, and culture related issues.

The significance of the study cannot be over-emphasized due to BIM relevance to construction stakeholders and researchers at large.

The study findings would inform the decisions of the construction stakeholders to make some policy recommendations capable of positively influencing the full BIM implementation in AEC firms.