Solutions for effective diffusion of BIM for BIM late adopters: case study of UAE AEC industry

Omar, Hany; Dulaimi, Mohammed

doi:10.1080/15623599.2021.1976906

Cited by 10 publications

(17 citation statements)

References 30 publications

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“…Interviewing is the most commonly utilised data collection method in grounded theory [54,59]. The interviews are designed to build concepts and theory and to allow data to emerge spontaneously until the extracted facts are "grounded" in the analysis [59].…”

Section: Data Collectionmentioning

confidence: 99%

“…The interviews are designed to build concepts and theory and to allow data to emerge spontaneously until the extracted facts are "grounded" in the analysis [59]. This research utilised semi-structured open-ended interviews following a qualitative research strategy [54]. This method was found to be suitable for collecting experts' perceptions surrounding the identified phenomenon.…”

Section: Data Collectionmentioning

confidence: 99%

“…Semi-structured interviews with industry prac-titioners were conducted to identify the barriers to BIM implementation in the wood construction industry. The interviews led to a better understanding of the phenomena [54] and to gathering truths about the reality of BIM implementation [59].…”

Section: Data Collectionmentioning

confidence: 99%

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An Empirical Analysis of Barriers to Building Information Modelling (BIM) Implementation in Wood Construction Projects: Evidence from the Swedish Context

et al. 2022

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Building information modelling is gradually being recognised by the architecture, engineering, construction, and operation industry as a valuable opportunity to increase the efficiency of the built environment. Focusing on the wood construction industry, BIM is becoming a necessity; this is due to its high level of prefabrication and complex digital procedures using wood sawing machines and sophisticated cuttings. However, the full implementation of BIM is still far from reality. The main objective of this paper is to explore the barriers affecting BIM implementation in the Swedish construction industry. An extensive literature review was conducted to extract barriers hindering the implementation of BIM in the construction industry. Secondly, barriers to the implementation of BIM in the wood construction industry in Sweden were extracted using the grounded theory methodology to analyse expert input on the phenomenon of low BIM implementation in the wood construction industry in Sweden. Thirty-four barriers were identified. The analysis of this study also led to the development of a conceptual model that recommended solutions to overcome the barriers identified to help maximise BIM implementation within the wood construction industry. Identifying the main barriers affecting BIM implementation is essential to guide organisational decisions and drive policy, particularly for governments that are considering articulating regulations to expand BIM implementation.

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Section: Data Collectionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

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An Empirical Analysis of Barriers to Building Information Modelling (BIM) Implementation in Wood Construction Projects: Evidence from the Swedish Context

et al. 2022

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“…Some of the recommended technologies that demonstrated its effectiveness for improving the performance of the construction industry are building information modelling (BIM), artificial intelligence (AI), augmented reality (AR), virtual reality (VR), computer vision (CV), photogrammetry, laser scanning (LS), machine learning (ML), radio frequency identification (RFID), mathematical programming approach and drones (Sonmez and Uysal, 2008; Yokoya and Yamada, 2009; Bosché, 2010; Arayici et al , 2011; Azhar et al , 2012; Lima et al. , 2013; Omar and Dulaimi, 2015, 2021; Kopsida et al , 2015; Omar and Nehdi, 2016; Wu et al , 2017; Goessens et al. , 2018; Omar et al.…”

Section: Causes Of Project Overruns In Construction Projectsmentioning

confidence: 99%

Practical solutions for improving the suboptimal performance of construction projects using Dubai construction projects as an example

Omar

Mahdjoubi

2022

ECAM

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PurposePoor performance remains a challenge for the construction industry worldwide. One of the key performance indicators of the construction industry is the timely delivery of projects. Despite the recent methodological and technological advances in the field, project-overrun remains a significant challenge for the industry. This paper seeks to propose practical solutions that allow overcoming the challenges and promote the opportunities for improving the performance of the construction projects in Dubai.Design/methodology/approachThis study focussed on the construction projects in Dubai; therefore, this research adopted a sequential mixed approach in two stages. The first stage involved face-to-face interviews with seven carefully selected construction professionals. Their answers were analysed to provide with the literature study “the informed-basis for the development of the online questionnaire”. The second stage involved an online survey administrated to 425 carefully selected construction organisations working in Dubai. Accordingly, a meticulous analysis for the prime causes of project overruns has also been undertaken. This analysis assisted proposing the most suitable solutions-based technologies that enabled alleviating overruns in the construction projects.FindingsThe findings revealed that, there was a consensus agreement on the formidable opportunities for improving the performance of the construction industry in general and in particular in Dubai. These opportunities are intrinsically linked with the adoption of the latest technologies such as building information modelling, augmented reality, virtual reality and the artificial intelligence (AI). Whereas, adopting AI has already assisted two public authorities to release No Objection Certificates and work permits effectively within one day instead of 14 working days, which has saved 90% of the time and cost. Likewise, adoption of the AI has assisted delivering the construction project with a 9% of time saving and a 6% of cost saving due to embracing an automated system that enabled them to instantly detect and report the delays, once occurred.Research limitations/implicationsThe main limitation of this study is that the study was limited to the construction industry in the Emirate of Dubai. Therefore, future research could target the whole United Arab Emirates construction industry to propose the practical solution on the country level.Practical implicationsThe literature study is replete with solutions, which tend to be theoretical more than practical. Therefore, the proposed practical recommendations will significantly assist the construction industry to improve its suboptimal performance to rescind the sovereignty of the irrelevant involvements. The research recommended establishing independent entity to lead the change in the construction industry; this entity will have the power of enacting rules and legislations. Furthermore, this independent entity will have the power and authority of dictations and impose sanctions on the non-committed organisations that are reluctant to adopt the recommended technologies and approaches.Originality/valueBased on the findings of the study, this paper draws a road map for the construction industry by determining practical solutions for improvements starting with an establishment of an independent authority that selects and tests the most appropriate technologies and approaches to contribute to performance improvements.

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“…This is consistent with the results of this study that the lack of BIM awareness and knowledge is the foremost barrier to BIM adoption in the MENA. However, according to Omar and Dulaimi (2021) results, resistance to change is the most critical barrier in UAE, followed by a lack of top management, and the significant effort needed to make changes in workflow. These barriers were given lower ranks in this survey.…”

Section: Overview Of Bim Adoption Barriersmentioning

confidence: 99%

An overview of BIM adoption barriers in the Middle East and North Africa developing countries

Hajj

Montes

Jawad

2021

ECAM

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PurposeIn 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.Design/methodology/approachTo 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.FindingsThe 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.Practical implicationsThe 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.Originality/valueWhile 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.

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Solutions for effective diffusion of BIM for BIM late adopters: case study of UAE AEC industry

Cited by 10 publications

References 30 publications

An Empirical Analysis of Barriers to Building Information Modelling (BIM) Implementation in Wood Construction Projects: Evidence from the Swedish Context

An Empirical Analysis of Barriers to Building Information Modelling (BIM) Implementation in Wood Construction Projects: Evidence from the Swedish Context

Practical solutions for improving the suboptimal performance of construction projects using Dubai construction projects as an example

An overview of BIM adoption barriers in the Middle East and North Africa developing countries

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