Building Information Modelling (BIM) adoption and implementation enablers in AEC firms: a systematic literature review

Author(s):  
Behzad Abbasnejad ◽  
Madhav Prasad Nepal ◽  
Alireza Ahankoob ◽  
Araz Nasirian ◽  
Robin Drogemuller
2021 ◽  
Vol 26 ◽  
pp. 974-1008
Author(s):  
Behzad Abbasnejad ◽  
Madhav Prasad Nepal ◽  
Seyed Armin Mirhosseini ◽  
Hashem Izadi Moud ◽  
Alireza Ahankoob

Building Information Modelling (BIM) implementation is a dynamic process and there are a number of influential variables that may change throughout. There is little research on the dynamics of the change environment and the AEC organizations’ approaches to BIM adoption and implementation. A considerable number of BIM enablers have been identified and/or developed in the extant literature. However, stipulating BIM implementation enablers per se provides only a static view that is not adequate for describing effective management of BIM implementation in Architectural, Engineering, and Construction (AEC) organizations. This study is the second part of an ongoing research about BIM implementation enablers. In the first paper “Building Information Modelling (BIM) adoption and implementation enablers in AEC firms: a systematic literature review” (Abbasnejad et al., 2020) the organizational BIM enablers have been identified. The aim of this second paper is to (1) further review and validate the key BIM implementation enablers using both the existing literature and expert interviews, and (2) develop a structural model of the key enablers using the ISM technique to understand the mutual interaction of these enablers and identify the driving enablers and the dependent enablers. Twenty-eight enablers for BIM implementation were initially identified from the literature and subsequent discussion with experts from academia and industry has been conducted to select most key BIM implementation enablers. Eleven enablers were finally chosen based on the literature review and expert interviews and the Interpretive Structural Modeling (ISM) technique has been adopted to evaluate the contextual interrelationships among them. MICMAC (Matrix Impacts Cross-reference Multiplication Applied to a Classification) analysis was employed to classify the eleven enablers based on their dependence and driving power. The results indicate that there is no enabler in the autonomous cluster and this therefore signifies that all enablers are required for the implementation of BIM. BIM leadership and top management support have been identified as the enablers with the highest driving power in the initial stages of the BIM adoption and implementation process and for that reason, these enablers demand a greater priority given that there are other dependent enablers that will be impacted.


2020 ◽  
Vol 26 (6) ◽  
pp. 551-563
Author(s):  
Theophilus Olowa ◽  
Emlyn Witt ◽  
Irene Lill

Digitalisation of the construction industry is both driving changes in construction education to meet emerging industry needs and providing opportunities for new delivery approaches. Universities are responding to these challenges in diverse ways including in their use of Building Information Modelling for construction education (BfCE). This research is aimed at understanding the existing approaches to BfCE. A systematic literature review of BfCE in universities was carried out which identified 305 relevant articles including 44 specific cases of BfCE. These were qualitatively analysed and a Straussian Theory Model (STM) was adopted to understand the different BfCE approaches reported in the literature, the contextual and intervening conditions which give rise to them and their consequences in order to develop a conceptual framework which sets out the relationships between these and the digitalisation of the construction industry. This study provides construction educators with a descriptive typology that depicts all possible BfCE approaches and which could assist them in determining suitable approaches and to conceptualise new approaches for teaching students to use Building Information Modelling (BIM) and also for leveraging BIM to enhance their teaching of other topics.


Author(s):  
Hafiz Muhammad Faisal Shehzad ◽  
Roliana Binti Ibrahim ◽  
Ahmad Fadhil Yusof ◽  
Khairul Anwar Mohamed Khaidzir ◽  
Omayma Husain Abbas Hassan ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayman Ahmed Ezzat Othman ◽  
Fatma Othman Alamoudy

Purpose This paper aims to develop a framework for optimising building performance through the integration between risk management (RM) and building information modelling (BIM) during the design process. Design/methodology/approach To achieve this aim, a research strategy consisting of literature review, case studies and survey questionnaire is designed to accomplish four objectives. First, to examine the concepts of design process, building performance, RM and BIM; second, to present three case studies to explain the role of using RM and BIM capabilities towards optimising building performance; third, to investigate the perception and application of architectural design firms in Egypt towards the role of RM and BIM for enhancing building performance during the design process; and finally, to develop a framework integrating RM and BIM during the design process as an approach for optimising building performance. Findings Through literature review, the research identified 18 risks that hamper optimising building performance during the design process. In addition, 11 building performance values and 20 BIM technologies were defined. Results of data analysis showed that “Design budget overrun”, “Lack of considering life cycle cost” and “Inefficient use of the design time” were ranked the highest risks that affect the optimisation of building performance. Respondents ranked “Risk avoid” or “Risk transfer” as the most risk responses adopted in the Egyptian context. In addition, “BIM As Built” was ranked the highest BIM technology used for overcoming risks during the design process. These findings necessitated taking action towards developing a framework to optimising building performance. Originality/value The research identified the risks that affect optimising building performance during the design process. It focuses on improving the design process through using the capabilities of BIM technologies towards overcoming these risks during the design process. The proposed framework which integrates RM and BIM represents a synthesis that is novel and creative in thought and adds value to the knowledge in a manner that has not previously occurred.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ifeoluwa Benjamin Oluleye ◽  
Abiodun Kolawole Oyetunji ◽  
Michael Ayodele Olukolajo ◽  
Daniel W.M. Chan

Purpose Building information modelling (BIM) is a novel technological advancement in the built environment. Despite the potentials of BIM, its adoption and implementation are undermined in facility management (FM) operations. This might be because of limited information on the critical success factors (CSFs) that can enhance its adoption. The study aims to integrate building information modelling to improve facility management operation by adopting fuzzy synthetic approach for evaluating the critical success factors. Design/methodology/approach Data for the study were sourced from practising and registered facility managers within Lagos metropolis, Nigeria. The data collected were analysed using a combination of methods which include mean item score, factor analysis and fuzzy synthetic evaluation (FSE). Findings The factor analysis results showed that six underlying groups of CSFs would enhance the effective adoption of BIM in facility operations. The FSE results showed that out of the six groups, the three topmost important CSF grouping (CSFG) in the decision rule would enhance the effectiveness of BIM adoption for FM operations. Practical implications The result of this study provides a credible road map for facility managers, policymakers and other stakeholders in FM operations on the CSFs and CSFG required for the adoption of BIM. Originality/value Previous studies that aimed at integrating BIM into FM are limited. Hence, this study provides a broad perspective on the CSF required for BIM adoption and implementation in FM operations using the FSE approach.


2020 ◽  
Vol 5 (2) ◽  
pp. 1-11
Author(s):  
Nadzirah Zainordin ◽  
◽  
Zamzarina Md Judyar ◽  
Nur Syahirah Zafarull ◽  
Nor Azizah Zalin ◽  
...  

This study begins with a broad literature review to understand the Building Information Modelling (BIM) concept. Quantity Surveyors star as an influential role as qualified, trained, and proficient in dealing with glitches relating to construction expenditure, supervision, and consultation in the construction industry. When the task is getting crucial, an assistant from technology may help faster and smoother the process and task. This study aims to investigate an understanding of the application of BIM among Quantity Surveyor in Malaysia. According to the Board of Quantity Surveyors, Malaysia's official website, 101 registered Quantity Surveying Consultant firms were in 2018. This study targeted 1000 persons from different firms and expected to respond from at least 278 persons due to time constraints. The other criteria of the respondents include years of experience in the industry. Quantity Surveying Consultant firms would be the most suitable people to answer a questionnaire survey for this study. The registered Quantity Surveying Consultant firms are very well proficient in the quantity surveying practice and services. Therefore, by choosing Quantity Surveying Consultant firms to be the respondent may help in getting the most consistent answer and higher accuracy of the exploration of Quantity Surveyors productivity by adopting the Building Information Modelling (BIM) concept in Quantity Surveyor, which will further enhance the awareness of benefits of BIM to the Quantity Surveyor profession itself.


CivilEng ◽  
2021 ◽  
Vol 2 (3) ◽  
pp. 765-793
Author(s):  
Vittoria Ciotta ◽  
Domenico Asprone ◽  
Gaetano Manfredi ◽  
Edoardo Cosenza

Over the past decade, the fields of civil engineering, i.e., structural engineering, have increasingly used the building information modelling (BIM) approach in both professional practice and as the focus of research. However, the field of structural engineering, which can be seen as a sub-discipline of civil engineering, misses, as far as the authors are aware, a real state-of-the-art on the use of BIM in this regard. The aim of this paper, therefore, is to start bridging that gap. In particular, the authors have conducted a traditional literature review on the utilisation of BIM in structural engineering, enabling them to perform a detailed content analysis of publications. The qualitative investigation of the literature that the authors have conducted has highlighted six main BIM uses in structural engineering: (1) structural analyses; (2) production of shop drawings; (3) optimized structural design, early identification of constructability issues, and a comparison of different structural solutions; (4) seismic risk assessments; (5) existing-condition modelling and retrofitting of structures; and (6) structural health monitoring. Each of these is discussed in relation to their reference workflows; use of information models; information exchanges; and main limitations. In the conclusions, the authors identify current gaps in knowledge, as well as likely developments and improvements in the utilization of BIM in structural engineering. The authors also outline the possible significance of this work more broadly.


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