Analysis framework for the interactions between building information modelling (BIM) and lean construction on construction mega-projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Evans ◽  
Peter Farrell ◽  
Wael Zewein ◽  
Ayman Mashali
Keyword(s):  
Construction Industry ◽  
Statistical Tests ◽  
Lean Construction ◽  
Research Approach ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Key Stakeholders ◽  
Building Information ◽  
Research Findings

Purpose The construction industry encounters substantial challenges in its evolution towards sustainable development and to the adoption of building information modelling (BIM) technology and lean construction (LC) practices on construction mega-projects. This study aims to present critical challenges and to investigate the interactions of BIM and LC on construction mega-projects encountered by key stakeholders in their efforts to integrate BIM and LC. Design/methodology/approach A qualitative research approach is adopted to introduce and validate LC principles and BIM functionalities resulting from a detailed analysis of extant literature, followed by a conceptual analysis of the interactions between BIM and LC on construction mega-projects. A quantitative questionnaire survey is then used. Descriptive and inferential statistical tests are used for data analysis, and analysis of variance tests elaborate and validate results. Findings The research yielded ten BIM functionalities and ten LC principles, which are categorised in four principle areas and four BIM functionality groups. A research framework for analysis of the interaction between BIM and LC is then compiled. Originality/value Research findings and the proposed framework will enhance the adoption of BIM and LC practices on construction mega-projects and allow project key stakeholders to place emphasis on tackling crucial challenges and barriers identified in this research. The framework will guide and stimulate research; and as such, the approach adopted up to this point is constructive. The identified interactions between BIM and LC on construction mega-projects show positive synergies between the two.

Barriers to integrating building information modelling (BIM) and lean construction practices on construction mega-projects: a Delphi study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Evans ◽  
Peter Farrell
Keyword(s):  
Delphi Study ◽  
Statistical Tests ◽  
Lean Construction ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Industry Standards ◽  
Building Information ◽  
Research Findings ◽  
The Government

PurposeThe construction industry encounters substantial challenges in its evolution towards sustainable development and in the adoption of building information modelling (BIM) technology and lean construction (LC) practices on construction mega-projects. This research aims to investigate the critical barriers encountered by key construction stakeholders in their efforts to integrate BIM and LC in the construction mega-projects.Design/methodology/approachA two-round Delphi survey shaped the foundation of aggregating consensus between an expert panel that examined a set of 28 barriers resulting from a detailed analysis of the extant literature. Descriptive and inferential statistical tests were exploited for data analysis, and interrater agreement analysis was used to elaborated and validate results.FindingsThe research concluded that the key barriers by descending order of significance are lack of mandatory BIM and LC industry standards and regulations by the government, resistance of the industry to change from traditional practices to LeanBIM, high cost of software licenses and training and running of BIM.Originality/valueThe research findings and the proposed mitigation strategy will enhance the application of BIM and LC practices in construction mega-projects and allow project key stakeholders to place emphasis on tackling the crucial challenges and barriers identified in this research.

Critical success factors for adopting building information modelling (BIM) and lean construction practices on construction mega-projects: a Delphi survey

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Evans ◽  
Peter Farrell ◽  
Ayman Mashali ◽  
Wael Zewein
Keyword(s):  
Success Factors ◽  
Lean Construction ◽  
Delphi Survey ◽  
Local Authorities ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Critical Success ◽  
Building Information ◽  
Research Findings

Purpose The purpose of this paper is to investigate critical success factors (CSFs) that enhance integration between building information modelling (BIM) and lean construction (LC) practices on construction mega-projects. BIM and LC have gained momentum in the past decade. Design/methodology/approach The Delphi survey technique was used to gauge opinions of a panel of 16 experts through a two-round Delphi questionnaire survey. Panel responses were scrutinised using inferential and descriptive statistical techniques. Findings In total, 30 CSFs were identified in the literature. The top ranked factor out of 30 that supports LeanBIM synergy was “collaboration in design, construction works and engineering management”. Other top rated CSFs were centric on people, data and technology elements. The research findings are important for project stakeholders, organisations, contractors, engineers and local authorities who implement LC and BIM synergies in construction mega-projects. Originality/value The research findings are important for project stakeholders, organisations, contractors, engineers and local authorities who implement LC and BIM synergies in construction mega-projects. The research recommends further hands-on training to increase the integration of BIM and LC practices in the architecture, engineering and construction industry and to enrich the extant body of knowledge in construction of mega-projects.

Building information modelling (BIM) and the return on investment: a systematic analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Apeesada Sompolgrunk ◽  
Saeed Banihashemi ◽  
Saeed Reza Mohandes
Keyword(s):  
Construction Industry ◽  
Return On Investment ◽  
Research Work ◽  
Value Drivers ◽  
Productivity Improvement ◽  
Building Information Modelling ◽  
Content Type ◽  
Factors Affecting ◽  
Information Modelling ◽  
Building Information

Purpose The purpose of this study is to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with building information modelling (BIM) return on investment (ROI). The findings of this study provide researchers and practitioners with up-to-date information in formulating appropriate strategies to quantify the monetary value of BIM. The suggested research agenda provided would also advance what is presently a limited body of knowledge relating to the evaluation of BIM ROI. Design/methodology/approach To fill the identified gap, this study develops a comprehensive systematic review of mainstream studies on factors affecting BIM ROI published from 2000 to 2020. A total of 23 academic records from different sources such as journals, conference proceedings, dissertation and PhD theses were identified and thoroughly reviewed. Findings The reported BIM ROI ranged greatly from −83.3% to 39,900%. A total of 5 returning factors, namely, schedule reduction and compliance, productivity improvement, request for information reduction, rework reduction and change orders reduction were identified as the most commonly reported factors that influence BIM ROI. Four quantification techniques including general assumptions-based theoretical model, perceived BIM ROI based on survey, factors affecting BIM ROI with no reported ROI and quantified BIM ROI based on a case study were observed and pointed out in the review, together with their limitations. Finally, three major gaps were raised as the lack of consideration on the likelihood of BIM assisting in a construction project, intangible returning factors influencing BIM-based projects and industry standards in benchmarking BIM ROI. Practical implications The outcomes of this study would assist practitioners by providing the current evaluation techniques that address the limitations with BIM investment and present issues relating to the economic evaluation of BIM in the construction industry. It is also expected that presenting a deeper and wider perspective of the research work performed until now will direct a more focussed approach on productivity improvement efforts in the construction industry. Originality/value This study identifies and analyses the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI on an industry scale rather than a particular organisation or a project scale.

Emerging technical risks from the application of building information modelling

2020 ◽  
Vol 18 (3) ◽  
pp. 195-212
Author(s):  
Moshabab Aljarman ◽  
Halim Boussabaine ◽  
Khalid Almarri
Keyword(s):  
Construction Industry ◽  
Primary Data ◽  
Successful Implementation ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Technical Risks ◽  
Software Platforms ◽  
Modelling Data

Purpose Building information modelling (BIM) is not without risk, as the greater reliance on information technology has associated technical risks. Thus, the purpose of this paper is to assess the perceptions of the users of BIM regarding the likelihood of emergence of technical risks which might influence the successful application of BIM, to facilitate the successful implementation of BIM in the construction industry. Design/methodology/approach The primary data were collected via a questionnaire to document the BIM risks, where 105 responses were recorded from constructors, consultants, cost consultants and other professionals from the UK construction industry. Subsequently, the analysis of the results was driven by univariate and inferential statistics (ANOVA) to assess the perception of risk emergence. Findings The study found the most likely technical risks that might emerge from BIM application. These risks are complexity of transferring modelling data from one program to another, lack of understanding of the BIM for the different software platforms, interoperability shortcomings, failure to discover errors in the model and risks of different software platforms. Practical implications The results will certainly intensify the discussion about BIM risks, risk allocation and all other aspects that are related to BIM contractual processes. Also, the compiled list of risks will help stakeholders in assessing financial implications that may result from BIM application. Originality/value Important technical risks have been identified in the application of BIM. This renders a new understanding of the risks that might influence the successful application of BIM. The respondents generally agreed on the importance of the following risks: “complexity of transferring modelling data between programs from one program to another”, “lack of understanding of the BIM for the different software platforms”, “interoperability shortcomings”, “failure to discover errors in the model” and “risks of different software platforms”, which are in line with current literature.

Preliminary building information modelling adoption model in Malaysia

2014 ◽  
Vol 14 (4) ◽  
pp. 408-432 ◽  
Author(s):  
Wallace Imoudu Enegbuma ◽  
Uche Godwin Aliagha ◽  
Kherun Nita Ali
Keyword(s):  
Construction Industry ◽  
Mediating Effect ◽  
Extensive Literature ◽  
Building Information Modelling ◽  
Content Type ◽  
Factors Affecting ◽  
Information Modelling ◽  
Collaborative Processes ◽  
Building Information ◽  
The Relationship

Purpose – This paper aims to investigate the relationship between building information modelling (BIM) adoption from the perspectives of people, process and technology to strategic information technology (IT) in construction mediated by collaborative processes for new BIM entrants. The demand pull for more effective project delivery in the construction industry across the globe has continued to transform design techniques from two-dimensional, three-dimensional (3D) and, currently, BIM. Leverage on IT is pivotal for construction industry development as earmarked by the Malaysian construction industry master plan. BIM uptake by stakeholders in Malaysia construction industry is on a gradual increase. BIM generates and manages building data during its life cycle via 3D, real-time, dynamic building modelling. Design/methodology/approach – BIM model is dependent on collaborative contribution by project teams’ input at various stages. However, challenges such as people, process and technology impede an effective adoption rate in Malaysia. This paper presents a continuation of an ongoing theoretical framework developed, to further investigate the relationship between BIM adoption from perspectives of people, process and technology to strategic IT in construction and collaborative process. To develop the framework, an extensive literature review on factors affecting BIM adoption was carried out. The underlining gap stems from a positivist standpoint in examining human – IT interaction. The model builds on conceptual technology acceptance models incorporating strategic IT implementation and collaborative processes in the industry. Findings – The paper examined factors affecting BIM adoption in Malaysia. The factors are further affected by the environment where BIM is utilised. The paper also presents the mediating effect of collaboration for new BIM entrants. Overall, the theorised hypotheses delineate the strength and significance of the examined relationship within the model. Subsequently, the data will be collected from construction industry professionals (architects, quantity surveyors, engineers and contractors) through the developed survey instrument. The hypotheses will undergo structural equation modelling to analyse the desired statistical power, test for close versus exact fit and complexity of the model. Social implications – The findings will delineate the variables with predominant impact on BIM adoption and serves as a guide to future policymaking on BIM implementation in Malaysia. Originality/value – Current research on BIM in Malaysia is limited to readiness and awareness. This paper extends the need for empirical findings from construction professionals’ perception of BIM. The findings also explain reasons for BIM adoption in new BIM entrants and add to current body of knowledge on IT acceptance model formation.

scholarly journals Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

2021 ◽  
Vol 13 (3) ◽  
pp. 142-150
Author(s):  
Berco Venter ◽  
Sams Pfukani Ngobeni ◽  
Hendri du Plessis
Keyword(s):  
Built Environment ◽  
Construction Industry ◽  
South African ◽  
Research Approach ◽  
The South ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Factors Influencing ◽  
Building Information ◽  
Quantity Surveying

Abstract The construction industry has often been described as stagnant and out-of-date due to the lack of innovation and innovative work methods to improve the industry (WEF, 2016; Ostravik, 2015). The adoption of Building Information Modelling (BIM) within the construction industry has been relatively slow (Cao et al., 2017), particularly in the South African Construction and Built Environment (CBE) (Allen, Smallwood & Emuze, 2012). The purpose of this study was to determine the critical factors influencing the adoption of BIM in the South African CBE, specifically from a quantity surveyor’s perspective, including the practical implications. The study used a qualitative research approach grounded in a theoretical framework. A survey questionnaire was applied to correlate the interpretation of the theory with the data collected (Naoum, 2007). The study was limited to professionals within the South African CBE. The study highlighted that the slow adoption of BIM within the South African CBE was mainly due to a lack of incentives and subsequent lack of investment towards the BIM adoption. The study concluded that the South African CBE operated mainly in silos without centralised coordination. The BIM adoption was only organic. Project teams were mostly project orientated, seeking immediate solutions, and adopted the most appropriate technologies for the team’s composition. The study implies that the South African CBE, particularly the Quantity Surveying profession, still depends heavily on other role-players in producing information-rich 3D models. Without a centralised effort, the South African Quantity Surveying professionals will continue to adopt BIM technology linearly to the demand-risk ratio as BIM maturity is realised in the South African CBE.

scholarly journals Building information modelling (BIM) readiness of construction professionals: the context of the Seychelles construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vincent Adam ◽  
Patrick Manu ◽  
Abdul-Majeed Mahamadu ◽  
Krzysztof Dziekonski ◽  
Ernest Kissi ◽  
...  
Keyword(s):  
Construction Industry ◽  
Design Methodology ◽  
Technical Skills ◽  
Developed Countries ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Education Training ◽  
Industry Professionals

Purpose Although building information modelling (BIM) adoption in developed countries has largely been incentivised by government, in developing countries, adoption is often driven by desires of industry professionals, which is dependent on awareness of BIM and availability of skills among the professionals. Thus, BIM awareness and competence among professionals have become useful baseline measures of BIM readiness. To ascertain BIM readiness within the Seychelles construction industry, this study aims to investigate the level of BIM awareness and level of BIM competence among construction professionals. Design/methodology/approach The study involved a questionnaire survey of construction professionals (n = 96) and data analysis using both descriptive statistics and association analysis. Findings The results indicate a moderate level of BIM awareness, but a low level of engagement in BIM education/training. Also, the professionals have very low BIM technical skills, notably the ability to use BIM-related tools and to perform BIM-related task. Furthermore, this study suggests that the experience of working on collaborative projects could be a useful premise for BIM implementation among construction professionals. Originality/value The implication is that construction professionals in the Seychelles need to start readying themselves for greater BIM adoption by taking steps to address the BIM technical skills deficiencies and the low engagement in BIM education/training.

scholarly journals Building information modelling (BIM) and the CDM regulations interoperability framework

2019 ◽  
Vol 26 (11) ◽  
pp. 2682-2704 ◽  
Author(s):  
Dingayo Mzyece ◽  
Issaka E. Ndekugri ◽  
Nii A. Ankrah
Keyword(s):  
Research Approach ◽  
Exploratory Research ◽  
Construction Sector ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Construction Design ◽  
Industry Standards ◽  
Building Information ◽  
Insight Into

PurposeBuilding information modelling (BIM) has received wide coverage within the research, academic and industry communities over the last decade. Yet, its degree of integration with various industry standards in the architecture, engineering and construction sector varies extensively. An exploratory research approach explores the interoperability between the construction design and management (CDM) regulations and BIM. The paper aims to discuss this issue.Design/methodology/approachThe research design comprised: a methodical “state-of-the-art” review of extant literature – exploring some 19 variables emerging from the literature review; detailed content analyses of the current CDM regime (CDM 2015); and conducting a “test” to map and determine the degree of interoperability between BIM and CDM. The study develops several meta-matrices and a framework for BIM and CDM interoperability.FindingsNew insight reveals that BIM provides a systematic approach for the discharge of CDM obligations. The framework developed is easily transferable into BIM common data environments (CDEs) and offers an expeditious discharge of CDM obligations.Research limitations/implicationsSome features of the developed BIM/CDM interoperability framework invite further tests to predicate the degree of discharge of CDM obligations. Duties related to provision of pre-construction information invite further research.Originality/valueLittle research provides insight into the interoperability of BIM and the CDM regulations. Therefore, this study contributes to the knowledge relating to the degree of interoperability of BIM in construction systems, processes and standards.

Stakeholders’ expectations on building information modelling (BIM) concept in Malaysia

2018 ◽  
Vol 36 (4) ◽  
pp. 400-422 ◽  
Author(s):  
Afifuddin Husairi Husain ◽  
Muhammad Najib Razali ◽  
Sabariah Eni
Keyword(s):  
Construction Industry ◽  
Point Of View ◽  
Structured Interviews ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Knowledge Policy ◽  
Expected Benefits ◽  
Great Knowledge

Purpose The purpose of this paper is to investigate the benefits that client organisations expect from building information modelling (BIM) investment in Malaysia. Furthermore, this paper investigates the outcomes that, from the stakeholders’ point of view, the BIM approach needs to present. Design/methodology/approach To achieve this aim, this research employed a series of structured interviews which were conducted with representatives from client construction organisations in Malaysia. A structured questionnaire, containing 34 items, was used to collect data from respondents. Findings This research’s findings indicated that increased project revenue is one of the most expected benefits of BIM investment. In addition, it has been revealed that the Malaysian construction industry has implemented the BIM approach to project management. Furthermore, the great deal of acceptance among industrial players has been significantly positive, and thereby it can be concluded that the implementation of BIM in Malaysia has lots of potential. Originality/value This paper’s finding offers great knowledge, policy, and academic contribution, acknowledging the development of BIM’s implementation within the Malaysian construction industry.

scholarly journals Critical Barriers to BIM Implementation in the AEC Industry

2015 ◽  
Vol 7 (6) ◽  
pp. 162 ◽  
Author(s):  
Shijing Liu ◽  
Benzheng Xie ◽  
Linda Tivendal ◽  
Chunlu Liu
Keyword(s):  
Construction Industry ◽  
Construction Project ◽  
Building Design ◽  
Building Information Modelling ◽  
Information Modelling ◽  
The Past ◽  
Technological Advances ◽  
Building Information ◽  
Share Data ◽  
Research Findings

<p>Building Information Modelling (BIM) is one of the most significant technological advances in the building design and construction industry to date. Implementation of BIM has increased significantly over the past decade; and it enables the different stakeholders of a construction project to collaborate better throughout its lifecycle, and improves the opportunities to share data and decrease consumption. However, the implementation of BIM lags far behind its potential due to the existence of various barriers. This paper aims at identifying, classifying, and prioritising these barriers to BIM implementation through a survey. The research findings are expected to assist major stakeholders in the construction industry to promote BIM implementation.</p>

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