An Exploratory Study of Building Information Modelling Maturity in the Construction Industry

2018 ◽  
pp. 06-19
Author(s):  
Nor’Aini Yusof ◽  
◽  
Siti Salwa Mohd Ishak ◽  
Rahma Doheim ◽  
◽  
...  
Keyword(s):  
United Kingdom ◽  
The United States ◽  
Maturity Model ◽  
Process Technology ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Construction Companies ◽  
Capability Maturity ◽  
The United Kingdom ◽  
Building Information

Despite the benefits of Building Information Modelling (BIM), the adoption level of BIM remains much lower than expected. Construction companies should appraise the existing condition in the BIM implementation to ascertain the applicable progress avenues that fit the user’s traits. To achieve this aim, the objectives of this paper are i) to identify the trends of BIM maturity studies ii) to conceptualise what is BIM maturity; iii) to identify the existing models of BIM maturity iv) to identify the indicators for measuring BIM maturity in the company, the project and the industry. A systematic review was conducted on BIM maturity articles, published in the Scopus database from 2008 to April 2018. The results reveal that most BIM maturity studies are dominated by authors from the United Kingdom and the United States, but the top three authors highly-cited were from Australia, Canada and the United Kingdom. The results highlight four aspects in the conceptualisation of BIM maturity: quality of use, the extent of use, the context of use and stages of the processes. The four most frequently quoted BIM maturity models are the National BIM Standard Capability Maturity Model, BIM maturity, BIM proficiency matrix and BIM implementation models. The results revealed seven major indicators for assessing BIM maturity namely information, people, policy, process, technology, organisation and BIM output. The findings advance the practitioners’ understanding of important indicators that must be considered to initiate or increase the BIM maturity levels in their respective companies or projects.

scholarly journals RISK FACTORS TOWARDS PUBLIC-PRIVATE PARTNERSHIPS (PPP) PROJECTS IMPLEMENTING BUILDING INFORMATION MODELLING (BIM) IN THE UNITED KINGDOM (UK): A LESSON LEARNT FOR MALAYSIA

2020 ◽  
Vol 18 (14) ◽  
Author(s):  
Siti Nora Haryati Abdullah Habib ◽  
Syuhaida Ismail ◽  
Sharifah Mazlina Syed Khuzzan
Keyword(s):  
Risk Factors ◽  
United Kingdom ◽  
Information Integration ◽  
Building Information Modelling ◽  
Information Modelling ◽  
The United Kingdom ◽  
Contract Duration ◽  
Building Information ◽  
Collaborative Working ◽  
The Uk

Public Private Partnership (PPP) projects involve stakeholders engaged in various contract structures in a lengthy contract duration. Such situations expose the projects to risks related to collaborative working and information integration. Building Information Modelling (BIM) is seen as a mechanism to improve the collaboration and integration in the PPP projects. However, BIM also exposes its users to additional risk when the barriers in sharing information are reduced. Therefore, the aim of this paper is to investigate the BIM risk factors that have significant impact towards PPP projects implementing BIM. Since the United Kingdom (UK) is considered advanced in practising PPP and BIM, this study investigates the UK industry players’ views on what they considered as significant BIM factors in PPP projects. Consequently, the study has identified six (6) most significant BIM risk factors through questionnaire and experts’ interviews. The findings provide a lesson learnt for Malaysia to consider the BIM risks in implementing BIM in PPP projects.

scholarly journals Attributes That Determine the Building Information Modelling Capability Maturity of Quantity Surveying Practice

2020 ◽  
Vol 312 ◽  
pp. 02002
Author(s):  
Abdul-Majeed Mahamadu ◽  
Lamine Mahdjoubi ◽  
Patrick Manu ◽  
Clinton Aigbavboa
Keyword(s):  
Data Management ◽  
Construction Projects ◽  
Group Discussion ◽  
Cost Savings ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Capability Maturity ◽  
Efficient Management ◽  
Building Information

With more than 80% of all construction projects overrunning their budget, there is a need for more efficient management of the estimated 10% of Gross Domestic Product (GDP) that is expended annually on construction across the world. It has been proposed that better information and data management through Building Information Modelling (BIM) will lead to cost savings and greater predictability. Notwithstanding the role of quantity surveyors (QS) in modelling and managing construction cost, they remain among the least capable of assimilating BIM into their existing traditional processes. Despite the increasing need for BIM capability assessments for projects, there remains, no tool specifically developed for assessing QS firm’s BIM utilisation capacity or performance. As a result, it is unclear the attributes that indicate BIM capability of QS firms as well as QS practices on projects. This study sought to address this through a review of BIM capability assessment frameworks in order to ascertain their suitability for QS practices. An expert focus group discussion was then used to identify peculiar attributes suitable for QS BIM capability assessment as a precursor to the development of a comprehensive model of QS BIM capability maturity. Findings reveal that most QS BIM capability attributes relate to processes including criteria for effective information definition and data management such that they are consistent with QS measurement standards. The BIM competence of staff also emerged as one of the key attributes highlighting the need for QSs to improve their knowledge, skills and experience in the application of BIM amidst current low levels of adoption. The proposed attributes would assist the development of performance and maturity indicators that would help QS firms better understand their own capability as well as the requirements for delivering costing services through BIM on projects.

scholarly journals EVOLUTION IN THE INTELLECTUAL STRUCTURE OF BIM RESEARCH: A BIBLIOMETRIC ANALYSIS

2017 ◽  
Vol 23 (8) ◽  
pp. 1060-1081 ◽  
Author(s):  
Timothy O. OLAWUMI ◽  
Daniel W. M. CHAN ◽  
Johnny K. W. WONG
Keyword(s):  
Bibliometric Analysis ◽  
The United States ◽  
Intellectual Structure ◽  
Relevant Research ◽  
Building Information Modelling ◽  
Research Areas ◽  
The United Kingdom ◽  
Research Themes ◽  
Building Information ◽  
Geographical Scope

Building Information Modelling (BIM) processes have continued to gain relevance in the Architectural, En­gineering, and Construction (AEC) industry with more resources directed toward it. This study conducts a bibliometric analysis of 445 BIM articles to investigate and understand the pattern of BIM research which include defining BIM research categories, evaluating the project sectors that are influenced by BIM, and tracking the funding structure of BIM research. A network map that displays a visualization of the structure of BIM literature by research origin, funding structure and geographical scope was designed. None of the previous reviews of literature analyzed the BIM articles’ corpus to such level and depth. The findings revealed research categories such as construction and project management and BIM learning, adoption & practice as the core research areas in BIM and highlighted trending research themes in BIM research. Authors based in Asia and Europe received more research grants than their counterparts in other regions; likewise, two-third of the articles was authored by academics in the United States, Korea, and the United Kingdom. The study provides its readers with relevant research areas that require considerations, and the discussion of selected research areas provides an extensive understanding of salient BIM fields.

Building Information Modelling Maturity Matrix

2010 ◽  
pp. 65-103 ◽  
Author(s):  
Bilal Succar
Keyword(s):  
Project Teams ◽  
Building Information Modelling ◽  
Engineering Construction ◽  
Information Modelling ◽  
Capability Maturity ◽  
Performance Figure ◽  
Building Information ◽  
Definition Of ◽  
Active Implementation ◽  
Different Levels

Building Information Modelling (BIM) is an expanding collection of concepts and tools which have been attributed with transformative capabilities within the Architecture, Engineering, Construction and Operations (AECO) industry. BIM discussions have grown to accommodate increasing software capabilities, infinitely varied deliverables, and competing standards emanating from an abundance of overlapping definitions attempting to delineate the BIM term. This chapter will steer away from providing its own definition of BIM yet concurs with those identifying it as a catalyst for change (Bernstein, 2005) poised to reduce industry’s fragmentation (CWIC, 2004), improve its efficiency (Hampson & Brandon, 2004) and lower its high costs of inadequate interoperability (NIST, 2004). In essence, BIM represents an array of possibilities and challenges which need to be understood and met respectively through a measurable and repeatable approach. This chapter briefly explores the multi-dimensional nature of the BIM domain and then introduces a knowledge tool to assist individuals, organisations and project teams to assess their BIM capability, maturity and improve their performance (Figure 1). The first section introduces BIM Fields and Stages which lay the foundations for measuring capability and maturity. Section 2 introduces BIM Competencies which can be used as active implementation steps or as performance assessment areas. Section 3 introduces an Organisational Hierarchy/Scale suitable for tailoring capability and maturity assessments according to markets, industries, disciplines and organisational sizes. Section 4 explores the concepts behind ‘capability maturity models’ and then adopts a five-level BIM-specific Maturity Index (BIMMI). Section 5 introduces the BIM Maturity Matrix (BIm³), a performance measurement and improvement tool which identifies the correlation between BIM Stages, Competency Sets, Maturity Levels and Organisational Scales. Finally, Section 6 introduces a Competency Granularity Filter which enables the tailoring of BIM tools, guides and reports according to four different levels of assessment granularity.

scholarly journals Students’ perceptions of BIM education in the higher education sector

2017 ◽  
Vol 31 (5) ◽  
pp. 293-304 ◽  
Author(s):  
M. Shelbourn ◽  
J. Macdonald ◽  
T. McCuen ◽  
S. Lee
Keyword(s):  
Higher Education ◽  
United States ◽  
United Kingdom ◽  
Focus Groups ◽  
Good Practice ◽  
The United States ◽  
Engineering Construction ◽  
The United Kingdom ◽  
Building Information ◽  
Building Life Cycle

The use of building information modelling (BIM) has increased in the global architecture, engineering, construction and owner-operated (AECO) industries. This increased use has contributed to a recognition by project stakeholders of its importance across the building life cycle, leading higher education institutions to rethink their AECO provisions. There has been much debate about how BIM should be employed in undergraduate curricula: should it be included as a stand-alone subject in a programme or as an underlying theme across the programme? Research has also been conducted into theories of practice with regard to BIM education. This article builds on previous research in the codeBIM project and describes students’ perceptions of current practice in the United States and the United Kingdom. The article begins with a literature review of current theories of BIM teaching in AECO and a summary of good practice. The use of focus groups is described and the findings from focus group sessions held in the United Kingdom and the United States are discussed. The authors identify six key areas required for BIM to be inclusive in higher education: collaborative curricula, space, teamwork, relevance to the industry, technical/technological skills and the role of the professor or lecturer. Each of these areas is discussed in light of the findings from the focus groups.

scholarly journals Readiness of Malaysian Small and Medium Enterprises Construction Companies for Building Information Modelling Implementation

2021 ◽  
Vol 1200 (1) ◽  
pp. 012027
Author(s):  
N K Arif ◽  
M F Hasmori ◽  
R Deraman ◽  
M N Yasin ◽  
M A Mohd Yassin
Keyword(s):  
Small And Medium Enterprises ◽  
Descriptive Analysis ◽  
Integrated Design ◽  
Government Support ◽  
Online Questionnaire ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Construction Companies ◽  
Building Information ◽  
Medium Enterprises

Abstract Building Information Modelling (BIM) has shown its efficiency in helping the construction industry players. The BIM helped to achieve better integration of project information and to enhance collaboration between stakeholders and the industry players from the early phase of projects until the end. Small and medium-sized companies (SMEs) have been under-represented in studies on BIM adoption. Although the technology to implement BIM is readily available and rapidly maturing, the adoption of BIM is still slow. Malaysian government support the adoption of BIM-oriented Integrated Design (ID) approaches in their national markets, however, the implementation of BIM software support systems among Small and Medium Enterprises (SMEs) in Malaysia is considered inadequate. In terms of the implementation of information technology, the construction sector in Malaysia still lags behind other sectors. To have a better knowledge of BIM in SMEs, it is important to first identify the major barriers to BIM adoption in SMEs and then examine potential solutions. Hence, the main motivation of this study is to investigate the readiness of Malaysian SMEs construction companies for BIM implementation, to determine the challenges of BIM implementation, and to develop a strategy to overcome the challenges. An online questionnaire survey was conducted and as many as 115 responses were collected. A quantitative approach was used for this research. This study uses a descriptive analysis method which comprised of structured questionnaires developed from reviews of past researches. The finding of this study indicate that BIM adoption in Malaysia is still relatively low. Many actions are needed to promote BIM adoption among construction SMEs in Malaysia.

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