Building information modelling (BIM) after ten years: Malaysian construction players’ perception of BIM

Latiffi, Aryani Ahmad; Brahim, Juliana; Fathi, Mohamad Syazli

doi:10.1088/1755-1315/81/1/012147

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…However, this current study employed questionnaire surveys and quantitative statistical methods. Many previous studies on BIM implementation in Malaysia mainly utilize a literature review, qualitative interviews and descriptive statistics to analyze results (Latiffi et al , 2017; Zahrizan et al , 2013, 2014; Haron et al , 2017; Wan Mohammad et al , 2017). However, the ability of descriptive statistics to draw conclusions about a population from sample data is limited compared to inferential statistics that can provide deeper insight into the data (Byrne, 2007).…”

Section: Introductionmentioning

confidence: 99%

Critical success factors for BIM implementation: a Malaysian case study

Sinoh

Othman

Ibrahim

2020

ECAM

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PurposeThis paper aimed to identify critical success factors (CSFs) of building information modeling (BIM) implementation among architectural, engineering and construction (AEC) firms in Malaysia using quantitative statistical methods.Design/methodology/approachA questionnaire survey was conducted on the population of all AEC firms in Malaysia to rank the relative importance of 15 success factors (SFs) for BIM implementation in the firm on a 5-point Likert scale. The sampling frame consisted of all members registered with the Construction Industry Development Board (CIDB) from which 184 responses were received. The distinction between SFs and CSFs was achieved by a normalized mean cutoff value. Principal component analysis (PCA) was used to determine the relative groupings of the CSFs and structural equation modeling (SEM) were used to examine the underlying relationships between the CSF groupings.FindingsResults of this study validated 11 previously identified CSFs for successful implementation of BIM among Malaysian AEC firms. Non-technical factors such as management, leadership and coordination were found to have higher relevance compared to technical factors such as software and hardware. Ranking analysis of the CSFs found internal coordination factors to have more importance compared to external coordination factors. PCA revealed 4 principal components (PCs) from the 11 CSFs. Together, these four PCs explain 74.3% of the variance in the data. Also, six hypothesized relationships between these groupings were supported using PLS-SEM.Research limitations/implicationsThis study found an interaction between internal and external coordination factors for the implementation of BIM. Future research could explore the dynamics of both intra- and inter-firm coordination, which may create an environment suitable for BIM implementation.Practical implicationsThis study provides Malaysian AEC firms with a general strategy on how to approach the implementation of BIM within the firm. In addition, government initiatives should focus on increasing BIM competency of graduates entering the workforce. This can be achieved through the development of a national BIM curriculum. Apart from that, the implementation of BIM requires a radical shift in the traditional building delivery process, not just simply acquiring new software and hardware.Originality/valueThis study revealed that the interactions between different firms at the industry level can influence successful implementation of BIM at the firm level. CSFs for BIM implementation at the firm level have been extensively studied. However, few studies exist which explore the inter-firm collaborations at the industry level that facilitate successful BIM implementation.

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Section: Introductionmentioning

confidence: 99%

Critical success factors for BIM implementation: a Malaysian case study

Sinoh

Othman

Ibrahim

2020

ECAM

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“…They include architects, engineers, project managers, interior designers, clients and building owners (see Table 2 ). Architects are typically the lead designers on most construction projects, and they are in charge of creating conceptual ideas, detailed designs, construction-level information, and design analysis [ 137 ]. Architects made up the greatest percentage of stakeholders who participated in the investigations, accounting for roughly fifty-one (51) percent, followed by contractors and engineers, who accounted for forty-four (44) and forty-one (41) percent of the total number of studies respectively.…”

Section: Resultsmentioning

confidence: 99%

A bibliometric analysis of building information modelling implementation barriers in the developing world using an interpretive structural modelling approach

Takyi-Annan¹,

Hong²

2023

Heliyon

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“…For example, interviewee 2 (BIM Modeller) mentioned that, "BIM coordinator and BIM modellers share information with others because it is their job to share project information." Furthermore, the use of BIM application helps project teams to perform their roles and responsibilities more efficiently and effectively (Latiffi et al, 2017). Despite the changing roles in BIM projects (due to additional BIM team hierarchy), interviewees opinionated that BIM tools have a significant impact on how information is being shared by everyone, subsequently influencing how problems are being solved.…”

Section: Discussionmentioning

confidence: 99%

Exploring behavioural factors for information sharing in BIM projects in the Malaysian construction industry

Ibrahim

Sabri

Belayutham

et al. 2018

BEPAM

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Purpose-Despite the wave of enthusiasm for BIM as a platform for information sharing, issues from the context of information sharing behaviours still exist. The aim of this study is to explore the behavioural factors for successful information sharing in Building Information Modeling (BIM) projects in Malaysia. Design/methodology/approach-Based on literature review, a questionnaire was designed containing seven identified behavioural factors and their sub elements. Data was collected through questionnaire survey with forty-two experienced BIM practitioners. In addition to that, qualitative semi-structured interviews were conducted with nine construction practitioners in the Malaysian construction industry. Initially, a descriptive statistical analysis was adopted, followed by multivariate analysis which was employed to examine the possible effect of demographic attributes (i.e. nature of organisation and work experience in BIM) on the behavioural factors. Findings-The analytical results indicated that communication, accountability and trust were the top three behavioural factors influencing successful information sharing. Additionally, majority of the behavioural factors on information sharing were found to be not significantly dependent on both, the nature of organisations and the level of BIM experience. Overall, the success of information sharing in the digital environment (i.e. BIM) depends on organisational behaviour supported by the collaborative constructs. Research limitations/implications-Due to the fact that BIM implementation in Malaysia is still in its infancy, this study was limited to local context with small-scale BIM practitioners. Therefore, their views may not represent all BIM related stakeholders in the industry. Practical implications-The success of information sharing in BIM projects is a result of a combination of various factors and this study provides construction practitioners with information on the behavioural factors, which could assist them in creating collective and collaborative information sharing digital environment. Originality/value-Despite the fact that this study is country-specific, the paper presents a new perspective on the behavioural context of information sharing in BIM projects. The findings further extend the current BIM literature by providing an insight into what it takes for project teams to reinforce their information sharing in the Malaysian digital environment through improvements in behaviours.

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Building information modelling (BIM) after ten years: Malaysian construction players’ perception of BIM

Cited by 8 publications

References 18 publications

Critical success factors for BIM implementation: a Malaysian case study

Critical success factors for BIM implementation: a Malaysian case study

A bibliometric analysis of building information modelling implementation barriers in the developing world using an interpretive structural modelling approach

Exploring behavioural factors for information sharing in BIM projects in the Malaysian construction industry

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