Sinoh, S S; Othman, F and Ibrahim, Z (2020) Critical success factors for BIM implementation: A Malaysian case study. Engineering, Construction and Architectural Management, 27(9), pp. 2737-2765. ISSN 0969-9988
Abstract
Purpose: This 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/approach: A 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. Findings: Results 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/implications: This 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 implications: This 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/value: This 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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information modeling; construction planning; organization; project management |
| Index terms: | relative importance, survey, success factor, government initiatives, inter-firm collaboration, strategy, structural equation modelling, questionnaire, Likert scale, methodology, population, critical success factor, case study, variance, building information modelling, Malaysia, construction industry development, hardware, statistical method, sampling, dynamics, traditional building, principal component analysis, construction planning, project management, coordination, interaction, implementation |
| Subjects: | business, data collection methods, construction type, risk assessment, control systems, computer hardware, construction planning, health monitoring assessment and metrics, contractual arrangements, research methods, management, development economics, project management theory and practice, Geography, measurement and scaling, demography, information systems, behavioral psychology, political science, systems engineering, statistical analysis |
| Topics: | Research Practice, Project Management, Geographical Context, Engineering Principles, Business Strategy, Health and Safety, Construction Technology, Procurement, Governance, Risk Management, International Construction, Urban Studies, Digital Applications, Site Management, Organizational Design |
| Descriptive scope: | 5 PCTEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here