Liu, Z; Lu, Y; Nath, T; Wang, Q; Tiong, R L K and Peh, L L C (2022) Critical success factors for BIM adoption during construction phase: A Singapore case study. Engineering, Construction and Architectural Management, 29(9), pp. 3267-3287. ISSN 0969-9988
Abstract
Purpose: As a pillar of integrated digital delivery (IDD), building information modeling demonstrates the tremendous potential to enhance productivity for the architectural, engineering and construction (AEC) industry worldwide. However, the implementation of digital solutions presents numerous challenges related to its adoption and implementation. Distinguishing a comprehensive set of critical factors can facilitate the construction professionals to execute their strategies in a properly planned manner, thus augmenting the possibilities of successfully implementing BIM in their organization. This study aims to identify critical success factors (CSFs) for BIM adoption and implementation in Singapore. Design/methodology/approach: This study adopted structured empirical questionnaire survey. Relevant data were collected from the various stakeholders in Singapore AEC industry through an online survey questionnaire. Furthermore, data analysis was done using SPSS Statistics software in order to identify the key factors (KFs) based on which the CSFs were derived for BIM adoption and implementation during the construction phase. Findings: From a set of 45 influencing factors, 35 KFs were derived after performing ranking analysis, from which a set of 26 CSFs were finally obtained based on the factor analysis methodology. Originality/value: This study has identified the CSFs of BIM adoption in Singapore, as well as in the builders' perspective on how to enhance the digitalization in construction projects.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information modeling; construction; technology |
| Index terms: | Singapore, influencing factor, building information modelling, case study, productivity, critical factor, construction professional, factor analysis, implementation, construction phase, statistics, data analysis, digitalization, strategy, survey, builder, methodology, construction project, questionnaire, critical success factor |
| Subjects: | control systems, practitioner, data collection methods, risk assessment, mathematical modelling, data analysis and analytics, contractual arrangements, project delivery, digital technology, production management, Geography, professional development, management, research methods, information systems, statistical analysis |
| Topics: | Digital Applications, Information Management, Research Practice, Project Management, Geographical Context, Business Strategy, Procurement, Risk Management, Roles and Professions |
| 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