Critical success factors for building information modelling (BIM) implementation in Hong Kong

Chan, Daniel W.M.; Olawumi, Timothy O.; Ho, Alfred M.L.

Abstract

Purpose – Some initiatives have been proposed and implemented to facilitate successful project delivery and improve coordination and collaboration in the design, construction and management phases of project development. Building information modeling (BIM) is one of those initiatives that, though recent, however, have made a significant impact on the construction industry in some countries. The paper aims to discuss this issue. Design/methodology/approach – This paper aims to explore the critical success factors for BIM implementation in the architecture, engineering and construction industry of Hong Kong through a mixed research method (structured empirical questionnaire survey and expert interviews). Findings – The most influential success factor relates to the client’s acceptance with BIM projects, proper organizational structure to support a BIM system within the company and financial aid from the government to set up the BIM system. The expert interviewees also stressed the need for willingness from project staff members to learn and utilize BIM. Practical implications – This study has contributed to the establishment of more practical and effective strategies for ensuring full adoption of BIM in Hong Kong. Practical recommendations for enhancing BIM adoption in the construction industry were highlighted. Originality/value – This study has established the key drivers leading to the success of BIM implementation in Hong Kong, as well as in the perspective of construction experts on how to enhance its uptake in construction projects.

Citation

Chan, D. W., Olawumi, T. O., & Ho, A. M. (2019). Critical success factors for building information modelling (BIM) implementation in Hong Kong. Engineering, Construction and Architectural Management, 26(9), 1838-1854. https://doi.org/10.1108/ecam-05-2018-0204

• Journal Article Type: Article
• Acceptance Date: May 28, 2019
• Online Publication Date: Aug 6, 2019
• Publication Date: 2019-09
• Deposit Date: Oct 9, 2021
• Publicly Available Date: May 12, 2022
• Journal: Engineering, Construction and Architectural Management
• Print ISSN: 0969-9988
• Electronic ISSN: 1365-232X
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• Volume: 26
• Issue: 9
• Pages: 1838-1854
• DOI: https://doi.org/10.1108/ecam-05-2018-0204
• Keywords: building information modelling; construction; technology
• Public URL: http://researchrepository.napier.ac.uk/Output/2804059