Assessing building information modeling implementation readiness in building projects in Singapore: A fuzzy synthetic evaluation approach

Abstract

Purpose

The purpose of this paper is to identify critical non-value adding (NVA) building information modeling (BIM) implementation activities in current building project delivery process, develop a BIM implementation readiness (BIMIR) evaluation model, and assess BIMIR statuses in building projects in Singapore.

Design/methodology/approach

A questionnaire survey and four post-survey interviews were conducted in Singapore. A fuzzy synthetic evaluation approach was adopted in the model development.

Findings

In total, 38 out of 44 NVA BIM implementation activities were deemed critical and used in the proposed model, among which “lack of involvement by contractors to contribute site knowledge” in the design development phase was ranked top. This model was validated in five projects. It was found that most of 73 surveyed building projects were in a low BIMIR status and the assessment results were consistent with current industry practices of BIM implementation in Singapore.

Research limitations/implications

There may be geographical limitation on the identification of the critical NVA BIM implementation activities. However, because BIM mandate spreads globally, the findings can help overseas project teams customize their own NVA activities and evaluation models.

Practical implications

As BIM implementation is mandated in Singapore, BIMIR evaluation helps local project teams identify weak areas of their BIM implementation activities and prioritize resources to enhance those areas.

Originality/value

No tool has been developed for evaluating BIMIR at the project level in the construction industry in Singapore or at large in Asia. Four BIMIR statuses are defined, which are consistent with Singapore’s BIM guidelines and standards.

Citation

Liao, L., Teo Ai Lin, E. and Low, S.P. (2020), "Assessing building information modeling implementation readiness in building projects in Singapore: A fuzzy synthetic evaluation approach", Engineering, Construction and Architectural Management, Vol. 27 No. 3, pp. 700-724. https://doi.org/10.1108/ECAM-01-2019-0028