Enablers for BIM application in architectural design: a robust exploratory factor analysis approach

Abstract

Professional architects with several years of experience in various projects have unique methods to design an architectural work. One of these approaches is to leverage the value of emerging information technologies such as Building Information Modelling (BIM) in architectural design. Leveraging these potentials requires promoting an appropriate context for the implementation and adoption of these new technologies. In response to the turbulent and multifaceted socio-technical nature of modern information technologies and the environmental uncertainty, architects enhance enablers to advance the architectural design process. Enablers are the preeminent factors that facilitate the implementation of new technologies and contribute to the sustainable development of projects and organizations. Given the lack of dedicated studies on the enablers affecting BIM application, this study aims to identify and classify these enablers in the architectural design phase. Following a systematic literature review approach, a comprehensive list of enablers for BIM application in the architectural design phase was identified. The prepared survey questionnaire was distributed to 205 construction experts (i.e. project managers, employers, consultants, and contractors). The collected data were analyzed with the Robust Exploratory Factor Analysis method, ended up with classifying 36 enablers into four main categories: human skills, environmental, technological, and organizational factors. The findings of this study, considering the organizational enablers, recommend that the support of government officials to implement a particular validation process for BIM adoption is crucial. The contribution of this research lies in identifying and classifying enablers for BIM application in the architectural design phase, with the potentials to be applied in real work practices to improve BIM capabilities and enhance BIM initiatives in construction projects.

Keywords:

• Architectural design
• BIM enablers
• Building Information Modelling (BIM)
• robust exploratory factor analysis (EFA)
• IT value for the construction industry

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1 https://www.elsevier.com/solutions/scopus/why-choose-scopus.

Additional information

Funding

This work was funded by Grant Agency of the Czech Republic, GAČR (grant no. GA20-12081S).