Developing critical success factors for the assessment of BIM technology adoption: Part II. Analysis and results

Building information modeling (BIM) is the process of creating and managing parametric digital models of a building (or a piece of infrastructure) during the building’s life cycle and across business functions. For developing Critical Success Factors (CSF) for assessment of BIM technology adoption at an organizational level, this second part of the paper focuses on factor analysis, causal relationship analysis, and reliability tests analysis. The first part of the paper has proposed a five-step empirical approach to derive CSFs and has identified 80 key factors (KF) that are significant attributes for BIM adoption, which are subjected to further analysis in this second part. The results find 58 CSFs that are manageable and critical for BIM adoption within architecture, engineering, and construction organizations, which insure BIM-based business objectives if they are partially or fully accomplished satisfactorily. The applicability of the CSFs for BIM adoption is illustrated using a hypothesized framework for BIM adoption assessment. The framework consists of eight BIM performance criteria and two outcomes modeled as a BIM business value chain. Although only a small amount of survey data have been collected (but of good quality), the proposed approach is shown to be able to handle this small collection of data and derive useful CSFs for the current practices of BIM adoption in Taiwan, where BIM adoption is still at an early stage.