Yunfeng Chen

A measurement model of building information modelling maturity

Purpose – There is a growing requirement for a rating system of building information modelling maturity (BIMM) to compare the effectiveness of modelling processes in construction projects. The literature related to BIMM contains theoretical proposals and description of their maturity models. However, the research efforts are limited and lacking substantial theoretical and empirical justifications. This paper is a unique attempt to integrate previous models by performing empirical investigations of key factors for measuring BIMM in construction projects. The paper aims to discuss these issues. Design/methodology/approach – A national survey was designed to extract the perception of 124 BIM-related practitioners and academicians about the conceptual model. Then, exploratory and confirmatory factor analyses were employed to identify and test the key factors underlying the 27 areas. Findings – A principal component factor analysis of the collected data had suggested a five-factor model, which explained 69.839...

Structural Equation Model of Building Information Modeling Maturity

AbstractFor the implementation of building information modeling (BIM), an incompatible development among various aspects of a business can lead to different levels of BIM maturity (BIMM) or even project failure. Therefore, it is important to identify key causal factors of BIMM. This research develops a structural equation model of BIMM through three-step multivariate analysis. It starts with exploratory factor analysis to identify three key BIMM factors, which are further tested with confirmatory factor analysis. The causal relationships among the three factors and BIMM are then proposed and validated with structural equation modeling. This research has both practical and theoretical contributions. Practically, the proposed model can be used by practitioners to initiate and evaluate their BIM implementation. Theoretically, the result provides empirical evidence for the multidimensional nature of BIMM and insights into the causal relationships among the factors. Specifically, the factors of process managem...

USA Practitioners’ Perception of BIM Maturity

This paper examines the USA practitionerOs perspective of Building Information Modeling Maturity (BIMM). The objective is to better identify the BIMM indicators from practitionersO perspective as it would provide better insight and feedback into the use and practice of BIM in the USA industry. This would help fill the gap in understanding and breaking down the complexity of BIM and will allow for better approaches to BIM education and more tangible adoption in Industry. The study is structured based off the four BIMM factors of Technology, Information, Process and People. A survey was used as the research methodology with a breakdown of the survey responses based on their business type and number of years working with BIM. The research findings indicate that Information is the most important maturity factor, followed by Process and the lowest ranked maturity factor is People followed by Technology. The findings of this study has both academic and industry value as it gives greater insight to the practitioners perspective of the different maturity indicators and as such can be used to develop better BIM education and industry adoption practices.