Components for Acceptance and Adoption of a Building Information Modeling (BIM) for Design and Construction Phasing in the Industrial Sector

Abstract

This research was quantitative research studying the components of the acceptance and adoption of building information modeling for design and construction phasing in the Industrial sector. The sample group included design companies and construction contractors that used building information modeling in their operations in the industrial sector. The Cochran formula was employed for calculating the sample resulting in 418 samples which were selected using purposive sampling. The tool used to collect data was a closed-ended online questionnaire, subjected to testing for content validity and reliability.  The reliability was assessed through Cronbach’s Alpha coefficient, resulted in score of 0.98. The data was analyzed using Exploratory Factor Analysis (EFA), which is a data analysis technique used to identify common components and group new components. The study found that there were 5 factors as follows: 1) Technology factor (KMO=0.921) 2) Organizational characteristics factor (KMO=0.773) 3) External environmental factor (KMO=0.808) 4) Economic factor (KMO=0.820) 5) Resource-related factor (KMO=0.756). The analysis showed that all 5 factors significantly affected the acceptance of building models. It was found that there were 2 factors, namely 1) Resource-related factor (KMO=0.756) and 2) Intention to use technology (KMO=0.682), that directly influenced the adoption of building models in design and construction in the industrial sector. Therefore, the management of these factors should be emphasized to effectively implement building models.