Building Information Modelling (BIM) and Job Performance: An Empirical Analysis in Public Sector Project Management

Abstract

The construction sector often faces various problems especially related to time, rising costs, project delays, waste and errors that can hinder the economic development. In order to overcome the problems, application of Building Information Modeling (BIM) in construction project is actively implemented in improving work efficiency and performance among industry practitioners especially in developed countries. Nonetheless, the ability of BIM towards highlighting its productivity and performance cannot be seen in the construction industry in Malaysia and faces several challenges that affected the job performance. Therefore, this study examines the relationship between various critical success factors and job performance among professionals who have used BIM applications in construction of project management. The stratified sampling method with the population of 345 professionals who practice the use of BIM applications in construction project management are applied in the study. The total population was collected from a preliminary study of the number of pre-contract stages in PWDs that had implemented BIM. Two models were constructed to be analyzed for multiple regression analysis. Findings revealed that four factors (collaborative synergy, ICT utilization, commitment and knowledge, culture orientation) have a significant positive relationship with job performance. While, external factor (collaborative synergy) has the most significant influence on job performance among those involved with the use of BIM applications. The findings of the study also have highlighted two major weaknesses that limit the effectiveness of the use of BIM applications are related to digital skills among staff and lack of support from management. These elements of weaknesses are seen to have affected the work performance in Malaysian construction sector. In the future research, to get more comprehensive view it is suggested several other factors especially external factors such as government policy and legislation, BIM guidelines and standards are to be considered in the study.