Measurement of Theoretical Relationships in Building Information Modelling Adoption in Malaysia

Implementing Information technology (IT) in a system presents varied responses. Prior research models in IT adoption examine dimensions not limited to attitude, subjective norm, ease of use, usefulness, innovation including several moderating variables. Despite consistent blueprints on leverage on IT in the Malaysian construction industry master plan, the exponential growth rate of building information modeling (BIM) experiences various challenges in Malaysian construction industry. Hence, this paper presents results from a BIM model study. The model dimensions are people, process, technology, strategic IT planning and collaborative planning aimed at improving BIM adoption. Data was drawn from construction industry professionals (Architects, Quantity Surveyors, Contractors and Engineers). A total of 14 hypotheses were generated. The analysis was carried out with Statistical Package for Social Sciences (SPSS) to test the Chronbach Alpha while Smart PLS, a rapidly increasing Partial Least Square (PLS) software to test the hypothesized relationships in the model. The Cronbach Alpha derived was above 0.6 minimum threshold. 5 out of the hypotheses were insignificant while business process re-engineering (BPR) had the highest effect on BIM adoption. The findings points a path for major managerial decision making choices as to which areas in the construction industry to improve upon. Future research should project towards extension of the model, test other unperceived mediating variables and other varied sample population.