Perceived and expected cost optimisation affordances of building information modelling in Sri Lankan construction projects

Abstract

Building information modelling (BIM) has been widely recognised for its potential within the construction sector to optimise the construction process. This study aims to investigate the cost optimisation affordances of BIM and analyse the perceived and expected affordances within the Sri Lankan construction sector. The study adopted a mixed-method research approach where semi-structured interviews with industry experts were conducted to identify and validate key affordances, followed by a questionnaire survey to assess their significance. Content analysis and the Relative Importance Index (RII) technique were used for data analysis. The findings reveal that cost estimation accuracy, improved project coordination and reduction of variation and claims are the most significant cost optimisation affordances of BIM. Furthermore, strategies for enhancing the realization of BIM’s potential were identified, emphasising stakeholder training and policy development. This study contributes to theory by addressing the knowledge gap in affordances related to cost optimisation and provides practical insights for practitioners in the Sri Lankan construction industry to maximise the benefit of BIM for cost optimisation.