Knowledge-Enabled Building Information Modelling: A Framework for Improved Decision-Making

Purpose: The purpose of this study is to build an integrated framework that provides a methodical approach to managing the knowledge produced by Building Information Modelling (BIM) procedures. Theoretical framework: BIM has revolutionized the approach to building design and construction projects; nevertheless, managing the vast amounts of heterogeneous data produced by the various BIM processes is a very difficult task. The need of knowledge management (KM) for successful BIM implementation is becoming widely acknowledged as it will allow organisational stakeholders to make strategic decisions, reduce errors, and improve results. Methodology: Both primary and secondary data were collected in this research. This data was utilized to develop an initial version of the KM-based BIM framework, which underwent a thorough two-phase expert evaluation process via interviews with industry experts to enhance the framework's applicability and relevance. Findings: The significant factors influencing KM in the context of BIM were identified. Moreover, through the expert evaluation process, it was determined that the proposed KM-based BIM framework provided valuable assistance in addressing these factors and in managing BIM organisational knowledge. Research implications: The research has implications for the field of building design and construction projects. By promoting the adoption of a KM-based BIM framework, it seeks to address the challenges associated with managing heterogeneous data and information silos. The framework has the potential to improve the decision making process in the context of BIM. Originality/value: This is the first research providing a methodical approach to managing BIM-related knowledge through KM, and that provides an expert-validated framework for improved decision making.