Strategic Alignment of Construction Organisational and Big BIM Data: The Development of a Theoretical Model

Assets are economic resources with inherent value that can be converted to monetary form. Failing to manage data is similar to manage capital, leading to waste and missed opportunities. Hence, effective data management is crucial for organisations to extract value from their data assets, just as they do with financial and physical assets. Based on this notion, this research suggested that the Architecture, Engineering, and Construction (AEC) sector has transitioned from traditional data management into the “big data” era, confronting complex challenges characterised by the six Vs: Volume, Velocity, Variety, Viscosity, Volatility, and Veracity.
The study employs a systematic literature review (SLR) and bibliometric analysis (BA) covering the period from 2013 to 2023, identifying a growing body of work on the integration of BIM with big data technologies. Keyword co-occurrence analysis has unveiled prominent themes emphasise the critical role of data management in the AEC sector. Semi-structured interviews complement these findings by emphasising the widespread integration of BIM into the business operations, strategic management, and technical frameworks of AEC organisations. The Strategic Alignment Model (SAM) is used to analyse these interviews, revealing critical success factors within each SAM’s domain and providing deeper insights into the practical implementation and challenges associated with big BIM data advancements.
By focusing on the strategic value of big BIM data and its integration into both technical and managerial domains, this study sets forth a robust agenda for future research. It aims to explore four critical alignments within this framework. Therefore, hypotheses related to these alignments perspective can be assessed for validity, and reliability in future reserarch.