Abstract/Summary

Accelerating digitalisation has long been perceived to lead the way to a more efficient, sustainable, and resilient construction industry. Digital Technologies (DTs) are used to support and automate construction operations, project management tasks, and decision-making throughout the construction value chain with expected benefits such as cost-time savings and improved safety. The common narrative is that DTs lead to higher predictability and less uncertainty/vagueness through better data management capabilities. Digitised project risk management as a new mode of managing risk in the construction industry has the potential to change the way risks are perceived, assessed, and managed. In this paper, the propositions made in the literature for digitised Construction Project Risk Management (CPRM) were unpacked. The content analysis provided a nuanced understanding of the context related to prevailing themes, research methodologies, risk-related parameters, RM processes, and the most widely utilised DTs and computational techniques. The findings demonstrated extensive research on managing project performance risks, especially health and safety, through fuzzy systems, Building Information Modelling (BIM), and Artificial Intelligence (AI)-based data extraction and representation. Emerging themes were identified around 1) human-centric studies on risk perception and behaviour enabled by DTs, such as Human-Robot Interaction (HRI), immersive technologies, and wearable sensors, 2) integrated platforms, such as digital twins and Cyber-Physical Systems (CPS), that can combine multiple RM processes, and 3) a sustainability-focused approach to managing risks related to the Environmental and Social Governance (ESG) in construction projects. This comprehensive synthesis of knowledge on digitised CPRM contributes to the body of knowledge by revealing research trends, contextualising applications of DTs, and guiding future research and practice.