Risk Analysis of the Construction Industry’s Transition to a Digital Platform–Based Contract Fulfillment Management Model

Global economic volatility, compounded by multisource uncertainties across policy, supply chains, and the environment, has significantly intensified the systemic risks in construction projects. These projects increasingly are subject to technical, managerial, and financial constraints. To achieve sustainable and highly resilient delivery, the industry is transitioning its management paradigm toward data-driven, platform-based governance. However, existing risk assessment frameworks for this transition remain fragmented, particularly in uncertainty characterization, risk perception calibration, and dynamic correlation modeling. This study developed a novel risk assessment model to systematically identify and quantify the risks inherent in the construction industry’s transition toward a digital platform–based contract performance model. The model’s robustness was demonstrated through a practical case study, sensitivity analysis, and comparative analysis. It effectively identifies key risks during the industry’s transition toward automated governance and quantitatively evaluates the comprehensive risk level. The case results showed an overall risk score of 0.4786 (Category 3, moderate), and identified digital platform system stability and technology updating and iteration capability as the most critical risk factors. This research provides a novel methodology for risk assessment during the construction industry’s management transformation. It also offers practical support for decision-making in resilient and sustainable construction management.