Financial risk management and sustainable development with computerised accounting systems in Chinese construction

Purpose This study aims to study the connection between financial risk management frameworks (FRMF) and sustainable development practices (SDPs) within Chinese project construction. In addition, this study examines the role that Computerised Accounting Information Systems (CAIS) play in improving projects’ efficiency and resilience. This research also investigates the effect of operating efficiency on the interaction between FRMF and SDPs. Design/methodology/approach The research utilises data collected through a structured questionnaire survey administered to construction project managers across China. The 249 valid responses were analysed by using the partial least squares structure equation modelling (PLS-SEM) method to evaluate the hypothesis proposed. Findings The research results show that FRMF has a positive impact on SDPs, while operational efficiency (OE) significantly influences this connection. In addition, CAIS enhances the effect of FRMF on improving SDPs, making it easier to connect risk management and sustainable practices. The findings confirm the modulating importance of CAIS in boosting the resilience and profitability of construction projects. Practical implications The research highlights the significance of incorporating CAIS in FRMF, which maximises operational efficiency and sustainably achieves results in construction projects. Construction managers and policymakers are encouraged to concentrate on enhancing CAIS infrastructure and training for long-term sustainability and resilient projects. Originality/value This study is among the first to empirically explore the dual role of CAIS as a moderator and OE as a mediator in the link between financial risk management and sustainable development practices in the Chinese construction sector. It contributes a novel theoretical framework that combines digital accounting systems with sustainability strategies under conditions of financial uncertainty.