Methodological Scrutiny of Process-Control Systems for Risk Mitigation in Ghana: A Quasi-Experimental Assessment

Process-control systems are critical in managing risk mitigation within infrastructure projects to ensure project success and safety. A mixed-methods approach was employed, including surveys, interviews, and statistical analysis to assess system performance and impact on risk levels. The findings indicate that the implementation of process-control systems led to a 20% reduction in reported construction risks compared to pre-intervention periods (95% CI: -18.5%, -21.6%). Process-control systems significantly enhance risk management within Ghana's construction industry, offering a robust framework for future interventions. Further studies should explore the scalability and long-term sustainability of these systems across different sectors in Ghana. Ghana, process-control systems, risk mitigation, quasi-experimental design, statistical analysis The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.