Enhancing Project Performance through Risk Management Practices in Construction Companies in Delta State, Nigeria

Abstract

This study examines the effect of risk management practices risk identification, risk assessment, and risk mitigation on project performance in construction companies in Delta State, Nigeria. Employing a quantitative, cross-sectional survey design, data were collected from 240 respondents selected through stratified random sampling to ensure proportional representation of project managers, site engineers, quantity surveyors, and risk officers. Out of the distributed questionnaires, 220 were valid, yielding a 91.7% response rate. Reliability testing confirmed strong internal consistency across constructs (Cronbach’s Alpha = 0.85–0.90). Descriptive statistics revealed high mean scores for risk identification (M = 4.12), risk assessment (M = 4.05), risk mitigation (M = 4.15), and project performance (M = 4.08), indicating widespread agreement on the importance of these practices. Correlation analysis demonstrated strong positive associations between risk management practices and project performance (r = 0.66–0.71, p < 0.01). Regression analysis further established that risk identification (β = 0.348, p < 0.001), risk assessment (β = 0.301, p < 0.001), and risk mitigation (β = 0.362, p < 0.001) significantly predict project performance, with risk mitigation exerting the strongest effect. The model explained 63.7% of the variance in project performance (R² = 0.637), underscoring the predictive strength of these practices. The originality of this study lies in its empirical demonstration of the combined and individual effects of risk management practices within the Nigerian construction sector, a context often underrepresented in global project management literature. By integrating statistical evidence with practical insights, the study provides a framework for embedding risk management into project execution, thereby enhancing cost efficiency, timely delivery, quality, and resilience. The findings contribute to both theory and practice by reinforcing the critical role of proactive risk management in sustaining project success and offering actionable recommendations for construction firms to strengthen early identification, adopt robust assessment techniques, and prioritize mitigation strategies.