EFFECT OF RISK MANAGEMENT PRACTICES ON THE PERFORMANCE OF CONSTRUCTION FIRMS IN NAIROBI COUNTY, KENYA

Abstract

The construction industry in Kenya plays a vital role in the country's development, contributing approximately 7% to the GDP; however, the sector faces numerous challenges, including delayed project completions, poor quality deliverables, and widespread client fund misappropriation, which underscore the critical need for effective risk management practices. Notable cases involve developers such as Banda Homes, Dinara Developers, and Lettas Developers who have been accused of defrauding home buyers without delivering promised housing units, highlighting systemic performance issues within the sector. This study addresses the lack of empirical evidence on how structured risk management practices influence construction firm performance in Nairobi County, an under-researched context in Africa where limited studies have systematically examined the relationship between specific risk management approaches and organizational outcomes. Using a descriptive research design, data was collected from a sample of 222 construction industry professionals drawn from a target population of 495 professionals across various organizational levels, achieving 185 completed responses representing an excellent 83.3% response rate from Finance Managers, Project Managers, Project Engineers, and Contractors through structured questionnaires validated for content validity (CVI = 0.96) and reliability (Cronbach's α ≥ 0.84), and subsequently analyzed using IBM SPSS software employing comprehensive descriptive statistics, correlation analysis, and multiple linear regression to examine relationships between risk management practices and firm performance indicators. The study revealed varying levels of implementation across different risk management practices and their significant correlations with financial performance outcomes, with risk identification practices implemented to a large extent showing moderate positive correlation with performance, risk evaluation practices implemented to a moderate extent demonstrating similar correlation patterns, risk mitigation practices more extensively implemented exhibiting strong positive correlation, and notably, risk monitoring practices implemented to the largest extent showing the strongest relationship with performance. Multiple regression analysis further reinforced these findings, revealing that the combination of all four risk management practices significantly predicted financial performance, explaining a substantial 53.6% of its variance (R² = 0.536, F = 51.724, p < 0.001), with risk monitoring emerging as the strongest predictor (β = 0.331, p < 0.001), followed by risk mitigation (β = 0.268, p = 0.002), risk identification (β = 0.174, p = 0.035), and risk evaluation (β = 0.152, p = 0.050), demonstrating the differential impact of various risk management dimensions on organizational outcomes. The findings provide compelling evidence that systematic risk management practices significantly enhance construction firm performance in Nairobi County, contributing to theoretical understanding by providing empirical evidence of the differential impact of specific risk management practices while offering practical, evidence-based guidance for construction firms seeking to improve performance through strategic risk management investments, with particular emphasis on risk monitoring and mitigation strategies which showed the strongest impact on financial performance. The findings will inform firms' best practices and strategic decision-making processes, guide regulatory frameworks and policy development for establishing industry standards and mandatory risk management requirements, and influence curriculum design for risk management education in construction programs at both professional and academic institutions.