Examining the Correlation of Critical Factors for Effective Quality Control Performance in TARURA Road Infrastructure Projects

This study examines the interrelationships among key determinants of quality control performance in road infrastructure projects implemented under the Tanzania Rural and Urban Roads Agency. The quantitative approach was adopted, and data analysed using the SPSS package was used together with the Principal Component Analysis (PCA) analysis test that produced four classified factors represented by the model path diagram: Human Resource Capacity (HRC), Procedural and Technical Compliance (PTC), Stakeholder Communication (SC), and Systemic Institutional Control (SIC) to facilitate effective quality control performance. The findings reveal a hierarchical correlation structure in which HRC emerges as the most influential construct. A strong positive correlation (r = 0.69) between HRC and SIC indicates that skilled personnel, training, and contractor competence are critical in facilitating adherence to technical standards and quality procedures. Similarly, PTC demonstrates a substantial and strong association with SC (r=63), suggesting that workforce capacity significantly enhances communication efficiency among project stakeholders. In contrast, SIC exhibits relatively weak correlations with other constructs (r = 0.30–0.50), indicating that while management commitment and enforcement mechanisms are relevant, they function primarily as enabling rather than driving factors. The results underscore that quality control performance is shaped by a system of interdependent variables rather than isolated interventions. The study concludes that strengthening HRC is the most reliable strategy for improving overall quality outcomes. However, persistent gaps in digital quality control tools and on-site expertise constrain performance. A combined approach involving capacity building, standardised communication protocols, and gradual technological integration is recommended to enhance infrastructure durability and optimise resource utilisation.