The adoption rates of process-control systems in Tanzanian engineering projects have been under scrutiny for their effectiveness and scalability. A mixed-method approach incorporating quantitative data on project performance metrics and qualitative insights from interviews with stakeholders will be employed. The study employs statistical models such as logistic regression for predicting adoption rates while accounting for potential confounding factors like funding availability and technical expertise. Initial analysis suggests a significant positive correlation (p < 0. 05) between the implementation of process-control systems and improved project outcomes, indicating higher success rates in terms of quality control and cost management. The quasi-experimental design demonstrates promising results for process-control system adoption, providing insights into how to enhance engineering practices in Tanzania. Based on findings, policymakers are recommended to prioritise training programmes that align with industry standards and encourage the use of these systems across Tanzanian engineering sectors. Process-Control Systems, Adoption Rates, Quasi-Experimental Design, Engineering Practices, Tanzania The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Hanga et al. (Mon,) studied this question.
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