This study examines the adoption rates of process-control systems (PCS) in Kenyan industries through a quasi-experimental design, focusing on identifying factors that influence PCS implementation. A mixed-methods approach combining quantitative surveys (N=200) with qualitative interviews was employed to analyse data from selected industries in Kenya. Statistical models were used to estimate causal effects, incorporating robust standard errors for uncertainty quantification. PCS adoption varied significantly across sectors: manufacturing showed a 45% higher rate of adoption compared to agriculture (p < 0.01). Economic incentives and supportive regulatory measures were key drivers in increasing PCS usage. The study highlights the importance of tailored policy interventions for promoting PCS adoption, particularly in sectors where economic benefits are more pronounced. Governments should focus on sector-specific policies that include targeted financial support and compliance incentives to accelerate PCS implementation across Kenya. Process-Control Systems Adoption Quasi-Experimental Design Kenyan Industries Economic Incentives Regulatory Frameworks
Oluoch Haliwa (Sun,) studied this question.