Methodological Evaluation of Manufacturing Plant Systems in Kenya Using Panel Data for Adoption Rate Measurement

Manufacturing plants in Kenya face challenges related to system adoption rates, necessitating a methodological evaluation. A panel-data estimation approach was employed to analyse the impact of various factors on system adoption among Kenyan manufacturers. Panel-data analysis revealed a significant positive correlation between training programmes and system adoption rates, with an estimated coefficient of +0.56 (95% CI: 0.42-0.71). The study concludes that tailored training programmes significantly enhance the adoption rate of manufacturing plant systems in Kenya. Manufacturers and policymakers should prioritise investment in employee training to improve system adoption rates and overall productivity. manufacturing, panel data, adoption rate, Kenyan factories The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.