Replication Study of Manufacturing Systems Adoption Rates in Kenyan Plants,

The adoption of manufacturing systems in Kenyan plants has been a subject of interest for several years, with varying results reported across different studies. However, there is a need to validate and replicate methodologies used to measure adoption rates accurately. A structured randomized field trial was employed to assess the adoption rates of manufacturing systems in Kenyan plants. The study utilised a binary logistic regression model to estimate the probability of system adoption based on plant characteristics and industry sector. In this replication study, we observed an adoption rate of 65% for advanced manufacturing systems among randomly selected plants, with significant variation between sectors (manufacturing vs. agriculture). The findings confirm the reliability of the randomized field trial method in measuring adoption rates and highlight sector-specific differences that were not previously evident. Future studies should consider stratifying by industry to better understand adoption dynamics within different sectors, enhancing the generalizability of results. The empirical specification follows $Y=\beta_0+\beta^\top X+\varepsilon$, and inference is reported with uncertainty-aware statistical criteria.