This study examines the adoption rates of transport maintenance depot systems in Kenya by analysing their effectiveness across different levels of the system. A multilevel regression model was employed to analyse data from various maintenance depot systems in Kenya. The study aimed at identifying significant predictors of system adoption at both individual and organisational levels. The multilevel regression analysis revealed that the level of public sector investment significantly influenced the adoption rate of transport maintenance depots, with a coefficient estimate of +0. 56 (95% CI: 0. 32, 0. 80). This study contributes to the literature by providing empirical evidence on factors affecting the implementation of transport maintenance depot systems in Kenya. Based on the findings, policymakers are encouraged to increase public sector investment and engage stakeholders more effectively to enhance the adoption rates of these depots. The maintenance outcome was modelled as Y₈ₓ=₀+₁X₈ₓ+uᵢ+₈ₓ, with robustness checked using heteroskedasticity-consistent errors.
Gitonga et al. (2013) studied this question.