{ "background": "The adoption of advanced diagnostic systems for industrial machinery fleets is a critical policy lever for improving productivity and safety in the engineering sector. However, evidence on effective interventions to accelerate uptake in emerging economies is scarce, with a notable lack of rigorous field evaluations.", "purpose and objectives": "This policy analysis aims to evaluate the causal effect of a targeted support programme on the adoption rates of fleet diagnostic technologies. It seeks to determine the programme's efficacy and identify key barriers to implementation within the local industrial context.", "methodology": "A randomised field trial was conducted with a cohort of medium-to-large industrial firms. Participants were randomly assigned to a treatment group receiving technical and logistical support for system integration, or a control group. Adoption was measured via system utilisation logs. The primary analysis used a logistic regression model: $\\logit(pi) = \\beta0 + \\beta1 Ti + \\mathbf{X}i\\boldsymbol{\\beta}$, where $pi$ is the probability of full adoption, $Ti$ is the treatment indicator, and $\\mathbf{X}i$ is a vector of firm-level covariates. Robust standard errors were employed.", "findings": "The intervention produced a statistically significant increase in adoption. The estimated odds ratio for the treatment effect was 2.45 (95% CI: 1.78 to 3.36). A key thematic finding was that firms with dedicated maintenance teams integrated the diagnostics 40% more effectively, highlighting the critical role of organisational structure.", "conclusion": "The support programme proved effective in overcoming initial adoption hurdles. The findings underscore that technological adoption is not merely a procurement decision but a process dependent on complementary organisational capabilities.", "recommendations": "Policy should move beyond subsidy-based approaches to include structured technical support and change management guidance. Incentives should be designed to encourage the development of in-house technical teams alongside technology acquisition.", "key words": "technology adoption, randomised controlled trial, industrial maintenance, policy evaluation, fleet management, diagnostic