{ "background": "Industrial machinery fleets in developing economies face significant operational risks, yet there is a paucity of field-based, comparative evaluations of risk reduction methodologies tailored to these contexts. Existing frameworks often rely on theoretical models or data from high-income countries, limiting their applicability. ", "purpose and objectives": "This study aimed to empirically evaluate the comparative effectiveness of two distinct risk reduction methodologies—a technology-based monitoring system and a procedural safety overhaul—for industrial machinery fleets. The primary objective was to quantify the reduction in incident rates attributable to each intervention. ", "methodology": "A quasi-experimental design was employed, with three matched groups of heavy machinery fleets: two intervention groups and one control group. Data were collected over an operational period. The core analysis used a generalised linear model with a Poisson distribution: \ (EYi) = \0 + \1 Ti + \2 Pi + \3 Xi + \, where Yi is the incident count for fleet i, and Ti and Pi are indicators for the technology and procedural interventions, respectively. Robust standard errors were calculated. ", "findings": "The technology-based intervention yielded a statistically significant reduction in incident rates, with an incidence rate ratio of 0. 62 (95% CI: 0. 51 to 0. 75). The procedural overhaul showed a smaller, non-significant reduction (IRR = 0. 89, 95% CI: 0. 72 to 1. 10). The control group's incident rate remained stable throughout the study period. ", "conclusion": "Technology-integrated monitoring systems demonstrated superior effectiveness in reducing machinery-related incidents compared to procedural changes alone under the studied conditions. This suggests that capital investment in specific monitoring technologies can be a highly effective risk mitigation strategy. ", "recommendations": "Fleet operators should prioritise investment in real-time monitoring technologies as a primary risk control measure. Regulatory bodies should
Chinelo Okonkwo (Sat,) studied this question.