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Ensuring robust health, safety, and environment (HSE) practices is a priority for organizations across various sectors, given their critical role in safeguarding employee well-being and minimizing operational risks. The adoption of enterprise resource planning (ERP) systems has emerged as a viable solution for enhancing HSE management by integrating real-time monitoring, compliance tracking, and risk mitigation processes. However, the effective implementation of ERP systems in HSE applications is influenced by multiple factors, which remain insufficiently explored in existing research. This study identifies and evaluates the key factors that impact the successful deployment of ERP systems in HSE management. A comprehensive literature review was conducted to establish an initial set of factors, which were then validated through expert interviews using the content validity ratio (CVR) method. Subsequently, a survey was administered to professionals within the United Arba Emirates’s public sector to assess the significance of each factor using the relative importance index (RII) method. The findings indicate that safety-related factors, including incident frequency, fatality rates, and injury tracking, are the most critical for ERP implementation. Technology utilization, engagement and training, and incident response time also emerged as key determinants. Conversely, factors related to risk management and mitigation strategies were ranked lower in terms of impact. This study provides practical recommendations to optimize ERP integration for HSE, such as enhancing data analytics for predictive safety insights, improving mobile accessibility for real-time reporting, and strengthening training programs. By prioritizing these factors, organizations, particularly in the UAE public sector, can leverage ERP systems to foster a proactive HSE culture, enhance regulatory compliance, and improve overall safety performance. This research contributes to bridging the knowledge gap on ERP-HSE integration and establishes a framework for future studies to refine and expand upon best practices in this domain.
Almarri et al. (Wed,) studied this question.