Prioritizing decision-making of health and well-being response tactics: Incorporating organizational and individual shared demands

As a major energy source in China, the occupational health and well-being (OHW) of miners is a priority. Various statistical techniques have been used to identify factors or assess OHW to provide valuable information for the implementation of health promotion activities. The main bottleneck is the limited focus on solutions that address the demands of both organizations and individuals, and scientific and effective decision-making is pending. Therefore, this study describes the OHW mechanism covering both antecedents and consequences through the driving force-pressure-state-impact-response model. A probabilistic model of management tradeoff analysis was established by using a Bayesian decision network. Causal relationships and dependencies between multiple factors are captured visually. The model was verified and applied with samples of miners (N = 816). The results showed that the comprehensive strategy (R5) was the best tactic, and the management effect of stress (R2) and vulnerability (R3) was prominent. This study provides a valuable tool for managers to identify priority management factors. Prioritizing tactics formulated from dual demands of organizational and individual can ensure project feasibility, operability, and effectiveness. This study is a novel attempt to combine theory with practice, which is timely and necessary for management.

Automated summary

This study describes the mechanism of occupational health and well-being (OHW) of miners through a driving force-pressure-state-impact-response model. A probabilistic model of management tradeoff analysis was established using a Bayesian decision network to capture causal relationships and dependencies between multiple factors. The results showed that the comprehensive strategy was the best tactic, and management of stress and vulnerability had significant effects. This study provides a valuable tool for managers to identify priority management factors and emphasizes the importance of considering dual demands of both organizations and individuals.