HUMAN-CENTERED CYBER EMERGENCY MANAGEMENT IN PUBLIC SAFETY SYSTEMS: A MIXED-METHODS DECISION-SUPPORT FRAMEWORK FOR INDUSTRY 5.0

Marius-Viorel POȘA, Mircea BOȘCOIANU

Abstract


The Industry 5.0 paradigm shift mandates a fundamental recalibration of cyber emergency management within public safety ecosystems, prioritizing systemic resilience and human-centricity [1]. Addressing the empirical void in extant frameworks, this study employs a Convergent Parallel Mixed-Methods architecture [7]. By synthesizing stochastic Monte Carlo simulations (n=500) with qualitative narrative inquiry, the research demonstrates that synergistic human – machine collaboration precipitates a 22.3% reduction in response latency and a 60.0% attenuation in decision uncertainty relative to automated baselines validated through high-fidelity stochastic modeling aligned with ENISA 2025 benchmarks. Consequently, this study operationalizes critical NIST 2.0 [3] and NIS2 [2] constructs, establishing a rigorous, quantifiable foundation for accountability and governance in critical infrastructure protection.


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