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This study examines the integration of data utilization and Business Process Management (BPM) within risk governance frameworks for disaster management. Addressing bureaucratic constraints in traditional systems, we propose a Data-Driven Disaster Management Process (DMP) framework and identify critical success factors through an integrative literature review and illustrative case analysis. Four critical elements – operations (governance and institutions), personnel (organizational capacity), finance (budget and infrastructure), and collaboration (interagency cooperation and resource allocation) – must function integratively to enable effective risk governance. Case analyses illustrate that integrating data and process perspectives improves decision-making speed, optimizes resource allocation, and strengthens interagency collaboration. This study proposes a novel risk governance paradigm, underscoring the potential of BPM and data-driven approaches to enhance the effectiveness of disaster management.

Risk Governance in Complex Disasters: Critical Success Factors for Data-Driven Disaster Management Process