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

Abstract 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.