Implementing Area Business Continuity Management for Large-Scale Disaster: A Total Interpretive Structural Modeling Approach

Abstract

A large-scale disaster striking a fundamental infrastructure can disrupt the entire business area. Hence, Area Business Continuity Management (Area-BCM) is proposed to bring together stakeholders in the same area who aim to minimize economic losses and impacts due to a disaster. Its distinctive features consider public–private partnerships, critical external resources, and scalability of risk management. However, Area-BCM is still a long way from being successful as many challenges are found. This study aimed to build a model of success factors and analyze relationships among factors for Area-BCM implementation. The total interpretive structural modeling technique was utilized to construct a hierarchical model. Interviews and questionnaire surveys were performed for data collection. A process-automated tool was used to ensure accuracy and eliminate complicated calculations. The results indicate the foundation factors and critical suggestions to be grounded for success. The outstanding findings are the interpreted interrelationships in the final model. Moreover, cross-impact matrix multiplication applied to classification approach categorizes factors into four groups based on driving and dependence powers. The outcomes provide strong implications for Area-BCM practitioners or executors, helping them prioritize attention and prepare suitable strategies for successful implementation.