An event-based analysis study on collaboration for disaster risk reduction

The research problem arises from increased disaster risk due to uncertain natural phenomena, requiring swift mitigation. Japan, with high disaster frequency, promotes DRR 4.0 focused on resilience and sustainability using AI, big data, and the IoT. Coastal disasters affect lives, infrastructure, and livelihoods, with recovery depending on local economic resilience. The marine entrepreneurship ecosystem is also affected; if neglected, regional recovery slows. However, studies on disaster risk reduction related to marine entrepreneurship remain scarce, complicating policy and limiting references. The launch of the Ocean Radar Network Information Services (ORNIS), a research-based marine entrepreneurship initiative, addresses DRR 4.0 challenges while demonstrating research-based marine entrepreneurship through a Data as a Service (DAAS) business model requiring further study. The author identifies an opportunity to link marine entrepreneurship and DRR in coastal areas through ORNIS. This study requires a detailed examination of the emergence and development of ORNIS in its early years, as well as the actions and strategies it employed. Event-based analysis with a cross-sectional time horizon and a systematic literature review were employed. Data sources include secondary data (government documents, company documents) and primary data (interview and discussion with co-founder and management). The main finding is a new venture with a DAAS business model developed for DRR, and the mapping of new academic discourse bridging two fields. The conceptual contribution connects these fields. In entrepreneurship, it adds to marine entrepreneurship literature through the DAAS model. In DRR, it contributes practical examples of using rapid, accurate data to improve policymaker responses and increase regional resilience.