In an increasingly volatile, technology-driven environment, resilient organizational structures and decision-making processes are gaining strategic importance. This article addresses an integration model for corporate resilience management that combines traditional management approaches with data- and AI-based methods. The model structures the resilience process in iterative methodological steps, from requirements analysis, scenario planning and strategy development through to learning-based monitoring. A practical study shows how resilience-oriented business model adaptations can systematically operationalize preventive, adaptive and regenerative measures along resilience phases using the example of a digital supplier platform. A resilience matrix serves as a central analysis tool for characterizing corporate resilience capabilities. Furthermore, the focus in this context is on the integration of generative AI for data-driven analysis, decision support and simulation modeling. As a result, it becomes clear that technology only acts as a resilience driver if it is embedded in an adaptive, strategically anchored management system.
Schmidtke et al. (Thu,) studied this question.