Corporate Resilience Management in the Context of Digital Transformation: Technology as a Driver of Resilience
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.
Authors
- Niels Schmidtke (ORCID: https://orcid.org/0000-0001-8983-7875)
- Fabian Behrendt (ORCID: https://orcid.org/0000-0001-6521-3179)
Institutions
- Fraunhofer Institute for Factory Operation and Automation (DE)
- Hochschule Magdeburg-Stendal (DE)
Publication Details
- Journal
- Procedia Computer Science
- Published
- 2026-01-01
- DOI
- https://doi.org/10.1016/j.procs.2026.02.139
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00