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.

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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
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article

Corporate Resilience Management in the Context of Digital Transformation: Technology as a Driver of Resilience

Niels Schmidtke, Fabian Behrendt
Procedia Computer Science
Supply Chain Resilience and Risk Management
article

Corporate Resilience Management in the Context of Digital Transformation: Technology as a Driver of Resilience

Niels Schmidtke, Fabian Behrendt
article en

Abstract

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.

Procedia Computer ScienceVol. 277
Fraunhofer Institute for Factory Operation and Automation (DE), Hochschule Magdeburg-Stendal (DE)
Openalex Percentile: Top 12%
Supply Chain Resilience and Risk Management
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Corporate Resilience Management in the Context of Digital Transformation: Technology as a Driver of Resilience — Niels Schmidtke, Fabian Behrendt · Procedia Computer Science (2026) | TGRS Research Map | TGRS