The increasing dependence of organizations on digital infrastructures, alongside the growing frequency of technological disruptions, cyberattacks, and infrastructural instability, has turned digital resilience into a fundamental challenge in organizational governance and management. Despite advancements in modern technologies, many organizations still experience service discontinuity and insufficient system recoverability during disruptions, indicating the absence of an integrated and multilayered framework for addressing infrastructural failures. Accordingly, this study aims to develop a strategic model of digital resilience based on multilayer architectures under conditions of infrastructural disruption.

This research adopts a qualitative approach grounded in Grounded Theory methodology. Data were collected through in-depth semi-structured interviews with 12 experts in information technology, cybersecurity, systems architecture, and digital transformation management. Purposeful sampling was employed until theoretical saturation was reached. Data analysis was conducted concurrently with data collection through three stages of open, axial, and selective coding. In the open coding phase, 205 initial codes were extracted, which were subsequently organized into 28 sub-categories and 9 main categories, ultimately leading to the development of a paradigmatic model.The main innovation of this study lies in the reconceptualization of digital resilience not merely as a technological phenomenon, but as a strategic and multilayered capability emerging from the dynamic interaction of multilayer architectures, infrastructural interactivity, and adaptive governance mechanisms. In this view, resilience is not a static attribute but an evolutionary and systemic process arising from the synergy between technological, organizational, and human layers, enabling continuous organizational reconfiguration under disruptive conditions.Findings indicate that digital resilience results from the convergence of purposeful design, data-driven analysis, human capability development, and robust architectural design. This convergence leads to faster system recovery, improved operational effectiveness, enhanced organizational agility, and sustained performance continuity under infrastructural disruptions.