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How dynamic capabilities enable digital resilience: insights from an organizational transformation case

Amarilli, Fabrizio orcid logoORCID: 0000-0002-6307-8353 and Facchini, Roberta (2026) How dynamic capabilities enable digital resilience: insights from an organizational transformation case. Procedia Computer Science, 278 . pp. 246-253. ISSN 1877-0509

Abstract
This study investigates how dynamic capabilities enable digital resilience in organizations facing sudden, disruptive change. While existing literature has examined technological factors (such as system modularity) and organizational factors (such as decision-making autonomy) separately, studies linking technological structures with organizational resilience remain scarce. We address this gap with a case study of an insurance brokerage firm during the Covid-19 pandemic, examining how it adapted its information systems (IS) and work practices in response to disruption. Using a participatory action research approach, we trace the firm’s process of sensing legacy system limitations, seizing tactical solutions, and transforming its digital configurations. We develop a framework mapping organizational activities across two dimensions: the level of guidance provided by information systems and the degree of autonomy in task execution. Our findings contribute to the literature on digital resilience by showing that resilience emerges from the interdependence between technological structures and organizational practices. We operationalize the dynamic capabilities framework by linking strategic capacities to system configurations and adaptation processes and we offer a diagnostic tool for assessing and improving digital resilience in organizations.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Digital resilience, dynamic capabilities, socio-technical systems
Subjects:Computer Science > Digital electronics
Computer Science > Information technology
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Publisher:Elsevier
Official URL:https://www.sciencedirect.com/science/article/pii/...
Copyright Information:Authors
ID Code:32791
Deposited On:24 Jun 2026 12:40 by Tam Nguyen . Last Modified 24 Jun 2026 12:40
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