The increasing volume of external shocks, such as the financial crisis or the COVID-19 pandemic, emphasizes the need for businesses to increase their resilience, i.e., a system's ability to reduce the impact or recover from such shocks quickly. In the past, information systems were often viewed as a source of vulnerability and complexity. In contrast, we conceptualize digital resilience—a form of resilience that is enabled through information systems by taking an integrated approach. In this work, we develop a framework for the design of digital resilience in AI-based information systems. Based on this framework, we conduct and evaluate an illustrative study addressing demand shocks in the airline industry. We, thereby, show the technical feasibility of concept drift detection and discuss why digital resilience must be designed holistically.
Schemmer, Max; Heinz, Daniel; Baier, Lucas; Vössing, Michael; and Kühl, Niklas, "Conceptualizing Digital Resilience for AI-based Information Systems" (2021). ECIS 2021 Research-in-Progress Papers. 44.
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