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Conceptualizing Digital Resilience for AI-Based Information Systems

Schemmer, Max 1; Heinz, Daniel ORCID iD icon 1; Baier, Lucas 1; Vössing, Michael 1; Kühl, Niklas 1
1 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)

Abstract:
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 bedesigned holistically.


Preprint §
DOI: 10.5445/IR/1000131812
Veröffentlicht am 03.05.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Karlsruhe Service Research Institute (KSRI)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 14.06.2021
Sprache Englisch
Identifikator KITopen-ID: 1000131812
Erschienen in Proceedings of the 29th European Conference on Information Systems (ECIS), June 14 - 16, 2021
Veranstaltung 29th European Conference on Information Systems (ECIS 2021), Online, 14.06.2021 – 16.06.2021
Vorab online veröffentlicht am 24.04.2021
Schlagwörter Digital Resilience, Resilience, Concept Drift Detection, Information System Resilience
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