Applying Systems Thinking to enhance the understanding of Cyber Resilience in Socio-technical Systems

dc.contributor.authorYumi, Sophia Richter
dc.contributor.mentorvon Kutzschenbach, Michael
dc.contributor.mentorAsprion, Petra
dc.date.accessioned2023-12-22T15:38:24Z
dc.date.available2023-12-22T15:38:24Z
dc.date.issued2018
dc.description.abstractCyber resilience in the context of an organisation is much more than solely technical security measures. It requires a holistic approach that includes additional factors together in a coherent whole to manage both known and unknown cyber risks in today’s evolving threat landscape. The purpose of this study is to enhance an understanding of socio-technical factors influencing an organisation which contribute to cyber resilience, and the relationships among these factors.This investigation took the form of a qualitative case-study to apply systems thinking through modelling a causal loop diagram (CLD). Socio-technical aspects of organisations were found to be strongly associated with an organisational cyber resilience. The findings of this study also shown that combining a socio-technical perspective and cyber resilience through modelling a CLD may well have a potential to extend the understanding of organisational cyber resilience. Further investigation and modelling work will be needed to validate the findings of this research with each key factor being examined in greater detail.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/39856
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleApplying Systems Thinking to enhance the understanding of Cyber Resilience in Socio-technical Systems
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Science
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relation.isMentorOfPublication83ae1379-dcd0-4a88-975e-856efecb5645
relation.isMentorOfPublication.latestForDiscoveryeb99e39c-5f93-42fe-a5be-1f59ae5188f8
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