Maturity Assessment Model on Adopting Knowledge Management with Employee-Augmenting Private LLMs in Banks

dc.contributor.authorKösker, Özlem
dc.contributor.mentorGatziu Grivas, Stella
dc.date.accessioned2025-07-09T12:38:38Z
dc.date.issued2025
dc.description.abstractBesides this emerging topic, artificial intelligence (AI), large language models (LLMs), and knowledge management (KM) are understood by organizations in different ways. Consulting firms offer banks scalable solutions by going through checklists or question-and-answer sessions, which is not a sustainable solution. This research’s novel artifact aims to incorporate KM within AI readiness maturity assessment models and extend it with LLM best practices. The artifact consists of a novel dedicated maturity assessment model for adopting LLM-based KM within banks to allow banks to assess their readiness to start developing and using employee-augmenting LLMs.
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/52025
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleMaturity Assessment Model on Adopting Knowledge Management with Employee-Augmenting Private LLMs in Banks
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Sciencede_CH
relation.isMentorOfPublicationdf27a5dc-e1d3-4762-9b30-2cd5d1ebb91f
relation.isMentorOfPublication.latestForDiscoverydf27a5dc-e1d3-4762-9b30-2cd5d1ebb91f
Dateien