Maturity Assessment Model on Adopting Knowledge Management with Employee-Augmenting Private LLMs in Banks
| dc.contributor.author | Kösker, Özlem | |
| dc.contributor.mentor | Gatziu Grivas, Stella | |
| dc.date.accessioned | 2025-07-09T12:38:38Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Besides 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.uri | https://irf.fhnw.ch/handle/11654/52025 | |
| dc.language.iso | en | |
| dc.publisher | Hochschule für Wirtschaft FHNW | |
| dc.spatial | Olten | |
| dc.subject.ddc | 330 - Wirtschaft | |
| dc.title | Maturity Assessment Model on Adopting Knowledge Management with Employee-Augmenting Private LLMs in Banks | |
| dc.type | 11 - Studentische Arbeit | |
| dspace.entity.type | Publication | |
| fhnw.InventedHere | Yes | |
| fhnw.StudentsWorkType | Master | |
| fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
| fhnw.affiliation.institut | Master of Science | de_CH |
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