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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29157
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dc.contributor.authorWulf, Jochen-
dc.contributor.authorMeierhofer, Jürg-
dc.date.accessioned2023-11-17T10:45:45Z-
dc.date.available2023-11-17T10:45:45Z-
dc.date.issued2023-11-09-
dc.identifier.otherarXiv:2311.05288de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29157-
dc.description.abstractResearch on the role of Large Language Models (LLMs) in business models and services is limited. Previous studies have utilized econometric models, technical showcases, and literature reviews. However, this research is pioneering in its empirical examination of the influence of LLMs at the firm level. The study introduces a detailed taxonomy that can guide further research on the criteria for successful LLM-based business model implementation and deepen understanding of LLM-driven business transformations. Existing knowledge on this subject is sparse and general. This research offers a more detailed business model design framework based on LLM-driven transformations. This taxonomy is not only beneficial for academic research but also has practical implications. It can act as a strategic tool for businesses, offering insights and best practices. Businesses can lev-erage this taxonomy to make informed decisions about LLM initiatives, ensuring that technology in-vestments align with strategic goals.de_CH
dc.format.extent10de_CH
dc.language.isoende_CH
dc.publisherarXivde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectBusiness modelde_CH
dc.subjectTaxonomyde_CH
dc.subjectLarge language modelde_CH
dc.subjectLLMde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titleTowards a taxonomy of large language model based business model transformationsde_CH
dc.typeWorking Paper – Gutachten – Studiede_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Datenanalyse und Prozessdesign (IDP)de_CH
dc.identifier.doi10.48550/arXiv.2311.05288de_CH
dc.identifier.doi10.21256/zhaw-29157-
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Wulf, J., & Meierhofer, J. (2023). Towards a taxonomy of large language model based business model transformations. arXiv. https://doi.org/10.48550/arXiv.2311.05288
Wulf, J. and Meierhofer, J. (2023) Towards a taxonomy of large language model based business model transformations. arXiv. Available at: https://doi.org/10.48550/arXiv.2311.05288.
J. Wulf and J. Meierhofer, “Towards a taxonomy of large language model based business model transformations,” arXiv, Nov. 2023. doi: 10.48550/arXiv.2311.05288.
WULF, Jochen und Jürg MEIERHOFER, 2023. Towards a taxonomy of large language model based business model transformations. arXiv
Wulf, Jochen, and Jürg Meierhofer. 2023. “Towards a Taxonomy of Large Language Model Based Business Model Transformations.” arXiv. https://doi.org/10.48550/arXiv.2311.05288.
Wulf, Jochen, and Jürg Meierhofer. Towards a Taxonomy of Large Language Model Based Business Model Transformations. arXiv, 9 Nov. 2023, https://doi.org/10.48550/arXiv.2311.05288.


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