Towards a taxonomy of large language model based business model transformations

Wulf, Jochen; Meierhofer, Jürg

doi:10.48550/arXiv.2311.05288

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29157

Publication type:	Working paper – expertise – study
Title:	Towards a taxonomy of large language model based business model transformations
Authors:	Wulf, Jochen Meierhofer, Jürg
et. al:	No
DOI:	10.48550/arXiv.2311.05288 10.21256/zhaw-29157
Extent:	10
Issue Date:	9-Nov-2023
Publisher / Ed. Institution:	arXiv
Other identifiers:	arXiv:2311.05288
Language:	English
Subjects:	Business model; Taxonomy; Large language model; LLM
Subject (DDC):	006: Special computer methods
Abstract:	Research 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.
URI:	https://digitalcollection.zhaw.ch/handle/11475/29157
License (according to publishing contract):	CC BY 4.0: Attribution 4.0 International
Departement:	School of Engineering
Organisational Unit:	Institute of Data Analysis and Process Design (IDP)
Appears in collections:	Publikationen School of Engineering

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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.