  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.
