使用大型语言模型进行数字商业模型分析

Masahiro Watanabe, Naoshi Uchihira
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引用次数: 0

摘要

最近,数字化转型(DX)已成为许多公司面临的紧迫问题,因为人工智能和物联网等最新的数字化技术可以很容易地加以利用。然而,对于企业来说,虽然可以通过数字技术改善运营,但设计新的业务模式并非易事。因此,缺乏数字技术专业知识的人需要商业模式设计支持方法。与此相反,以 ChatGPT 为代表的大型语言模型(LLM)和利用 LLM 的自然语言处理技术得到了革命性的发展。利用这些技术的商业模式设计支持系统大有可为。然而,这方面的研究还很少。因此,本研究提出了一种基于 LLM 的方法,用于比较和分析来自不同业务领域的类似公司,作为利用 LLM 实现商业模式设计支持的第一步。这种方法可以为数字商业模式设计中的创意生成提供支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Business Model Analysis Using a Large Language Model
Digital transformation (DX) has recently become a pressing issue for many companies as the latest digital technologies, such as artificial intelligence and the Internet of Things, can be easily utilized. However, devising new business models is not easy for compa-nies, though they can improve their operations through digital technologies. Thus, business model design support methods are needed by people who lack digital tech-nology expertise. In contrast, large language models (LLMs) represented by ChatGPT and natural language processing utilizing LLMs have been developed revolutionarily. A business model design support system that utilizes these technologies has great potential. However, research on this area is scant. Accordingly, this study proposes an LLM-based method for comparing and analyzing similar companies from different business do-mains as a first step toward business model design support utilizing LLMs. This method can support idea generation in digital business model design.
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