{"title":"Digital Business Model Analysis Using a Large Language Model","authors":"Masahiro Watanabe, Naoshi Uchihira","doi":"arxiv-2406.05741","DOIUrl":null,"url":null,"abstract":"Digital transformation (DX) has recently become a pressing issue for many\ncompanies as the latest digital technologies, such as artificial intelligence\nand the Internet of Things, can be easily utilized. However, devising new\nbusiness models is not easy for compa-nies, though they can improve their\noperations through digital technologies. Thus, business model design support\nmethods are needed by people who lack digital tech-nology expertise. In\ncontrast, large language models (LLMs) represented by ChatGPT and natural\nlanguage processing utilizing LLMs have been developed revolutionarily. A\nbusiness model design support system that utilizes these technologies has great\npotential. However, research on this area is scant. Accordingly, this study\nproposes an LLM-based method for comparing and analyzing similar companies from\ndifferent business do-mains as a first step toward business model design\nsupport utilizing LLMs. This method can support idea generation in digital\nbusiness model design.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"95 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Other Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.05741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.