{"title":"The innovation dynamic mechanism of platform enterprise business model based on deep learning","authors":"Yanjun Kang, Guoquan Liu","doi":"10.1007/s00521-024-10242-x","DOIUrl":null,"url":null,"abstract":"<p>With the continuous emergence and rapid development of high and new technologies such as big data, cloud computing, artificial intelligence, mobile Internet, and the Internet of Things, the platform economy has developed rapidly and has become the current mainstream business model. This paper first analyzes the external driving factors that promote the rapid development of platform-based business models, then combines the existing research results of scholars to analyze the components of platform-based business models and uses deep learning methods. The research carried out model construction, drew causal relationship diagrams and flow diagrams, selected typical and representative platform-based enterprises for research, collected relevant data, and verified that the model's effectiveness reached 98%. On this basis, the model was compounded. Simulation and sensitivity analysis explores the critical factor driving platform-type enterprises to carry out business model innovation: the service quality coefficient of platform-type enterprises.</p>","PeriodicalId":18925,"journal":{"name":"Neural Computing and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Computing and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00521-024-10242-x","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
With the continuous emergence and rapid development of high and new technologies such as big data, cloud computing, artificial intelligence, mobile Internet, and the Internet of Things, the platform economy has developed rapidly and has become the current mainstream business model. This paper first analyzes the external driving factors that promote the rapid development of platform-based business models, then combines the existing research results of scholars to analyze the components of platform-based business models and uses deep learning methods. The research carried out model construction, drew causal relationship diagrams and flow diagrams, selected typical and representative platform-based enterprises for research, collected relevant data, and verified that the model's effectiveness reached 98%. On this basis, the model was compounded. Simulation and sensitivity analysis explores the critical factor driving platform-type enterprises to carry out business model innovation: the service quality coefficient of platform-type enterprises.