{"title":"Value proposition discovery in big data enabled business model innovation","authors":"De-ning Teng, Peng-yu Lu","doi":"10.1109/ICMSE.2016.8365646","DOIUrl":null,"url":null,"abstract":"Business innovation is unavoidable in the intensely competitive marketplace. Under resources constrained condition, the option of innovation perspectives is particularly significant. Business model is the foundation of business goal and business innovation which directly facilitates the innovation of products and business processes. Meanwhile, value proposition is the most significant element in business model innovation. Under such background, an innovative approach to achieve reasonable value proposition from knowledge discovery of enterprise information system is proposed in this paper. The paper also defines major business data sources for information system and presents appropriate big data processing approaches of knowledge discovery. To effectively reveal business value of knowledge discovery, popular data interpretation techniques are presented. Furthermore, in order to facilitate firm leader to prompt value proposition on a better degree, the paper proposes a value proposition generation model based on customers, competitors and profit which called CCP to associate business value discovered from information system with value proposition creation. The pattern of value proposition generation this paper proposed will strengthen competitiveness, and provide a better approach to achieve business goal of enterprises.","PeriodicalId":446473,"journal":{"name":"2016 International Conference on Management Science and Engineering (ICMSE)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Management Science and Engineering (ICMSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSE.2016.8365646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Business innovation is unavoidable in the intensely competitive marketplace. Under resources constrained condition, the option of innovation perspectives is particularly significant. Business model is the foundation of business goal and business innovation which directly facilitates the innovation of products and business processes. Meanwhile, value proposition is the most significant element in business model innovation. Under such background, an innovative approach to achieve reasonable value proposition from knowledge discovery of enterprise information system is proposed in this paper. The paper also defines major business data sources for information system and presents appropriate big data processing approaches of knowledge discovery. To effectively reveal business value of knowledge discovery, popular data interpretation techniques are presented. Furthermore, in order to facilitate firm leader to prompt value proposition on a better degree, the paper proposes a value proposition generation model based on customers, competitors and profit which called CCP to associate business value discovered from information system with value proposition creation. The pattern of value proposition generation this paper proposed will strengthen competitiveness, and provide a better approach to achieve business goal of enterprises.