{"title":"Next Wave of Servicing Enterprise IT Needs","authors":"V. Kulkarni, Sagar Sunkle","doi":"10.1109/CBI.2013.53","DOIUrl":null,"url":null,"abstract":"Enterprises use IT systems to derive mechanical advantage through automation of business process steps. Prevalent labor arbitrage outsourcing model has delivered significant savings in run-the-business IT costs. For a variety of reasons, change-the-business IT costs continue to be significantly high. With continually increasing business dynamics and increasing dependence on IT systems, the problem of managing these costs with certainty is getting ever more difficult. We propose a model-driven approach for addressing this problem. The paper discusses current practice to motivate the problem, describes a model-driven architecture to address the problem, and discusses various research, engineering and business challenges for its realization.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 15th Conference on Business Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBI.2013.53","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Enterprises use IT systems to derive mechanical advantage through automation of business process steps. Prevalent labor arbitrage outsourcing model has delivered significant savings in run-the-business IT costs. For a variety of reasons, change-the-business IT costs continue to be significantly high. With continually increasing business dynamics and increasing dependence on IT systems, the problem of managing these costs with certainty is getting ever more difficult. We propose a model-driven approach for addressing this problem. The paper discusses current practice to motivate the problem, describes a model-driven architecture to address the problem, and discusses various research, engineering and business challenges for its realization.