{"title":"电子服务策略管理方法的自适应算法方案:知识管理案例研究","authors":"A. Lipitakis","doi":"10.1109/ICEBE.2007.21","DOIUrl":null,"url":null,"abstract":"E-Business and Strategic Management methodologies problems can be efficiently solved by using corresponding adaptive algorithmic procedures. A class of case studies representing a variety of characteristic E- Business problems is presented by considering the proposed algorithmic approach. The adaptability and compactness of the proposed algorithmic schemes combined by the proper choice of singular perturbation parameters allow the (near) optimum solution of a wide class of E-Business and strategic management problems.","PeriodicalId":184487,"journal":{"name":"IEEE International Conference on e-Business Engineering (ICEBE'07)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Adaptive Algorithmic Schemes for E-Service Strategic Management Methodologies: Case Studies on Knowledge Management\",\"authors\":\"A. Lipitakis\",\"doi\":\"10.1109/ICEBE.2007.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"E-Business and Strategic Management methodologies problems can be efficiently solved by using corresponding adaptive algorithmic procedures. A class of case studies representing a variety of characteristic E- Business problems is presented by considering the proposed algorithmic approach. The adaptability and compactness of the proposed algorithmic schemes combined by the proper choice of singular perturbation parameters allow the (near) optimum solution of a wide class of E-Business and strategic management problems.\",\"PeriodicalId\":184487,\"journal\":{\"name\":\"IEEE International Conference on e-Business Engineering (ICEBE'07)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on e-Business Engineering (ICEBE'07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEBE.2007.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on e-Business Engineering (ICEBE'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEBE.2007.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Algorithmic Schemes for E-Service Strategic Management Methodologies: Case Studies on Knowledge Management
E-Business and Strategic Management methodologies problems can be efficiently solved by using corresponding adaptive algorithmic procedures. A class of case studies representing a variety of characteristic E- Business problems is presented by considering the proposed algorithmic approach. The adaptability and compactness of the proposed algorithmic schemes combined by the proper choice of singular perturbation parameters allow the (near) optimum solution of a wide class of E-Business and strategic management problems.