• DocumentCode
    3037417
  • Title

    Computational Modeling Methods in e-Business and Strategic Banking Management: The Case of e-Banking Sector

  • Author

    Lipitakis, Alexandra

  • Author_Institution
    Kent Bus. Sch., Univ. of Kent, Canterbury, UK
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    566
  • Lastpage
    570
  • Abstract
    E-business and strategic management problems in digital information management (DIM) methodologies can be efficiently solved by using corresponding adaptive algorithmic procedures. A case study representing a characteristic e-banking sector problem and strategic management methodologies in DIM related to e-banking management 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 e-business and strategic management problems in digital information management and its various applications.
  • Keywords
    bank data processing; information management; optimisation; strategic planning; DIM methodology; adaptive algorithmic procedure; computational modeling method; digital information management; e-banking sector problem; e-business problem; optimized solution; singular perturbation parameter; strategic banking management; Adaptive algorithm; Banking; Business communication; Computational modeling; Computer languages; Conference management; Couplings; Engineering management; Financial management; Information management; adaptive algorithms; computational modelling in e-banking sector; digital information management; e-banking management; e-business; strategy management methodologies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.133
  • Filename
    5208820