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
Link To Document :
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