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Beijing, China
July 24, 2009 to July 26, 2009
ISBN: 978-0-7695-3705-4
pp: 566-570
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.
INDEX TERMS
adaptive algorithms, computational modelling in e-banking sector, digital information management, e-banking management, e-business, strategy management methodologies
CITATION
Alexandra Lipitakis, "Computational Modeling Methods in e-Business and Strategic Banking Management: The Case of e-Banking Sector", BIFE, 2009, 2012 Fifth International Conference on Business Intelligence and Financial Engineering, 2012 Fifth International Conference on Business Intelligence and Financial Engineering 2009, pp. 566-570, doi:10.1109/BIFE.2009.133
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