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E-business and Strategic Management:E-valuation Quality Performance based on ADAM Methods

Authors:
Alexandra Lipitakis
Evangelia Lipitakis

Keywords: adaptive algorithms; digital information management; e-business; e-services; quality performance evaluation; strategy management; the ADAM methods

Abstract:
E-business and strategic management problems in Digital Information Management (DIM) methodologies, Smart Environments (SE) and e-services can be efficiently solved by using a class of adaptive algorithmic modeling (ADAM) procedures. A class of implicit and explicit relationships and attitudes in strategic management and performance in DIM is presented by considering the proposed adaptive 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 e-services environments. This research work is based on key-field concepts of four interrelated sciences, i.e., Computer Science (adaptive algorithmic theory), Applied Mathematics (singular perturbation theory and partial differential equations), Management Science (strategic management and e-business) and Economic Science (performance). The proposed adaptive algorithmic approach has been applied to a class of case studies of characteristic e-business and strategic management problems and their corresponding dynamical algorithmic schemes have been presented. The ADAM technique has been used for constructing the basic questionnaire containing the “Phillips-Lipitakis” model, methodology and assumed hypotheses.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2012

Publication date: June 24, 2012

Published in: conference

ISSN: 2308-4529

ISBN: 978-1-61208-202-8

Location: Venice, Italy

Dates: from June 24, 2012 to June 29, 2012