E-business Performance and Strategy Planning E-Valuation Based on Adaptive Algorithmic Modelling Methods: Critical Factors Affecting E-Valuation and Strategic Management Methodologies

This article describes an innovative e-business strategy planning e-valuation approach, based on adaptive algorithmic modeling methods for solving a wide class of e-business and strategic management problems. The proposed methodology is based on basic ideas and concepts of four key-field interrelated sciences, i.e. Computing Science, Applied Mathematics, Management and Economic Sciences. Furthermore, the fundamental scientific concepts of adaptability and uncertainty are shown to play a critical role of major importance for a (near) optimum solution of a class of complex e-business/services and strategic management problems. A characteristic case study of adaptive algorithmic schemes containing several distinct e-valuation procedures corresponding to e-business performance models under certain environmental pressures, organizational constraints and describing the relationships between technology, innovation and firm performance, is presented in the proposed adaptive algorithmic modeling approach. The new hybrid algorithmic model includes six dynamic modules, can be optimized and used effectively in e-business performance and strategic planning e-valuation of various e-services in very large organizations. This new methodology incorporating critical factors for e-business performance can play a significant role of major importance for (near) optimum solutions of a class of complex e-business/services and strategic management problems.