• A. H. Harb Business Administration Department, The British University in Egypt, Sherouq City, EGYPT
  • AKA AbdAlhameedAbdAlhameedAlsayyid Business Administration Department, The British University in Egypt, Sherouq City, EGYPT



Artificial Intelligence, Strategic Management, Competitive Advantage, Engineering, Fusion, Cloud Computing

Abstract [English]

The purpose of this paper is to investigate management strategies that use Artificial Intelligence to perceive, capture, and process real-time data to predict and direct the performance of an enterprise.  AI systems can account for errors in human judgment through computational processes that supersede the capabilities of human intelligence alone.  Qualitative methodology was used to assess components such as fuzzy logic that can produce answers determined by multiple factors that can be integrated into a determinant solution. Quantifying the neurocircuitry of strategic management processes in tacticians will serve as the foundation for AI and management strategies engineering fusion.  When AI is programmed to motivate, interact, and make judgements based upon statistical measurements, the fusion of AI and management engineering can increase efficiency and effectiveness in the attainment of organizational goals. Results demonstrated the application of AI planning can range from directing large-scale machinery overhaul procedures, spacecraft mission planning, emergency response, assembling test procedures for rocket launchers, and delivery truck scheduling. A thorough understanding AI for strategic management engineering fusion and its underlying concepts is a prerequisite to competitive advantage in a global market.


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