Enterprise Knowledge Intelligence for Adaptive Organizational Learning and Strategic Decision-Making
Keywords:
Enterprise Knowledge Intelligence; Organizational Learning; Strategic Decision-Making; Knowledge Management; Generative AI; Adaptive Learning; Decision Support.Abstract
Enterprise organizations increasingly depend on distributed data, organizational knowledge, and intelligent technologies to support learning and strategic decision-making. However, knowledge fragmented across databases, documents, applications, reports, and operational repositories can limit the ability of organizations to transform available information into actionable intelligence. This study proposes an Enterprise Knowledge Intelligence for Adaptive Organizational Learning and Strategic Decision-Making (EKI-ALSDM) framework that integrates enterprise knowledge acquisition, semantic integration, adaptive knowledge refinement, and context-aware strategic decision support. The proposed architecture transforms heterogeneous enterprise information into a unified knowledge layer using semantic representations and evidence-aware knowledge updating. An adaptive learning mechanism continuously incorporates newly acquired information and organizational feedback to refine the knowledge state over time. The resulting knowledge is subsequently utilized to generate context-aware intelligence and decision-support information for operational, tactical, strategic, and cross-functional decision environments. The framework incorporates a closed-loop mechanism in which decision outcomes and user feedback are returned to the learning layer, enabling continuous organizational knowledge evolution. The evaluation framework considers accuracy, precision, recall, and F1-score to assess the reliability of knowledge-driven decision-support outcomes. Illustrative comparative results demonstrate the potential of the proposed approach to achieve consistent performance across different organizational decision contexts. The study contributes an integrated perspective that connects enterprise knowledge management with adaptive organizational learning and strategic intelligence generation. The proposed framework provides a foundation for organizations seeking to move beyond static knowledge repositories toward continuously evolving, evidence-supported, and context-aware enterprise intelligence systems.
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