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<p>Effective transfer of knowledge is significant in improving the decision-making process and innovation in today's technological era. The traditional KM frameworks are unable to address the intricacies and dependencies among different entities in organizations, including employees, departments, and digital systems. In this research, we present a graph-based framework for efficient knowledge transfer in organizations. The proposed framework considers the organizational structure represented through a graph where nodes refer to knowledge sources, and edges denote knowledge exchanges. By applying the GCN and attention mechanisms, the framework identifies the knowledge flow constraints and finds strategies to overcome these constraints for improved knowledge transfer. When tested with organizational data, our framework exhibits better performance in optimizing knowledge transfer, reducing redundancy, and facilitating decision-making.</p>

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A graph neural network-based framework for organizational knowledge flow optimization in digital enterprises

  • 期刊论文

  • 发表日期：

    2026年7月10日

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  • Balaji Magar

摘要

Effective transfer of knowledge is significant in improving the decision-making process and innovation in today's technological era. The traditional KM frameworks are unable to address the intricacies and dependencies among different entities in organizations, including employees, departments, and digital systems. In this research, we present a graph-based framework for efficient knowledge transfer in organizations. The proposed framework considers the organizational structure represented through a graph where nodes refer to knowledge sources, and edges denote knowledge exchanges. By applying the GCN and attention mechanisms, the framework identifies the knowledge flow constraints and finds strategies to overcome these constraints for improved knowledge transfer. When tested with organizational data, our framework exhibits better performance in optimizing knowledge transfer, reducing redundancy, and facilitating decision-making.