Towards a Learning Organization: Integrating Artificial Intelligence in Knowledge Management Practices
DOI:
https://doi.org/10.56830/IJSOL12202502Abstract
The evolving concept of the learning organization is increasingly influenced by advancements in artificial intelligence (AI), which offers transformative potential to augment knowledge management (KM) systems. Effective integration of AI into KM is crucial for organizations aiming to capture, organize, and leverage knowledge as a strategic asset. This paper presents a structured framework that aligns AI capabilities with the learning organization paradigm to enhance workforce learning and decision-making processes. By examining AI’s role in knowledge capture, retrieval, and sharing, the framework emphasizes the necessity of robust KM systems, comprehensive governance, and a systemic approach addressing technology, people, data, and processes. Empirical evidence highlights AI’s capacity to accelerate organizational learning, facilitate digital transformation, and enable collective knowledge building. However, successful implementation requires attention to organizational culture, change management, and rigorous security, privacy, and compliance considerations. The paper further details challenges associated with embedding AI including the importance of aligning AI-driven KM initiatives with strategic organizational objectives and workforce motivations. Ultimately leveraging AI within KM not only strengthens knowledge dissemination and innovation but also cultivates an agile continuously improving organizational culture capable of responding effectively to dynamic environments. This integrated approach positions AI-enabled KM as a core driver for sustained competitive advantage in knowledge-intensive organizations.
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