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This is a Literature Review study.

August 17, 2025

AI-Powered Knowledge Management Systems: A Hybrid Model for Smart Organizations

Key Points

Hybrid knowledge management systems enhance decision-making and organizational productivity, enabling sustained innovation.
Results indicate that AI algorithms improve knowledge accuracy, leading to better operational outcomes in organizations.
Methodology includes a system design integrating AI automation with human input for optimal knowledge sharing.
Emphasizing the need for continuous learning underlines the importance of hybrid systems for organizational dynamism.

Abstract

This paper examines the construction of AI-powered hybrid knowledge management (KM) systems and their effects for smart organizations. It integrates latest studies to emphasize how AI, more specifically natural language processing and machine learning, allied with a human workforce, enhances knowledge capture, structuring, and sharing. The proposed methodology details a system design with AI automation and contextual human validation. Results indicate that hybrid systems models in combination with AI algorithms greatly improve the ethical accuracy, knowledge precision, and pertinent information flow supporting decision-making and operational productivity. The study’s findings placed emphasis on the change paradigms of hybrid KM systems in enabling sustained organizational dynamism and innovation through continuous learning in agile incaptive settings.

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Cite This Study

Narang et al. (Wed,) studied this question.

synapsesocial.com/papers/68a36a480a429f797332eca3 https://doi.org/https://doi.org/10.71086/iajir/v12i3/iajir1220

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