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

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Hybrid knowledge management systems improve decision-making and knowledge precision in smart organizations, indicating their importance.

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.

Narang et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

Hybrid knowledge management systems improve decision-making and knowledge precision in smart organizations, indicating their importance.

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.

Narang et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark