Title: An Enhanced Organizational Performance System For Knowledge Sharing Using Aritificil Intelligence
Authors: Idris Shehu Babangida, Ahmed Abubakar Aliyu, Saadatu Abdulkadir, Mohammed Ibrahim, Abubakar Muazu
Volume: 9
Issue: 4
Pages: 138-145
Publication Date: 2025/04/28
Abstract:
In order to improve organizational performance, this study offers a distinct framework that combines knowledge sharing (KS) and artificial intelligence (AI), with a focus on knowledge management features. The impact of the framework is completely analyzed, proving remarkable impacts on the production, dissemination, and use of knowledge. The findings show that AI-driven KS can successfully promote creativity, teamwork, and well-informed decision-making, all of which produce better organizational results. The framework has the ability to advance organizational performance, as evidenced by the notable enhancements in knowledge production, exchange, and application. A negligible influence on information acquisition is also revealed by the results, indicating that the framework might not be as useful for supporting the early stages of knowledge management. This shows that more study is necessary to solve the limitation on knowledge acquisition and guarantee comprehensive knowledge management.