The Implementation of Artificial Intelligence in Knowledge Management: A Systematic Literature Review
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Abstract
Knowledge Management (KM) is crucial since it is used for managerial decisions that affect the organization’s success. To improve the quality of KM, there is an innovation that implements Artificial Intelligence (AI) for the KM process. AI is a machine learning tool that can execute human tasks, adapt to new inputs, and learn from experience. This study aims to investigate the growth of AI in KM and evaluate how AI can be applied in KM to manage information and knowledge. The study used a systematic literature review method with PRISMA and data sources from Scopus. A total of 30 articles were examined in the review analysis. The research results found that the implementation of AI in KM was already conducted on various continents and most of the previous studies discussed this topic in the General field. Furthermore, the review discovered that AI can be applied to fundamental knowledge management process, decision-making, knowledge forecasting, and knowledge exchanges. This research also indicates that the implementation of AI in KM is growing and the topic of AI research in KM continues to develop. This study provides insight into prospects for innovation and improvement by offering evaluations for the future development of AI in KM.
Publication details
- DOI
- 10.1109/iatmsi60426.2024.10502986
- OpenAlex
- W4395070002
- Document type
- review
- Language
- EN
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