Document Type : Review
Author
Azarbaijan Shahid Madani University
Abstract
Objective: This study aimed to systematically review the role of generative artificial intelligence (AI) in transforming organizational knowledge management and to propose an integrated framework based on an analysis of published literature.
Method: This study was conducted as a systematic review with qualitative content analysis of articles published in reputable databases between 2018 and 2024. The search was performed following the PRISMA protocol using standardized keywords. From an initial pool of 257 studies, 72 relevant articles were selected based on inclusion and exclusion criteria and underwent a multi-stage analytical process.
Findings: Data analysis revealed that generative AI has the potential to transform organizational knowledge management through four key mechanisms: 1) automated knowledge generation, 2) intelligent knowledge sharing, 3) extraction of tacit knowledge, and 4) personalization of knowledge processes. The most significant identified challenges fell into three categories: a) technical and validation issues (e.g., model hallucination, low accuracy, and the black box problem), b) ethical and security considerations (e.g., bias, privacy violations, and accountability), and c) organizational and human barriers (e.g., resistance to change and the need for skill development).
Conclusion: Generative AI serves as a transformative technology with the potential to redefine organizational knowledge management ecosystems. However, its success requires adapting and adopting an integrated approach that simultaneously addresses technical, human, and organizational dimensions. The proposed framework from this research can act as a roadmap for researchers and managers to implement this technology responsibly and effectively.
Keywords
- Generative Artificial Intelligence
- Organizational Knowledge Management
- Systematic Review
- Qualitative Content Analysis
Main Subjects
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