Implementing AI-Based Knowledge Management to Enhance Innovation in Organizations: A Comprehensive Literature Review and Strategic Implications

Abstract

This article presents a comprehensive literature review on the implementation of AI-based knowledge management to enhance innovation within organizations. The study explores the integration of artificial intelligence (AI) technologies into knowledge management processes and their strategic impact on fostering organizational innovation. By analyzing existing research, the article identifies key AI tools and techniques that facilitate knowledge creation, sharing, and utilization, thereby driving innovation. The findings highlight the transformative potential of AI in optimizing knowledge flows and enabling data-driven decision-making, leading to innovative outcomes. Furthermore, the review uncovers critical success factors and challenges associated with AI-driven knowledge management systems. Strategic implications for practitioners are discussed, offering recommendations for effectively deploying AI to support organizational innovation. The article contributes to both academic and practical discourses by synthesizing insights from multidisciplinary studies and proposing future research directions. This study provides a foundation for further exploration into the role of AI in advancing knowledge management and innovation strategies.