Knowledge management is a critical aspect of modern organizations seeking to harness their collective intelligence and remain competitive in a dynamic business environment. With the advent of distributed data and knowledge-based systems, the landscape of knowledge management is undergoing significant transformations. This systematic mapping study aims to provide a comprehensive overview of the current state of knowledge management within the context of distributed environments and knowledge-based systems, shedding light on the key trends and challenges that shape this evolving field. Our study employs a systematic mapping methodology to analyze a wide array of scholarly articles, conference papers, and research reports. Through a structured review process, we identify and categorize relevant publications, facilitating a holistic understanding of the relationships between distributed data and knowledge-based systems in the realm of knowledge management. By mapping the existing literature, we uncover emerging themes, gaps, and areas of interest in this interdisciplinary domain. Key findings reveal the increasing role of distributed systems in enhancing knowledge sharing, collaboration, and decision-making processes. However, challenges related to data security, interoperability, and system integration also surface as important considerations. The systematic mapping study not only offers insights into the current state of knowledge management but also provides a foundation for future research directions and practical implications for organizations striving to optimize knowledge utilization in distributed settings. In conclusion, this research contributes to a deeper understanding of how distributed data and knowledge-based systems are shaping knowledge management practices and provides a roadmap for scholars and practitioners alike to navigate this evolving terrain.
