Proceedings Article | 26 June 2024
KEYWORDS: Knowledge management, Mathematical modeling, Brain mapping, Visualization, Software engineering, Software development, Process modeling, Computer engineering, Machine learning, Engineering
Knowledge is a crucial aspect of an organization's performance and values, encompassing professional intellect, creativity, experience, and shared ways of working. Knowledge Management (KM) is a process that involves creating, applying, sustaining,sharing, and renewing knowledge to improve performance and create values. Knowledge exists in raw forms like data, facts, and information, and KM transforms it into enduring value. Knowledge workers are considered the most valuable asset in today's world. KM is essential for successful businesses, but many organizations struggle with effective KM. Knowledge has two dimensions: explicit and tacit. Explicit knowledge is easily understood and transferred through media, while tacit knowledge is internalized and difficult to transfer. Organizations should share tacit knowledge with employees, even without an expert. The knowledge conversion identifies four types of data conversion: internalization, combination, socialization, and externalization. Externalization converts tacit information into explicit knowledge, articulating and storing inherent knowledge. Experts can be gathered through methods like interviews, questionnaires, self-analysis techniques, mathematical models, image representations, concept maps, discussions, and questionnaires. Concept maps are visual representations of relationships between concepts, aiding in clearer cognition and knowledge building. They are effective in critical analysis and organizing concepts, making them a crucial methodology for learning. Concept maps represent relationships among concepts, organizing knowledge and enhancing meaningful learning. Research suggests that knowledge is stored in the brain as productions.
