Integration of knowledge management processes into a dynamic organizational environment

Abstract

The article is devoted to the study of the impact of intellectual resources in the form of knowledge bases on the sustainable development of organizations. In today's world, where Knowledge is a key resource for success, the integration of Knowledge Management becomes an important component to ensure organizational competitiveness. The study emphasizes that successful implementation of artificial intelligence and knowledge bases requires not only technological solutions but also cultural changes within organizations, particularly in the areas of learning culture and collaboration. The authors of the article investigate the processes of acquisition, combination, and protection of Knowledge as key components of organizational sustainable development. They point out that the ability to acquire and combine Knowledge allows organizations to realize their potential in value creation. Knowledge Management is presented as a strategic component aimed at increasing productivity and competitiveness. The article discusses higher-order capabilities, such as adaptability, absorptive capacity, and innovation capacity, which affect the ability of organizations to respond to changes in the external environment. The algorithm for Knowledge utilization in organizations describes a comprehensive intellectual platform for managing and optimizing processes in the dynamic organizational environment. The Knowledge Management system includes managed and managing components, where the managed system reflects current parameters and information, while the managing system provides data storage, learning, and ontological knowledge base. The ontological knowledge base includes a set of concepts, semantic relationships, interpretation function, and axioms. Knowledge base updates occur depending on changes in time and the addition of new concepts, relationships, and axioms. Generalized ER-diagrams illustrate the structure and interaction of the learning module with the results used to update the Knowledge base. The algorithm allows you to analyze the state of the system and make optimal decisions based on the accumulated Knowledge.