Method for Assessing the Effectiveness of Knowledge Management Using Modern Information Systems

The article presents a comprehensive analysis of modern approaches to the classification of knowledge and the organization of knowledge management systems in the context of contemporary organizational functioning. Main types of knowledge—explicit and tacit—are examined, including their characteristics, differences, and the specifics of their formalization and transfer within corporate environments. Various methods for structuring knowledge are systematized according to the type of project being implemented, the sectoral specifics of the enterprise, its operational context, organizational culture, and strategic priorities. Particular attention is devoted to evaluating the effectiveness of modern knowledge management tools, such as Jira, Confluence, and SharePoint, which are widely used in IT project management and corporate administration practices. It has been identified that, despite their significant functional potential, these systems exhibit limitations in several critically important aspects, such as ensuring the relevance of knowledge, integration with dynamic business processes, and support for working with tacit knowledge, which often remains outside formal information structures. Within the scope of the study, a method for assessing the effectiveness of knowledge management is proposed, based on the development of a quantitative model. This model enables a formalized analysis of existing knowledge management systems (KMS), identification of their weaknesses, and determination of directions for further improvement. The proposed mathematical model for quantitative assessment considers key factors such as the degree of knowledge formalization, the level of practical knowledge usage, content relevance, the breadth of subject matter coverage, and the degree of integration with business processes. The modeling results support the hypothesis regarding the limited effectiveness of existing KMS in rapidly changing organizational environments, which are characterized by high levels of uncertainty and the need for flexible and adaptive knowledge mechanisms. Based on an analytical example, it is demonstrated that traditional approaches to knowledge management do not adequately support the processes of tacit knowledge generation, transformation, and utilization. In conclusion, the necessity and relevance of developing a new knowledge management systems is substantiated. These systems should be more flexible, context-sensitive, equipped with built-in analytical tools, and capable of processing unstructured information while supporting work with tacit knowledge. Such systems can serve as strategic tools for ensuring organizational competitiveness in the knowledge economy.