Igor Khanin

To carry out a comparative analysis of the EU countries’ national innovation systems (NIS), a feature vector has been compiled, covering three modules, namely, science, education, and innovation. The feature vector is a valid multidimensional data set of sixteen official statistics indices and two sub-indices of the Global Innovation Index. The development of a cognitive model for managing the NIS parameters required a preliminary three-stage empirical study to determine its elements. In the first stage, cluster analysis was performed (the k-means, metric – Euclidean distance algorithm was used). As a result, the EU countries were divided into four clusters (following multidimensional scaling estimates). In the second stage, a classification analysis (using decision trees) was carried out, which allowed determining three parameters that distinguish clusters (or classes) optimally. These parameters are recognized as important ones in terms of positioning the countries in the general ranking; that is, they can be considered as a priority for the NIS development and improving the countries’ positions in international comparisons. In the third stage, based on the authors’ approach, the significance (information content) of each key parameter is estimated. As a result, a cognitive model was compiled, taking into account the parameter significance. The model can be used in managing the NIS parameters, seeking to increase the system performance and improve the international position of a specific country. The model can also be used by partner countries, for example, Ukraine, as it demonstrates the landscape of EU innovative development and outlines the directions for priority development of NIS towards the European progress.

Escalating competition, technological changes and the struggle for innovation present companies with a knowledge management (KM) challenge. To implement it at the modern level, it is necessary to develop a knowledge management system (KMS). Significant opportunities for this are created by information technologies (IT), qualitatively changing approaches to knowledge management. Therefore, the study aims to clarify the theoretical foundations of shaping the company’s KMS and conceptualize information tools for its formation. Within the theoretical foundations of KM, its essence (as a systematic management activity and a set of measures to ensure the business processes of obtaining, storing, disseminating and using knowledge in the company), the subject (the aforementioned processes and various types of knowledge), and links with other types of management (innovation, information, personnel management, etc.) are specified. Given the main goals, principles and tasks of KM, its main approaches, key processes and control elements are summarized. The conceptual foundations of KMS development are formulated and its subsystems (methodological, planning, information, and functional subsystems for ensuring business processes for obtaining, distributing and using knowledge) are highlighted. Given the importance of IT, the following concepts have been formulated: a portal for R&D management, innovation management platforms, and a tool for formalizing knowledge and corporate knowledge base. Their purpose, functionality, and the role of ensuring work with knowledge and KM implementation are described. The problem of their implementation, operation and improvement is emphasized. The research results allow creating a new technological basis for the introduction of knowledge management.