This paper explores peculiarities in the formation and development of intelligent entrepreneurship as a new social phenomenon of national economies and the imperatives of its manifestation in the economic environment. The relationship between intelligent, informational, and innovative activities that shape the environment of modern entrepreneurship has been established. A new understanding of the essence of "intelligent entrepreneurship" and "talent management" categories has been proposed. The value of human capital, the realization of intelligent capabilities of the individual is recognized as the basic value of intelligent entrepreneurship. It has been proven that in modern conditions the most promising for national economies is the transition to open innovation models. It is noted that the development and effective use of intelligent potential are due to the need to increase the efficiency of innovation, science, and education systems, which ensures the economic growth of the national economy. The structure of intelligent potential of entrepreneurship under the conditions of digital transformation of the economy has been built. Original views on the essence and significance of the talent management system are presented. It is noted that intelligent entrepreneurship requires a holistic approach. The classification of communities of intelligent practitioners has been devised. The system of management of advanced reproduction of the latest knowledge of business entities has been formed. The directions of digital transformation of intelligent entrepreneurship have been outlined. A system-integrated methodological approach to determining the Index of digital transformation of business entities has been devised. The study results build on the theoretical and practical aspects of intelligent entrepreneurship, contribute to the effective use and development of the intelligent potential of entrepreneurial organizations and their network associations.

Purpose. Theoretical and methodical foundations deepening and projecting concerning business structures collective intelligence recommendations improvement based on human capital digital literacy in enterprises’ digital transformation. Methodology. The presented scientific research results were obtained using general and special cognition methods: morphological analysis, generalization and scientific abstraction; dialectical cognition, deduction and induction; system and cluster data analysis by Data Mining means; grouping and systematization; graphical and tabular presentation; abstract-logical method; econometric trend formation method. Findings. We deployed a science position regarding the progress of the enterprises collective intellect based on one of the main components – human capital computer knowledge. Emphasis is placed on anthropocentricity, which plays a decisive role in the business structures’ innovative activity. Our study argued the demand for joint intellect technologies in the enterprises’ cyber conversion. We highlighted the mass cooperation fundamental principles, which are based on a new management paradigm and proposed a new understanding of the categories essence: “digital competence”, “digital competency” and “knowledge culture”. Our research revealed computer knowledge concept subject status as an imperative for the joint intellect improvement. We analyzed the “EU digital competencе frameworks”; proposed the computer literacy framework for the enterprises’ staff capital; determined the primary role of education in the context of the society digital proficiency formation. Originality. We improved the science and methodical approach to determining company’s staff capital computer literacy level based on the analysis of “EU digital competencе frameworks”. The proposed method makes it possible to determine the cyber maturity potential and readiness for computer technologies implementation into business practice in order to ensure its development. Practical value. The results of authors’ science projects and practical recommendations contribute to the effective use and development of the business organizations’ collective intelligence and their network associations in the conditions of cybernated conversion.

No abstract

No abstract

No abstract