Professional and qualification potential of the digital society: indicative evaluation and systemic management

Abstract

PurposeThe purpose of the research is to develop scientific and methodological recommendations for indicative evaluation and systemic management of the professional and qualification potential of the digital society and to approbate them by the example of modern Russia.Design/methodology/approachThe authors use the proprietary algorithm of the creation and implementation of the professional and qualification potential of the digital society. Based on the new algorithm, a proprietary methodology of indicative evaluation of the professional and qualification potential of the digital society is developed.FindingsThe authors offer a complex of recommendations for systemic management of the professional and qualification potential of the digital society and their approbation by the example of Russia in 2020, which allow achieving high effectiveness of this management. The results of approbation of the proprietary methodology and recommendations by the example of Russia in 2020 showed that the professional and qualification potential of the digital society is rather high and well-balanced; it is normal but has perspectives for an increase. There is an imbalance, which is caused by the domination of the development of the education market over the market of labor and entrepreneurship. Based on this, managerial measures are recommended for the development of the professional and qualification potential of the digital society in Russia.Originality/valueThe offered algorithm sets the foundation of an expanded view of the studied process, according to which the professional and qualification potential of the digital society is not only limited by the educational market but also covers the labor market and entrepreneurship. This view is revolutionary for modern Russia. The advantages of the authors’ methodology of indicative evaluation of the professional and qualification potential of the digital society include the usage of the complete set of qualitative and quantitative indicators, delimitation of indicators as to the stages of the algorithm, and the improved matrix for treatment of the results.