Linguo-Combinatorial Model for Diagnosing the State of Human Resources in the Digital Economy

Abstract

The article reveals the challenges for the strategic management of the development of the Russian economy in the perspective of advanced personnel training. The main socioeconomic and political factors that threatening the country in this sphere are considered. In the model for situation problems recognition problems by advanced training of engineering personnel in universities based on the linguistic-combinatorial approach, possible alternative network solutions for its solution are presented. The network-centered management and the nature of the digital economy set new requirements for training systems, starting at school level and that of the small innovative enterprises up to the global socio cultural cycle. The article reveals the problems of strategic management of the development of the Russian economy and advanced training of personnel. The main socio-economic and political factors that threatening the country in this sphere are considered. An approach to the recognition of problem situations based on linguistic combinatorial modeling, which can be used in the planning of advanced engineering staff training in universities, is proposed. The network-centered management and the limits of the digital economy set new requirements for training systems, starting at school and small innovative enterprises in the global sociocultural cycle. Constraint of the digital economy is proposed by an analogy with the application of Network-centric warfare in military affairs.