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The purpose of the chapter is to distinguish the process of formation of algorithm of making of managerial decisions in the age of constant changes. The methodology of the chapter includes the method of theoretical foundations, the method of theoretical differentiations of categorical tools, the method of algorithmization, and the method adaptive perception. The research results include the following theses: the problems of the research are current and important; categorical structure of definition “making of managerial decisions” is reflected within functions of management, the process of managerial activities, and decision making on the basis of the risk; actions on solving problems; the aspect of making of managerial decision is limited; authors' algorithm of making of managerial decision reflects rationality and irrationality of the formed situation. This article could be supplemented with practical recommendations in the sphere of making of managerial decisions.

At present, the development of information technologies changes the whole system of public functioning. Special attention is paid to the system of higher education, as it forms future highly qualified specialists, who will become the basis of digital economy. According to this, new remote technologies are implemented into the system of education each year, which are a basic prototype of smart technologies. The purpose of this paper is to determine the role of remote technologies in the development of the system of higher education and to form skills with the students.

Based on this, it is necessary to solve the following tasks: view the aspects, peculiarities and possibilities of remote education; distinguish the main tools of remote technologies in education; offer electronic final program as a remote method of evaluation of students’ knowledge.

In this study, the following methods are used: analysis, synthesis, logical method, abstraction and comparison. Scientific novelty consists in performing research in the sphere of significance and implementation of remote technologies in the system of higher education of the Russian Federation.

This research could be useful for public officers who form programs of development of higher education and for academic staff of higher educational establishments.

The purpose of the paper is to study the influence of education on placement of production in the agro-industrial complex (AIC) in the conditions of Industry 4.0.

For studying the experience of modern Russia in the aspect of the influence of education on placement of production in the AIC, the author uses the methodology of economic statistics. The author performs analysis of the ratio of the number of companies of the AIC and the share of the employed with higher education in the federal districts of the Russian Federation in 2018. Two markets are distinguished in the structure of the AIC: agriculture and food industry. Also, the method of regression analysis is used for compilation of regression curves, which reflect the dependence of the number of companies in the AIC (in view of the distinguished markets) on the share of the employed with higher education.

The results of the performed research showed that during the third technological mode in Russia, accessibility and quality (level of education) of human resources are insignificant factors during decision-making on placement of production in the AIC. In the conditions of Industry 4.0, the situation will change, and education will have significant influence on placement of production in the AIC. The higher the level of education of a territory’s human resources, the lower the entrepreneurial risks (risk of equipment’s failure and production defects), the higher the probability of creation of know-how (possibility to save on R&D with high innovative activity) and the higher the opportunities for selling the products of AIC 4.0 on the territory.

Entrepreneurial structures are recommended to use the developed algorithm of selecting a territory for placement of production in the AIC in the conditions of Industry 4.0, in view of the level of education.