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The purpose of the research is to study the consequences of total (comprehensive) automatization of entrepreneurship for interested parties through the prism of competition human and artificial intellectual capital in production and distribution in Industry 4.0.

The research is conducted with application of scenario analysis, regression analysis, imitation modeling, forecasting and non-linear multi-parametric optimization with the simplex method.

The authors perform scenario modeling of competition between human and artificial intellectual capital in production and distribution in Industry 4.0 and offer recommendations for pro-active management of competition between human and artificial intellectual capital in production and distribution in Industry 4.0.

Contrary to the existing approach to studying competition between human and artificial intellectual capital in Industry 4.0, automatization of distribution, not production, is most preferable. This shows increase of the value of human intellectual capital in distribution during its automatization based on AI. This is an unprecedented and breakthrough conclusion for the modern economic science. It allows creating a completely new direction of research of competition between human and artificial intellectual capital in production and distribution in Industry 4.0, in which optimization of social consequences is achieved not by means of restraint of automatization but by means of its stimulation. The key condition is stimulation of automatization of distribution with limited automatization of production. Based on this conclusion, it is recommended to continue research in continuation of the presented work.

The purpose of this chapter is to compile the expected scenarios of development of digital economy in modern Russia and determine the essence and peculiarities of the optimal scenario implementation.

The research is based on the Theory of Games, which is used for comparison of expected scenarios of development of digital economy in modern Russia. A criterion of optimality of the scenario of development of digital economy in modern Russia in this work is effectiveness of its implementation, determined by comparing the results and expenditures in view of probability of each possible sub-scenario.

The performed scenario analysis of development of digital economy in modern Russia showed that the most effective and, therefore, optimal scenario is the one that envisages implementation of the offered new model of a well-balanced digital economy. Despite the fact that probability was determined only for sub-scenarios, within each distinguished scenario, (for determining confidence intervals of the values of indicators) which were not compared with the level of their probability, the given optimal scenario envisages the largest changes compared to the current set course of the formation of digital economy in Russia and hence is the least probable.

The established optimal expected scenario of development of digital economy, which envisages application of its new well-balanced model, is recommended for practical implementation in modern Russia. The given quantitative characteristics of the optimal scenario of development of digital economy in modern Russia could and should be recommended for usage as the basis for developing practical recommendations for monitoring and control of implementation of the optimization model of digital economy in modern Russia.

The purpose of the chapter is to determine the perspective directions of improving the process of decision-making in business systems by the example of modern Russia.

The scientific and methodological platform of this research is the Russian model of decision-making in modern business systems. For determining the perspective directions of improvement of the process of decision-making in business systems according to this model, the methods of systemic and problem analysis, modeling, and formalization are used.

It is shown by the example of modern Russia that perspectives of improving the process of decision-making in business systems are connected not to usage of alternative regional models of this process but to modernization of own models by usage of new organizational tools and innovational technologies. The perspective directions of improving the process of decision-making in business systems of modern Russia include development of systemic feedback and marketing with the help of outsource, increase of flexibility of organizational structure with the help of mediation, and usage of means of authomatization of managerial decisions with the help of intellectual technologies.

The compiled improved Russian model of decision-making in a modern business system showed the advantages of practical implementation of the offered perspective directions, connected to the most complete solution of the problem and implementation of possibilities of the business system, accelerated practical implementation of managerial decisions, and reduced the load on business managers. The presented example of improving the Russian model of managerial decisions in modern business systems reflects the possibilities and perspectives of improving other regional models.