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The aim of the research is to conduct a study into a configuration of an aircraft system with a focus on aerodynamics. In addition, trim condition and static stability constraints were included. The main application of this system is suborbital space flights. The presented concept of a modular airplane system (MAS) consists of two vehicles: a Rocket Plane and a Carrier. Both are designed in tailless configurations but coupled formed a classic tail aircraft configuration, where the Rocket Plane works as the empennage. The most important challenge is to define the mutual position of those two tailless vehicles under the assumption that each vehicle will be operating alone in different flight conditions while joined in one object create a conventional aircraft. Each vehicle configuration (separated and coupled) must fulfil static stability and trim requirements.

Aircrafts’ aerodynamic characteristics were obtained using the MGAERO software which is a commercial computing fluid dynamics tool created by AMI Aero. This software uses the Euler flow model. Results from this software were used in the static stability and trim condition analysis.

The main outcome of this investigation is a mutual position of the Rocket Plane and the Carrier that fulfils project requirements. Also, the final configuration of both separated vehicles (Rocket Plane and Carrier) and the complete MAS were defined. In addition, it was observed that in the case of classic aircraft configuration which is created by connecting two tailless vehicles increasing horizontal tail arm reduces static stability. This is related to a significantly higher mass ratio of the horizontal tail (the Rocket Plane) with respect to the whole system. Moving backward, the Rocket Plane has a notable effect on a position of a centre of gravity of the whole system static stability. Moreover, the impact of the mutual vehicles’ position (horizontal tail arm) and inclination angle on the coupled vehicle lift to drag ratio was analysed.

In terms of aerodynamic computation, MGAERO software using an inviscid flow model, therefore, both a friction drag and breakdown of vortex are not considered. But the presented research is for the computation stage of the design, and the MGAERO software guarantees satisfactory accuracy with respect to the relatively low time of computations. The second limitation is that the presented results are for the conceptual stage of the design and dynamic stability constraints were not taken into account.

The ultimate goal of the coupled aircraft project is to conduct flying tests and the presented result is one of the milestones to achieve this goal.

A design process for a conventional aircraft configuration is well known however, there are not many examples of vehicles that consist of two coupled aircrafts where both vehicles have similar mass. The unique part of this paper includes results of the investigation of the mutual position of the vehicles that can fly alone, as well as in coupled form. The impact of the position of the centre of gravity on trim conditions and static stability of the coupled configuration was investigated.

The purpose of this chapter is to evaluate the completeness and substantiation of the indicators of implementation of measures on information society’s formation in the conditions of information war and economic sanctions from foreign countries, and to assess the dynamics of indicators and their achievability according to the plans of state development.

The adequately selected list of target indicators will determine the future national policy regarding the process of informatization in all spheres of national economy. Moreover, the indicators set at the stage of planning of national events will signal the correspondence of the obtained result to the planned result.

The research applies the methods of graphic presentation of information, trend analysis, method of comparison, analogy, and systematization.

According to the peculiarities of the information economy’s optimization model, the main indicators of implementing of measures for the formation of information society are: index of development of information technologies; share of citizens who received state and municipal services online; share of the population that do not use the internet; level of differentiation of the subjects of the RF regarding integral indicators; share of households with access to the internet; number of highly efficient jobs according to the type of economic activities “communication.” Evaluation of implementation of these indicators and their completeness proved the necessity for reconsidering the transfer of the implemented measures and reducing the number of ineffective ones.

The viewed target indicators and evaluation of achievement of these indicators of efficiency of state management of the process of implementing the model could be the basis for future correction of the process of implementation of this program. The used method of analysis could be recommended as the methodological provision of monitoring and control over the implementation of information economy’s optimization model.

This study is a comment on Geoffrey Hodgson’s “Discovering Institutionalism: One Person’s Journey.” In this self-description of the evolution of his thought, Hodgson distinctly acknowledges Thorstein Veblen’s influence on his own institutional perspective. This is the issue that I explore in this study. My argument is that Hodgson can be understood as a Veblenian, but he does not fit in the Veblenian notion that became popular in the mid-twentieth century. I argue that Hodgson’s notion of habits is the strongest Veblen’s influence on him, and his reconstitutive downward and upward causations are in line with Veblen’s institutionalism, albeit without the mid-twentieth century Veblenian writings. I also address the approach to the content of habits as a break between Hodgson’s and Veblen’s institutionalism. By offering an unprecedented Veblenianism, I argue that Hodgson’s institutional economics can be understood as a new institutionalist segmentation.

The purpose of this chapter is to study perspectives of formation of the optimization model of a well-balanced information economy in modern Russia.

The research methodology includes the complex SWOT analysis of the environment, wherein the optimization model of a well-balanced information economy in modern Russia is implemented; this analysis allows determining threats and possibilities for its formation. Also, the method of formalization is used that allows tablulation of results.

The authors show a number of prerquisites for the formation of a well-balanced information economy in Russia, as well as multiple internal barriers on the path of its development. One of the barriers is deficit of resources. Also, there exist large perspectives of formation of the optimization model of a well-balanced information economy. These perspectives include improvement of legal conditions of financing of development of digital economy, intensive development of the ICT spheres and online business, growth of innovational activity and efficiency in the information sphere, and creation and stimulation of implementing the possibilities for feedback in the course of information economy’s formation. Based on the analyzed tendencies, it is concluded that these perspectives will allow overcoming the major barriers on the path of implementation of the strategy of building the optimization model of a well-balanced information economy in modern Russia, related to deficit of resources, structural imbalance of the noosphere, low efficiency of information, and linear direction of the process of management of information economy.

The authors determine that successful practical implementation of this strategy is largely predetermined by the capability of state regulators for a highly effective management of internal and external factors. It is recommended to pay attention to the management of these factors in the process of practical implementation of the strategy of forming the optimization model of a well-balanced information economy in modern Russia.

The purpose of this chapter is to develop a framework strategy for implementing the optimization model of information economy in modern Russia, aimed at its adaptation to the peculiarities of the Russian economic practice.

The methods of induction, deduction, synthesis, and systemic analysis are used, as along with goal-oriented approaches, such as the method of modeling of socio-economic systems, and the method of formalization.

The authors develop the framework strategy of implementing the optimization model of information economy in modern Russia that takes into account specifics of socio-economic development and informatization of the Russian economic system at the modern stage. This strategy differs from the strategy of formation of an information economy implemented in modern Russia. The most important difference is a wide and comprehensive balance, while the Russian economy is tolerant toward imbalance. The offered strategy allows refusing from copying economic practice implemented by other countries and determining own path of formation and development of information economy. This envisages the Russian treatment of the principles of implementing the innovational model of a well-balanced information economy. This treatment is based on the current possibilities of the Russian economy and on the set goal within the formation of an information economy. Due to this, the possibilities and needs of strategic development of information economy in modern Russia are balanced.

The developed framework strategy of implementing the optimization model of information economy in modern Russia is recommended for usage in the domestic economic practice.

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 this chapter is to study the correlation of evolutional and revolutionary transformations in a socio-economic system in the conditions of the formation of an information economy by taking the example of modern Russia.

To distinguish these transformations by studying the information economy, based on the materials of reports and recommendations of the OECD and the World Bank, the indicators that show macro-economic transformations in a socio-economic system in the conditions of formation of an information economy and their control values that correspond to evolutional and revolutionary changes were determined. During the research, the authors used the method of comparative analysis for comparing the values of the indicators in modern Russia with the control values of the indicators that show macro-economic transformations in the socio-economic system in the conditions of the formation of an information economy and classify the corresponding transformations as evolutional and revolutionary. The information and analytical basis includes the materials of the reports of the Higher School of Economics, the OECD, the World Bank, the International Telecommunication Union, the World Wide Web Foundation, the Digital single market, the INSEAD, the WIPO, and the Cornell University.

As a result, it is concluded that the planned transformations in a socio-economic system in the conditions of formation of information economy by implementating the optimization model of this process have an evolutional characteristic. Herein, certain transformations have a revolutionary nature.

The authors determine that the largest revolutionary transformations are due for 2022–2025. However, their classification is caused not by high rate of growth of the indicators’ values but by their achievement of control values. Therefore, the largest socio-economic shifts in the economic system in the modern Russia due to the formation of an information economy will take place in 2019–2022. Hence, in this period, an anti-crisis management of this process should be conducted.

This chapter is aimed at the elimination of contradictions and the development of a strong and transparent theoretical basis for studying information economy, with the goal of determining the basic characteristics of information economy and compiling its conceptual model.

The research methods include the methods of systemic, logical, structural and functional analysis, synthesis, induction, deduction, method of modeling socioeconomic systems, and method of graphical presentation of information. The authors also use the noosphere research method that allows for the viewing of the information economy as a noosphere and studying the role, interdependencies, and results of interaction between its components – the technosphere, sociosphere, and economic sphere.

As a result, the authors develop and present a graphical conceptual model of information economy, in which the noosphere is in the form of a pyramid. The pyramid is based on technosphere – spheres of economy in which information and information and communication technologies are produced, which provides technological support for information economy. The pyramid’s center is occupied by sociosphere – information society – which is the social core of information economy, in which the constant exchange of electronic information between economic subjects in information economy and outside of it due to its openness takes place. The pinnacle is occupied by economic sphere – economic tip of information economy – in which information and information and communication technologies are used in economic activities, and informatization (transfer into electronic form) of all spheres of economy takes place. The flows of resources and information move from the foundation of the pyramid to its pinnacle, due to which the target result is maximized – intensity of creation and effectiveness of using new information – which is knowledge and technologies.

The authors recommend the use of the presented graphical illustration for studying the conceptual model of information economy.

The purpose of this chapter is to determine the main stages in the formation of information economy.

The authors use the method of noosphere research, a bifurcation approach to studying dynamic systems, which is related to systemic approach, the method of structural and functional analysis, the method of dialectical materialism, and the methodology of the institutional economic theory, abstraction, and formalization.

As a result of complex application of totality of the aforementioned methods and approaches to study the formation of information economy, the authors determine the essence and the main stages of information economy: formation of technosphere (technological foundation), formation of sociosphere (social core), and formation of economic sphere (economic pinnacle). At each of these stages, economic system faces serious socioeconomic changes that first face opposition from society and business, but then – with accumulation of practical experience – are accepted, opening the possibility for transition to the next stage of this process.

The authors conclude that while the influence of the global financial crisis in the early twenty-first century is common for all modern economic systems, it stimulated them to begin the formation of information economy. Furthermore, socioeconomic changes that followed this phenomenon are diverse and are largely predetermined by the context such as readiness of economic systems for continuation of their evolution, their reaction to crisis, susceptibility to changes, and other national peculiarities. That’s why the speed of passing the various stages in different economic systems varies.