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The purpose of this chapter is to determine the level of readiness of the Russian society for information economy’s formation. For the formation of information economy, the authors use the methods of classification and structural analysis, as well as the proprietary method of criterial evaluation of society’s readiness. This method envisages structuring of population according to the main criteria: territory of residence (geographical criterion), age, level of education, level of income, and susceptibility to innovations (adaptation criterion). Based on the statistical data on readiness of various social categories for information economy’s formation and the share of these categories in the structure of population, the index of society’s readiness for information economy’s formation is calculated. The authors perform criterial evaluation of readiness of the modern Russian society for information economy’s formation as of 2017 and compile the model of the modern Russian society, structured according to the criterion of readiness for information economy’s formation. As a result, they conclude that information economy’s formation could face unreadiness of society, which is a serious barrier on the path of implementation of this process. During evaluation of the level of society’s readiness for information economy’s formation, it is expedient to structure it as per the five main criteria: territory of residence (geographical criterion), age, level of education, level of income, and susceptibility to innovations (adaptation criterion). The received structure of society allows compiling general impression on readiness for information economy’s formation of representatives of various social categories. The example of modern Russia could be the basis for similar evaluation of the level of society’s readiness for information economy’s formation in other countries of the world. This will allow developing and conducting more effective state social policy, which is directed at target influence on representatives of various social categories in the interests of increase of their readiness for information economy’s formation.

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 the research is to determine the stages of the development of information economy in modern Russia and to create a conceptual model of establishment and development of information economy in modern Russia.

The methodology of the research includes a systemic approach and the method of comparative analysis.

The authors conclude that despite large potential, Russia is still at the initial stage of information economy’s formation due to the influence of the determined institutional, structural, and investment barriers. At present, Russia is in the process of transition from the initial stage of information economy’s formation, which is related to the formation of technosphere (spheres of the ICT), to the middle stage, in which sociosphere (information society) is established. However, despite this, there is a large potential in the sphere of informatization of socio-economic system of Russia, which belongs to the final stage of the formation of information economy.

The created conceptual model of establishment and development of information economy in modern Russia showed structural disproportions in information economy of modern Russia. Insufficient technological support, which has resulted in ineffective state management during the formation of information economy at the initial stage, cannot be combined with independently formed social core, the process of creation of which, initiated by the state directive on transition to the middle stage of the formation of information economy, should have started this year. The authors offer practice-oriented recommendations for correction of the current strategy of information economy’s formation in modern Russia.

The purpose of this work is to determine the key barriers on the path of information economy’s formation in modern Russia and to determine the possibilities and perspectives of overcoming them.

In order to determine weak spots in the Russian practice of information economy’s formation, the values of the indicators that reflect the corresponding progress in technosphere, sociosphere, economic sphere, and target result in Russia are compared to average values for the leading countries of the world that achieved the largest success in the formation of information economy. For that, the method of comparative and problem analysis is used.

In the course of the research, the institutional barrier, which is related to the limitation of acceptance of priorities of information economy in the national strategy; structural barrier, which is based on insufficient development of the ICT spheres; and investment barrier, caused by deficit of investments in the ICT spheres, were found.

The determined barriers do not correlate with the national peculiarities of the socio-economic system of modern Russia. In particular, despite the incompleteness of market reformation, the level of informatization of the Russian economic system is very high. Despite the traditional public mode, sociosphere is the sector of the largest success in Russia in information economy’s formation, and the directive character of modernization of the socio-economic system stimulates quick formation of information economy due to timely establishment of the corresponding strategic course and implementation of state initiatives in the direction of its practical implementation.

The purpose of the chapter is to study the European experience of formation of information economy.

The methodology of this chapter is based on the method of statistical analysis, which is used for calculation of direct average of the values of the indicators of European countries for each indicator of information economy, scatter (variation), and deviation of the average value of European countries from the average value among the leading countries of the world (average global value). The objects of research of the European experience of information economy’s formation are the leading countries of Europe that have the largest potential and achieved the largest progress, setting the tone for other members of the European region. The leading countries are UK, Germany, and France. The data of 2017 are used.

The results substantiate that modern Europe achieved sufficient progress in information economy’s formation, and differentiation of the level of informatization of economic systems is expressed vividly, but only in certain aspects. In general, it is possible to determine common tendencies and peculiarities based on offered conceptual model of establishment and development of information economy in European countries. This new conceptual model takes into account and reflects the existing disproportions, of which the most vivid is overestimated massive technosphere, which is not implemented to the full potential due to social problems. Against its background, sociosphere and economic sphere that are standard for modern leading countries seem to diminish. At the same time, due to the strong role of the state in economy of European countries, high effectiveness of state regulation in the process of information economy’s formation is achieved if high share of high-tech export is expressed with smaller expenditures for innovations in the ICT spheres.

It is recommended to use the offered conceptual model to study the process of formation of information economy in European countries and comparing the effectiveness of this process in other regions of the world.

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.

The purpose of this chapter is to determine the basic preconditions to information economy’s formation in modern Russia.

The methodology of the research includes the method of comparative analysis, which is used for comparing the values of the indicators of informatization of Russia’s socio-economic system to the indicators of other countries, and the method of trend analysis, which is used for determining the growth rate of these indicators in Russia.

The authors study the dynamics of the values of the indicators of information economy in Russia in 2008-2017 and determine three basic preconditions to the formation of information economy in modern Russia. The first precondition is related to the necessary normative and legal provision of information economy that determines the course at its formation. The second one is related to the readiness of infrastructural provision (mobile communications, the Internet, the system of e-commerce, and online payments) for formation of information economy. The third precondition is vivid progress in informatization of the socio-economic system, as a result of which Russia exceeds the average global level.

It is concluded that Russia has quickly implemented the strategy of modernization of the socio-economic system, creating a platform for formation of information economy.

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 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.

The purpose of this chapter is to study the American practice of implementing the model of information economy as an example to the leading countries of the American region of the global economic system and to compile a conceptual model of formation and development of information economy in modern America.

For provision of compatibility of data on different regions of the global economic system, the research is performed on the basis of the previously used methodology and information platform. The values of the indicators of technosphere, sociosphere, economic sphere, and target result in information economy’s formation in American countries and are compared to determine their variation from direct average; subsequently, they are compared with the global values for evaluation of percentage deviations. The research concerns countries such as USA, which is a leader in the American region with regard to the global economic system, Canada, which is the country closest to the level of economic development by the region’s leader, and Brazil, which is the foremost leading country among the developing countries of the American region. The data from 2017 is used in the study.

The authors conclude that the US economy is not a deviant economic system but a true leader of the American region with regard to the the global economic system. That is, the USA shows higher level and rate of information economy’s formation, but applied that for the same conceptual model as other countries of the American region. The most vivid uniqueness of the American model of establishment and development of information economy is the stage-by-stage character of the noosphere pyramid, which is manifested by vivid reduction of the area of its structural elements, the most massive of which is technosphere, which corresponds to the indicators that are standard for the leading countries of the world.

The offered conceptual model is recommended for studying the formation of information economy in the America region and compare this process in other regions of the world.