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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.

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 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.

This chapter describes development and main achievements of the Belarusian IT sector which is today considered by experts to be the most promising and progressive part of the national economy. Special attention of the analysis is given to the governmental policy to stimulate information and communication technology sector growth through special legal regulations (e.g., High-Tech Park as favorable business environment for IT business since 2005) and efforts to promote transition of Belarus to the “IT country” through number of national programs and legislative instruments, including the President's Decree on Digital Economy Development (2017). Main scenarios of the Belarusian IT sector future development are proposed and analyzed, including risks and opportunities on such four paths as being the global IT development outsourcing provider; exponentially growing own software product companies; becoming the regional or even global cryptocurrency hub; integrating IT in all parts of the domestic economy in order to build Industry 4.0 and digital society.

The purpose of the work is to verify the offered hypothesis and to evaluate the potential of the modern Russian entrepreneurship in economy’s informatization.

A specially developed proprietary method of evaluation of entrepreneurship’s potential in economy’s informatization and the level of its opening is used, which is created on the basis of the classical method of effectiveness evaluation. The information and analytical basis of studying the entrepreneurship’s potential in economy’s informatization is the materials of the report “The Global Information Technology Report 2016. Innovating in the Digital Economy”, prepared and presented by INSEAD, JOHNSON (Cornell University) and World Economic Forum. The offered proprietary method envisages evaluation of entrepreneurship’s potential in economy’s informatization and the level of its opening on the basis of statistical data according to four criteria: business and innovational environment, business ICT infrastructure, usage of new ICT in business, and economic consequences of using new ICT in business.

The author evaluates the entrepreneurship’s potential in economy’s informatization in modern Russia in 2016 and concludes that entrepreneurship’s potential in modern Russia is rather high, due to which high value of the index of information economy’s formation in Russia is achieved. That is, large entrepreneurship’s potential in economy’s informatization should be viewed as a precondition for information economy’s formation in modern Russia.

The author proves that entrepreneurship’s potential in economy’s informatization is an important component of the process of information economy’s formation in the economic system and can stimulate successful and quick implementation of this process or, quite on the contrary, slow down it rated, based on which it should be paid more attention.

The purpose of this chapter is to verify the hypothesis on the influence of the model of information product promotion as the main element of information economy on duration of its lifecycle.

The chapter includes theoretical foundations of implementation of information economy, the model of information product promotion in the market, and recommendations for optimization of the model of information economy. The methodology of this chapter includes such methods of scientific research as problem and logical analysis, correlation and comparative analysis, synthesis and formalization, and application of the Theory of Games in description of the model of information product promotion.

The authors consider the process of informatization of society from the economic point of view. The conclusions are made regarding the difficulties during transition from industrial to information economy. Positive and negative aspects of implementation of information economy are determined. The model of information economy is described, and recommendations for its optimization are given. Connection between low expenditures for innovations and oil price fluctuations, peculiar for the countries that export oil and natural gas, is shown. Also, the model of information product promotion in the market is given. The sense of the model is to consider the lifecycle of the product in the Theory of Games.

The performed research contributed to the development of the concept of establishment of information society and information economy as the next post-industrial stage of society’s development.

The purpose of this chapter is to develop a new perspective model of well-balanced information economy.

The methodological tools of this work are based on application of the method of comparative analysis for comparing the old and the new model of information economy, modeling of socio-economic systems, simplex-method as an algorithm for solving the optimization task of linear programming, related to improvement of the conceptual model of information economy, and the method of formalization for graphical presentation of a new model of information economy.

The developed and presented author’s perspective model of information economy envisages balancing in four main directions: infrastructural possibilities and readiness for their practical usage by society and business; state regulation and market self-management; existing and new information; and external information exchange. Despite the clarity and strictness of conceptual settings, the new model is peculiar for increased flexibility and adaptation to the peculiarities of the socio-economic practice of economic system. Thus, the new model of well-balanced information economy allows overcoming all drawbacks – logical mismatches and contradictions – of the existing (old) model of information economy.

Due to optimization of the conceptual model, its practical implementation in economic activities of modern socio-economic systems becomes possible – as a result of which, with accumulation of experience, it will be possible to assess true value of the idea of information economy’s formation for humanity and the global economic system.

Purpose: Process innovations are becoming increasingly significant in a changing digital society. The goal of this study is to focus on the service industry, particularly on how this sector has lately been influenced by sustainable development and digitalisation. The main focus will be on education. The cohabitation of three aspects (innovation, digitalisation, and sustainability) is declared as a fact in the competitive landscape.

Methodology: This study uses a multi-case approach emphasising the new system of processes in educational institutions in Canada, Ontario. These case studies are relevant to exceptional results consistently produced by various educational institutions.

Findings: The Waterloo region is known as a digitalisation triangle in Canada. Personal experiences and research findings serve as an example of the value of the global digitalised economy as a partnership principle in the educational and entrepreneurship fields.

Significance: The obtained experience and the attempt to share the knowledge and results of this work and research will be useful in future for other academic environments, cities, and countries.

Practical Implications: Cohesion between the purpose of this study and practice is explained as a need to see educational institutions as an important factor of innovation and economic development. In this case, the author shows how this successful case of Ontario, Canada created a stronger base for competitiveness and economic growth.

The purpose of this chapter is to develop criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, determine the corresponding indicators, and offer the method of evaluation of the effectiveness of state management of the process of implementing the information economy’s optimization model.

This research applies the methods of induction, deduction, structural and functional analysis, and graphical presentation of information.

Based on the peculiarities of the information economy’s optimization model, three main criteria of the effectiveness of state management while implementing this model are distinguished: flexibility of the normative and legal provision of information economy; balance of the level and rate of development of the noosphere components; and success of the protection, usage, and preservation of information’s uniqueness. To distinguish these criteria it is offered to evaluate the effectiveness of state management of the process of implementation of the information economy’s optimization model by progressive comparison of the sum of results with the sum of limitations and costs for each direction of state management of the process of implementation of the information economy’s optimization model, related to the provision of observation of the above criteria. The author determines the indicators that conform to the offered criteria of effectiveness of state management of the process of implementation of the information economy’s optimization model systematized in connection to these criteria, and offers the formula for calculating the final indicator of the effectiveness of state management of the process of implementation of the information economy’s optimization model.

The offered criteria of effectiveness of state management of the process of implementing the information economy’s optimization model, the corresponding indicators, and the compiled methodology of evaluating the effectiveness of this process are recommended for usage as methodological provision of monitoring and control of implementation of the information economy’s optimization model.