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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.

We advance entrepreneurship research by developing a theoretical model of how founding teams form. Our neo-Carnegie model situates nascent founders in particular network-structural milieus, engaging in aspiration-driven search for and evaluation of prospective co-founders. The formation of co-founding ties between nascent founders can be divided into four theoretical steps, which we label activation, evaluation, approach, and reciprocation. Successful founding team formation is a consequence of mutually favorable evaluations by nascent founders in a multi-sided matching process. Nascent founders with higher and less flexible aspirations are more likely to undertake distant search for co-founders by seeking referrals, forming ties with strangers, and forming new ties to social foci where they might meet potential co-founders. Churn in newly formed founding teams emerges as a consequence of shifting dominant coalition dynamics in the founding team caused by organic venture evolution and intentional changes in strategic direction. Our theoretical model provides new insights on the formation pathways of founding teams, their initial task and relational resource endowments, and initial team dynamics.

Innovation project development is becoming more important in boosting competitiveness of universities and enterprises. It will not be possible to ensure rapid economic growth of enterprises without competitive innovations and without their introduction into education and business practice. The object of the research paper is innovations in teaching entrepreneurship. The subject of the research paper is analysis of the effective entrepreneurship education at the universities. The objective of the research paper is to study the integration process of technological business environment (TBE), intellectual capital (IC) formation, innovation project (IP) development at the universities and enterprises.

The tasks advanced in order to reach the objective: to identify the concept of IC, IP, the methodology of IP development at the universities, their main actions and methods; to carry out analysis of the TBE in Latvia, indicators characterizing it environment, the factors of TBE influencing IC, IP development at the universities and enterprises; to estimate the IP development as the teaching method at the universities and business practice in Latvia. The research period is from the year 2007 till the year 2020. This is the first research on the analysis of indicators of TBE influencing IC formation, IP development at the universities; the efficiency of involvement of academic staff in the formation of IC and IP development into entrepreneurship education in Latvia; definition of the IP development as the teaching method and presentation of its theoretical and practical interpretation.

We outline an economic theory of choice of organizational form, concentrating on explaining the selection of contractual relations within employee-owned firms. We then test the theory on a new database of U.S. producer cooperatives and find that the theory is largely supported by the data. Our principal conclusion is that producer cooperative formations have been rather strongly responsive to variations in economic conditions. While procyclical theories are clearly rejected, countercyclical theories receive considerable support. Neither political motivations nor legal institutions, especially the existence of cooperative incorporation laws, appear to have accounted for a portion of cooperative formations on a systematic basis. Support organizations have significant positive impacts on the formation rate of new cooperatives.

This study addresses an important yet underdeveloped topic in routine dynamics research: how do routines form? Given the salience of routine formation in new ventures, this study is based on a single, longitudinal case study, following MatchMe, a technology-enabled startup. Building on findings from MatchMe, this study posits routine formation as a layered process. Rather than replacing established routines, routine formation was sequential. New routines were formed in addition to routines that continued to run in parallel. Routine formation was guided by organizational goals and monitoring their attainment. Multiple routines are formed to explore and create possibilities by shifting espoused ideals to attain organizational goals. This study advances routine dynamics in three distinct ways. First, it elaborates on a predominantly binary view of routine formation. Second, it extends work focused on the active creation of patterns. Third, it extends the response and outcomes of routine change, providing avenues for future research to explore strategic consequences of routines for outcomes typically associated with firm performance.

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.

This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial, populist and democratic pacts, suitable for analysis of state formation and nation-building through to the present period. The framework relies on historical institutionalism. The methodology, however, is Rokkan's. The initial conceptual analysis also specifies differences between European and the Middle Eastern state formation processes. It is followed by a brief and selective discussion of historical preconditions. Next, the method of plotting singular cases into conceptual-typological maps is applied to 20 cases in the Greater Middle East (including Afghanistan, Iran and Turkey). For reasons of space, the empirical analysis is limited to the colonial period (1870s to the end of World War 1). Three typologies are combined into one conceptual-typological map of this period. The vertical left-hand axis provides a composite typology that clarifies cultural-territorial preconditions. The horizontal axis specifies transformations of the region's agrarian class structures since the mid-19th century reforms. The right-hand vertical axis provides a four-layered typology of processes of external intervention. A final section presents selected comparative case reconstructions. To the authors' knowledge, this is the first time such a Rokkan-style conceptual-typological map has been constructed for a non-European region.

We discuss the ‘gloomy’ side of firms’ embeddedness in networks of inter-firm partnerships. We propose a nested understanding of the effects of three levels of overembeddedness – environmental, inter-organizational and dyadic overembeddedness – on subsequent inter-firm partnership formation and argue for a joint examination of these three levels and their interactions over time. As a whole, increases in firms’ embeddedness will generate decreasing returns to the firms involved, prompting (i) the search for and attachment to novel partners and (ii) the dissolution of extant partnerships. On the flipside, overembeddedness thus sparks network evolution – by cueing firms to look beyond their embedded partnerships.

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 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.