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The purpose of this research is to comparatively analyze forms and methods of influencing transnational (global) companies on competition, including cross-border markets for goods and services at the sites of states with a dynamically developing socio-political structure and economy (for example, the BRICS countries).

The methodological apparatus of the research includes methods of economic statistics (econometrics): the method of variation analysis, the method of correlation analysis, the method of regression analysis, analysis of variance.

The article proves that the studied countries use three forms of obtaining competitive advantages: unique assets, high marketing activity, and high innovative activity. The direct results of obtaining these competitive advantages are an increase in sales, net profit and market capitalization.

Modern transnational (global) companies show high flexibility, successfully adapting to the specifics of target national and industrial markets. The influence of transnational (global) companies on competition, including cross-border markets for goods and services, is significant and contradictory. Optimization of this influence is possible, necessary and connected with implementing law enforcement practices of identifying anticompetitive actions of transnational (global) companies.

The purpose of this paper is to determine the perspectives and to adapt the analysis of “underdevelopment whirlpools” to the current needs of state management of digital modernization of the regional market of educational services in the aspect of determination and assessment of its disproportions as a tool of managing the regional market of education and managing the process of reorganization of regional universities in the conditions of transition to Industry 4.0.

Analysis of “underdevelopment whirlpools”, adapted by the authors to the specifics of the regional market of educational services, is used. The statistical basis for this paper includes the information and analytical materials as a result of monitoring the effectiveness of activities of educational organizations of higher education and the materials of the Federal State Statistics Service of the Russian Federation.

“Underdevelopment whirlpools” of the Kirov branch of St. Petersburg University of the Humanities and Social Sciences are analyzed, and reorganization of this university is recommended. “Underdevelopment whirlpools” in Kirov Oblast are analyzed, and an increase of regulation of this market is recommended.

It is substantiated that the method of analysis of “underdevelopment whirlpools” could be a tool of managing the regional educational market and managing the process of reorganization of regional universities in the conditions of transition to Industry 4.0. The advantage of analysis of “underdevelopment whirlpools”, as compared to the existing similar methods of assessment of disproportions in the development of the regional market of educational services (e.g. comparative analysis and plan-fact analysis), is the possibility not only to evaluate the static underrun from the model/plan but also to study its dynamics (depth and speed of sucking into “underdevelopment whirlpool”), which allows achieving high precision of the results of assessment.

The purpose of the chapter is to classify socio-economic systems from the positions of manifestation of conflicts in them and to substantiate the scientific and theoretical concept “conflict-free” as a characteristic of the process of development of socio-economic systems.

Methodology of the research includes dynamic modeling of the process of development of socio-economic systems. The author uses the conceptual model of conflict of socio-economic system as an analog of the model of economic cycle. Also, a complex of general scientific methods is used – induction, deduction, synthesis, and formalization.

Examples of “conflict-free” socio-economic systems of Turkey and Japan are analyzed through the prism of dynamics of their GDP in constant prices in 2006–2022, and features of their “conflict-free” nature are determined at different phases of the conflict.

It is substantiated that “conflict-free” nature is a capability of socio-economic systems to avoid conflicts (caused by internal causes) and, in the case of their emergence, to use conflicts in their own interests – for optimization of the model of development and intensification of economic growth in future. A socio-economic system is considered “conflict-free” only if it possesses all the corresponding characteristics at each phase of its conflict (through the prism of the economic cycle). An opposition to “conflict-free” socio-economic systems is “conflict” systems, which do not have the above characteristics and this cannot prevent conflicts, caused by internal reasons, and remain destabilized in case of a conflict (show stagnation and are subject to the second wave of the crisis).

This chapter’s goal is to determine the essence and causal connections of the emergence of conflicts at the level of economic systems (countries) due to technological inequality and to find the perspectives of overcoming these conflicts. The chapter models the economic and political conflict of modern time under the conditions of high-tech development based on the methods of variation analysis and regression analysis. It is proven that the scale of technological inequality in the world economy is very large. It is the economic and political conflict of modern time, the essence of which is as follows: the differentiation of economic systems amid digital development predetermines the opportunities for their entering the world markets. This chapter contributes to the development of the theory of economic and political conflicts, proving the existence of technological inequality as a new form of differentiation of economic systems amid digital development and defining this inequality as a new economic and political conflict of modern time. The chapter also contributes to the development of the theory of international trade, disproving – for the first time – the action of the principle of freedom of international trade. The authors describe technological barriers of the world markets, which limit the presence of countries that are behind the leading countries by digital development. Three key factors that determine the level of technological development of the economy are given: knowledge-intensive employment, venture investments and financing of innovations in business. Due to the above, the chapter provides opportunities for technological conflict management.

To reveal the impact of the development of technology parks and innovative networks on the national digital economies.

The following methods are utilised: the complex method, statistical analysis, comparative method, correlation analysis and linear programming (method of the game approach category).

We reveal the impact of the development of technology parks and innovative networks on the national digital economies. Analysis of the formation of the digital economy includes the assessment of its components (Rank Knowledge, Rank Technology, Rank Future readiness) in the context of the development of the analysed developed countries (Belgium, France, Iceland, Spain and Hong Kong). It is discovered that Hong Kong and Iceland have high indicators of digital technologies implementation. We prove that these results are connected to investments in this sphere made by integration structures, including the sphere of business, sciences and government agents (in the case of Hong Kong). We perform an analysis of the clustering of the given countries and describe the main forms of integration that ensure the innovative development of the economy. Based on the study of analytical and statistical materials, we determine the perspective model of the impact of these integration mechanisms on the state of innovative development of the digital economy, which could be applied to developing countries.

The originality and value of this research are due to the development of a model of the impact of implementing the integration mechanisms on the state of innovative development of the digital economy, which could be used in the case of developing countries.

Purpose: The purpose of this paper is to scientifically test the credibility (proof or refutation) of the existing argument for a technological leap in the COVID-19 pandemic and the post-pandemic period.

Design/Methodology/Approach: The conducted review of existing sources of research literature showed that they have formed an insufficient scientific background for a clear understanding of digital deprivation of services, social contradictions and conflict management as components of technological leap amid the COVID-19 pandemic and in the post-pandemic period. To fill the identified gap in the system of scientific knowledge, this work uses the method of comparative analysis of statistical data. Some countries of the world, the EU countries and the United States, which are characterized by the largest population and the largest contribution of investments to the digitalization of value chains and the development of innovations, were selected as objects for this study.

Findings: Research has shown that rapid digitalization is impacting all aspects of life, including not only how value is created and exchanged, but also how we interact, operate, purchase and receive services. In this process, data and its international flows are becoming increasingly important for development. The usual digital gap associated with connectivity, reflecting significant differences between and within countries in readiness to use the power of data, is exacerbated by what might be termed the data gap. Countries with limited opportunities to transform digital data into digital analytics and entrepreneurial opportunities, and to use them for economic and social development, are obviously at a disadvantage.

Originality/Value: Digital data have been proven to be one of the top strategic assets for creating both private and public value. Our ability to meet the Sustainable Development Goals (The 2030 Agenda for Sustainable Development, 2015) depends a lot on how these data are applied. The idea of sustainable development arose, as it is known, for overcoming significant fluctuations in the positive transformation of society, and for the alignment in the pace and results of the transition of various countries to the post-industrial scenario of progress. There are many obstacles on the path of sustainable development, which hinder the transition to this vector of transformation. First, the gap in economic and social development between the countries of the ‘golden billion’ and many other countries has not been reduced. Second, the digital gap continues to deepen. But a new and extremely threatening danger on the path to the transition to sustainable development has become the global crisis caused by the COVID-19 pandemic that emerged in early 2020 and is still ongoing.

Determining the right course for the future is a difficult task, but its solution cannot be postponed. Data are multidimensional, and their use has an impact not only on trade and economic development but also on human rights, peace and security. In addition, measures should be taken to reduce the risk of misuse and unauthorized use of digital data by states, non-states or the private sectors to avoid the possibility of global social conflict.

The goal of this work is to determine the nature and potential of the impact of the development of strategic alliances on the achievement of the key Sustainable Development Goals (SDGs) of the states.

The study is involved with the use of the universalisation method, statistical analysis method, trend-based method, simulation-based game approach and correlation analysis method. The values of estimated indicators have been determined through the use of these global rankings, identifying their level between 2018 and 2021 in the countries which rank among the leading countries in the field of development of strategic alliances (Malta, Canada, Sweden and Israel).

It has been established that sustainable economic development of strategic alliances scarcely ever has a positive impact on the achievement of the SDGs of the states. It has been established that such interaction is possible if these business entities observe certain terms ensuring the necessary development parameters of components of sustainable development. Conditions of the achievement of effect from the impact of business associations of these goals have been identified empirically.

It has been proven that such business associations as strategic alliances due to the range of their activity and the potential associated with it can act as economic institutions that complement the functions of the state towards the achievement of sustainable development milestones.

The academic novelty of this research is that it substantiates the potential to secure the impact of strategic alliances on the achievement of certain SDGs associated with the observance of certain organisational and economic conditions of strategic management.

This chapter models industrial, tech, and financial cooperation between Russia and the countries of the Asia-Pacific region. We use several complex methods of economic and mathematical modeling to analyze specific features of such cooperation and determine critical factors in industrial, technological, and financial development. The preferable choice for the Asia-Pacific region is cooperation with Russia, which is ready for an increase in imports of industrial and high-tech products as well as joint industrial innovational entrepreneurship. Investments would lead to synergetic effects, ensuring simultaneous industrial, technological, and financial development.

Purpose: This chapter aims to study the issue of technological inequality in the modern world economy from the position of assessment of the scale of global conflict and the scenario of its development depending on conflict management.

Design/methodology/approach: The performed review of literature sources has shown that they provide an insufficient scientific basis for determining the level of technological inequality in the modern world economy from the position of assessment of the scale of the global conflict and scenarios of its development depending on conflict management. To fill this gap in the system of scientific knowledge, we use the method of comparative and correlation analysis of statistical data. The research objects are China and the United States, as well as other countries of the world that have the highest level of technological development, trade, and digitalization.

Findings: This chapter provides a review of factors that determine scientific arguments in favour of technological inequality of countries, which leads to a global conflict. Many forms of inequality have a socio-economic character and are connected to access to the main services (healthcare, education, or accommodation), as well as incomes and access to the sources of income, especially in the sphere of employment. The deficit of decent work and inequality turned the COVID-19 pandemic from the crisis of public healthcare into the crisis of employment and social conflict, which influenced the subsistence of millions of employees. There is a real risk that without comprehensive and well-coordinated political actions, the increase in inequality and reduction of general progress in the labour sphere will be preserved in many dimensions. There’s a need for the measures of international policy to provide developing countries with access to vaccines and financial support, including through restructuring of debts.

Originality/value: It is proved that after the creation of the UN, the nature of conflicts and violence underwent serious changes. Conflicts take fewer human lives but last longer, and the frequency of conflicts between groups within a country is higher than the frequency of international conflicts. In certain parts of the world, crimes on a gender basis are increasing in numbers. Besides, technologies allow using robots, drones, cyberattacks, viruses, and hackers for military purposes. At the same time, international cooperation is weak, similar to the global ability to prevent and regulate conflicts and all possible forms of violence. Technological progress changes the character of the development of conflicts. Achievements in the sphere of AI and machine learning will play an important role in this process of transformation, so the character of threats from the government and non-government subjects will change. The use of AI raises the precision of cyberattacks and physical and biological attacks, making the identification of attackers very difficult.