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The chapter reviews the structure and functional area of decision support systems (DSS) for managing complex social and economic systems (CES). Particular features of building DSS to regulate the labor market in the context and with regard to peculiarities of the rural population, including pensioners are reported. Analytical models are provided in the form of differential equations describing the laws of changing SES performances under study due to migration of the population. The application of cognitive approach to build an analytical subsystem of DSS is substantiated. The peculiarities of building DSS for environmental and economic management are shown.

This chapter stands for justification of growing demand for supporting new theoretical and methodological approaches in development of an actual green economy’s financial framework taking into consideration modern growing risks in the ecological, economic, social, and geopolitical environments. A notable increase in environmental expenditures of both national economies and international financial institutions is determined by the global state of the economy. The climate change has been caused by escalating the energy supply struggle, the nature exhaustion, and the need for providing balance to the market stating green economy regulators. The main aim of this chapter is to study the trends and the key state green finance regulation points. The research goal could be achieved through highlighting the nature of green finance and its framework; studying the concept of green finance and innovative financial tools’ development, providing green economy’s development; and spotting trends and imperatives of regional regulation of green finance. This chapter highlights the necessity for implementing complex systemic and methodologic approaches in making the green finance framework, summarizing leading practices in green funding and green economy’s funds raising, considering limits in green finance tools’ utilization in current conditions, strengthening the power of both federal and regional authorities in solving financial problems of energy saving, and extending the practices of companies and institutions’ green financial tools’ utilization. The necessity for a green sustainable development across the globe has driven this research to use different types of instruments to point out the benefits of such a development. In addition, green finance state regulation tools have been proposed.

This chapter presents the development prospects of environmentally safe standards in the Russian Federation. It also addresses the imbalance between the natural, socio-economic, and scientific substantiation of green economy development.

The main idea of this chapter is based on the necessity of technological modernization, which would facilitate the reduction of environmentally unfriendly production methods, the decrease in natural resources depletion, and the increase in economy competitiveness by reducing the dependence on carbon energy.

The authors substantiate reasons and effective solutions for a green economy aimed at realization, implementation, and successful exploitation of innovation in the alternative energy production space.

Empirical studies show substantial variation across immigrants in the rate and direction of assimilation along various dimensions (e.g., cross-ethnic contact, language, identity). To explain this variation, past research has focused on identifying exogenous factors, such as discrimination, human capital, and settlement intention. In this chapter we argue that variation in immigrant outcomes emerges endogenously through positive interaction effects between dimensions of assimilation. We propose a new assimilation model in which processes of social influence and selection into congruent social environments give rise to multiple long-term equilibria. In this model, migrants who are already assimilated along many dimensions tend to also adapt along other dimensions, while less assimilated migrants become more strongly embedded in their ethnic group.

To test the assimilation model, we derive a number of hypotheses, which we evaluate using trend analysis and dynamic panel regression on data from the Longitudinal Survey of Immigrants to Canada.

The data mostly confirm the hypotheses, providing overall support for the assimilation model.

Our theory and findings suggest that immigrants would follow divergent assimilation trajectories even in the absence of a priori population heterogeneity in external factors.

The positive interaction effects between cultural and structural dimensions of assimilation suggest that mixed policies that promote integration while seeking to prevent loss of identity go against the natural tendency for cultural and structural assimilation to go hand in hand.

The present chapter proposes a novel model of immigrant assimilation and an empirical test.

This study aims to explain and illustrate the character of Russian systems thinking and to show how it is different and similar to traditions in the West. This study’s second aim is to describe the contributions of some Russian scientists to developing systems thinking and the theory of evolution. This study introduces the predecessors of Charles Darwin in Russia, both supporters and critics of his ideas, as well as scientists who have made similar contributions to the development of systems thinking, particularly Vladimir Vernadsky and Alexander Bogdanov.

Philosophical and theoretical comparisons. In the Russian intellectual tradition, the terms “Russia” and the “West” are likely codes for signifying fundamental philosophical questions about the universality of thinking and culture. The term “West” means universal, rational truth without taking into consideration any differences in life and cultural practice. The term “Russia” means impossibility of such a universal truth and a necessity to look for solutions on the level of life, not only on the level of rational thinking.

Paying attention to differences in approaches to systems and cybernetics and the theory of evolution will enrich the further development of systems sciences in Russia and the West. The paper examines the philosophical underpinnings of science rather than just testing or extending an existing theory. The result is better mutual understanding among scientists with different backgrounds.

This study suggests new avenues for research and expands the range of conceptual possibilities. It improves mutual understanding among scholars and countries. Also, it adds to the topics discussed within the field of systems and cybernetics and the theory of evolution.

Technology has disrupted many industries from the start of Industrialization era to the Industry 4.0 era. There has been an exponential growth in the technological front and people are talking about Industry 5.0. Digital transformation is a critical direction in which organizations will have to move toward in order to succeed in this competitive world. To make a smooth transition, firms must understand the basic building blocks of the digital transformation process and the key areas it touches upon namely customer experience, operational process and dynamic business models. Organizations will also have to identify the enablers of digital transformation which they can work on to smoothen the transformative process. Firms will also need the framework of digital transformation spelling out the roadmap for effective digital transformation. Firms on the urge to go for digital transformation will face numerous challenges in all the stages of implementation namely the initiation phase, the execution phase and the governance phase. A clear understanding of these challenges will help the firms to overcome or mitigate these challenges and be successful in their digital transformation process.