Modeling and forecasting the influence of social infrastructure development of interregional migration in Russia

At present demographic development of Russia and its regions is one of the most important factors of the country’s economic growth and also is key priority of the state government system. In spite of that, the issues of interregional migration are poorly represented in the strategic planning documents both at the federal and regional level. The major migration-induced population growth can be observed in the federal cities, capital areas and central part of Russia. At the same time in 2019 there was migration loss in 47 subjects of the Russian Federation. In many regions it is combined with the natural population loss aggravating the situation. The emerging closed loop (decreasing attractiveness of the area – migration loss – deteriorating social and economic situation – decreasing attractiveness of the area) results in increasing contradictions. Variety of factors determining the direction and the dynamics of migration flows requires a comprehensive study of these processes. The analysis conducted revealed that the level of development of the territory’s infrastructure is of great significance in this matter. Therefore, this direction is considered to be the main one. For quantification the authors established a complex of individual indicators which were preprocessed and consistently merged into directional integral and later into a single integral indicator of the level of social infrastructure development. Moreover, it is advisable to define five groups of regions according to the degree of their potential’s realization and to consider the affiliation of the subject of the federation to a particular group as an additional factor. Thus, the authors obtained the regression equation which describes the interrelation between the parameters under study. ANOVA revealed the opportunity of its practical application. Based on this model, a scenario forecast for the development of social infrastructure in Russia and its regions has been formed.

Material incentives for innovative activity of enterprise personnel based on key productivity indicators of innovation

Development and implementation of innovation is one of the means of providing competitive advantages for a business in a market economy. Innovative activity of a company ought to be expedient from the economic viewpoint and result in reduction of costs and maximizing the profitability of the company’s activity in the long-term perspective. One of essential factors of economic effectiveness of innovation is innovation-active personnel able to generate ideas and quickly adapt to changes, willing and motivated to participate in implementing innovation strategy of the company’s development. Not all employees a priori possess such features, and therefore the company ought to develop and take measures to facilitate their innovative activity. The article introduces the method of material incentives for innovative activity of the personnel suggested by the authors. The method is based on adapting a well-known system of key productivity indicators to innovative activity of a company. Personnel of the company is divided into three categories of employees according to their roles in realization of the organization’s innovative policy, and the authors defined a set of four or five key productivity indicators of their activity for each category. The authors defined a range of quantitative interpretation of the achievable result for each indicator. They suggested a mechanism for calculating the total amount of the incentive bonus which takes into account key performance indicators coefficients of innovative productivity and their value, the size of the bonus wage fund for the employee, the employee’s affiliation to one of the personnel categories established, the number of rewarded employees and the frequency of premium payments. Implementation of the suggested mechanism will ensure objective assessment and reward for the contributions made by all the interested employees into innovative development of the company increasing effectiveness of the production.

Conceptual framework for application of modern financial technologies in the Russian industry

This article presents the author’s position on the use of modern financial technologies (FinTech) in the practice of managing domestic industrial companies. In particular, the use of modern financial technologies is possible in the current (operational) financial and economic activities of companies, as well as in their investment and financial activities. The authors considered the key aspects of the development of financial technologies, while identifying five waves of active development of FinTech in Russia. The authors set out the results of a comprehensive analysis of the mechanisms of functioning of FinTech in the modern economic conditions of domestic industrial companies using the example of e-commerce. The features of existing e-commerce systems are considered: B2B, B2G, B2C and C2C. An overview of the possibilities of using various instruments of financial technologies in various types of activities of Russian industrial companies is given. Based on the analysis of actual data from 156 largest industrial companies in Russia (out of 17 industries) included in the Expert-400 rating of the country’s four hundred largest companies, the directions of the formation of modern financial relations, including the supply of goods and services based on the digitalization of management processes using modern tools: e-commerce, including blockchain platforms, as well as Big Data, mobile applications for employees or clients, machine learning. It is shown that practically all the largest industrial companies in Russia – the leaders of their industries – are actively introducing and using all modern financial technologies in their activities. The directions of transformation of business processes of industrial companies in Russia are investigated within the framework of the concept of sustainable development of their business in terms of using a variety of FinTech tools and digitalization. Prospects for the use of modern financial technology tools in industrial production in the first half of the XXI century are considered

Strategic perspectives of the oil and gas sector industrial development

The authors study oil and gas industry, its condition and perspective trends of industrial development. One of them involves applying low carbon and low cost technologies. The authors introduce new strategic imperatives in oil and gas sector to perform energy transition. They study the types of categories of perspective trends of the industry’s development: scaling up the development and implementation of a carbon capture and storage system, using low carbon raw materials, making it possible to take granular measurements. The article deals with perspectives of the oil and gas industry for the current year. The perspectives are built with the consideration of the previous year’s indicators and include all the past disasters and the dynamics of their solution and the results for the society. The authors show wider implementation of drones used for abnormal emissions of hydrogen sulfide to carry out distant monitoring, observations, inspections and preventive maintenance, change tracking, methane management, emergency response and material processing. The article describes precision drilling which reduces the risk of accidents, oil spills, fires and increases rate of penetration. The authors present microwave hydraulic fracturing which can become the next significant achievement in the perspective development of the industry.

Managing technological potential process as the factor of sustainable development of industrial enterprises

In the modern economics of industrial production the fundamental trend is the technological potential connected with the period of transition to innovative high technology industrial production. It is an important factor influencing the perspective indicators of development of economics and the entire industrial complex. Management of industrial enterprises requires establishing new approaches to the use of technological potential and its management. For this purpose, the works of scientists in the subject area of the technological potential of industrial enterprises have been studied. The authors consider theoretical approaches to studying technological potential and sustainable development of industrial enterprises. They systematized methodological approaches to studying the concept of ‘technological potential’ and structured the factors influencing it. The fundamental factors include social, international factors, state of economy, economic policy, market factors, factors of governmental influence and institutional factors. To assess the technological potential of an enterprise, a system of KPI is used, which allows taking into account the limitations and desirable levels for a whole range of particular parameters of indicators, indicators, both quantitative and qualitative.

Modern trends and problems of the global intellectual property market development

It is shown that active processes of digitalization and development of creative industries form new trends of the world economy development. Possession of the right to use IP, in particular the results of the latest scientific research and technological developments (especially in the field of artificial intelligence, the Internet of things, blockchain, processing large databases, quantum computing systems, cloud technologies, etc.) significantly expands the capabilities of the owner of IP rights in world economy, its participation in global value chains. Intellectual property is becoming not only the main instrument of socio-economic development, but also the center of global technological confrontation and a fierce struggle for the right to own it, a significant factor of success in geoeconomic competition. The main long-term trend in the development of world IP markets is the dynamic growth of the volume of commercial transactions with goods and services containing IP objects with a significant expansion of the range of the latter. The IP market is growing at a rate exceeding the rate of growth of “material” markets. The countryleader in the number of valid patents for a long period is the United States. The main competitor for the United States is China. Among the main technological trends, the development of the IP market in terms of assistive technologies should be highlighted, which allow producing products according to digital description anywhere in the world. A large share of the IP markets is occupied by trade in licenses. It is shown that for the further successful and effective development of IP markets, it is necessary to take into account the prospects for the functioning of IP markets and the movement of goods containing IP objects in a new technological order.

Prospects for the transition of the textile industry in the Russian to a closed-loop economy

The life of a modern person today cannot be imagined free from an urgent and urgent problem – the problem of waste recycling. At the same time, the environmental situation in large cities, including industrial enterprises, is mainly determined by the state of the waste treatment system. These include solid municipal waste, as experts call the garbage that is formed daily in everyday life and makes a long way from the garbage chute to the yard container and further to the city dump.At the moment, the infrastructure for collecting and processing secondary raw materials (glass, plastic, paper, batteries, etc.) is developing on the territory of many CIS countries, including Russia, while there are no reception points for textile waste of production and consumption in sufficient quantities, unlike in European countries. There are retail outlets that accept unnecessary textiles from the population, and in return provide discounts on their products. However, taking into account the volume of textile waste generation (about 4.2–4.8 million tons per year), the existing textile waste collection system, which collects only about 0.4% of textile waste, is clearly insufficient. Based on the identified problems, the authors of this article give a socio-ecological and economic assessment of the problem of handling textile waste of consumption in Russia. The analysis of the relationship of the problems of textile waste management to the UN Sustainable Development Goals is carried out. The international experience of applying the principles of the closed-cycle economy in relation to textile waste is considered and recommendations for the transition of the Russian textile industry to a closed-cycle economy are formed.

Strategic development of scientific and technical potential of industry during the digital transformation of economy

Currently the speeding up of digital transformation makes it obvious that application of digital technologies and the degree of involvement into digital transformation is an essential and significant aspect of scientific and technical potential of an industrial enterprise. The article is devoted to the analysis of trends and prospects of development of basic technologies which are the basis for digital transformation of the world economics: the Internet of things, artificial intelligence, robotization and technologies of the big data processing. The authors present the assessment of the current state of digitalization for Russian industrial enterprises by analyzing the data on the implementation of the above mentioned technologies in business-process.

Industry 5.0: concept, formation and development

At present in Europe and Russia there are active discussions of the next mega stage of human social and economic development. It concerns the Industry 5.0 concept. In 2020–2021 members of scientific research and technological organizations discussed the aspects of Industry 5.0 at a number of well-known European and Russian forums. Major attention was paid to technologies maintaining Industry 5.0. As a result the world scientific community reached a consensus on two fronts: firstly, on integration of opportunities of the existing technologies of Industry 4.0 with the human-oriented approach of Industry 5.0 which will give way to harmonious interaction of human intelligence with cognitive calculations; and, secondly, on integration of human and machine intelligence to create collective intelligence which will make it possible to avoid technological singularity in future as well as provide for simultaneous humans’ evolution and technologies’ development. These will become the basis for creating a fundamentally new social, economic and cultural strategy of the society’s development for the coming decades. The strategy is based on applying collective intelligence and meta-system technologies in all spheres of life. For the first time in the world scientific practice the authors introduce the concept of Industry 5.0 as a cyber social system which allows the alliance of human and artificial intelligence aimed at creating collective super intelligence and becomes a source of harmonious technological development of human civilization. The authors present a neuro-ecosystem model of Industry 5.0 concept which will make it possible to set the task of implementing the systems of global meta-system strategized development of cognitive production and industry. Such systems are established as part of organization of cognitive production and new types of social and economic, cyber-social and industrial ecosystems by means of implementing collective intelligence and neuro-digital meta-technologies. This is the first stage of a new evolution process of developing Industry 4.0 concept, transition to Industry 5.0 and to meta-system transformations economics.

Digital transition of industrial enterprises into the “smart” ecosystem

Digital transformation is the foundation for the development of industrial enterprises and inevitably leads to interconnected changes in products, services, strategies, business processes and relations between enterprises and market segments. Smart production cannot develop effectively in the form of isolated projects since development is required in the context of market sectors. So industrial enterprises expand their ecosystems, and thanks to coordinated innovations, the active introduction and dissemination of their digital transformation processes begins. In the context of digitalization, the “smart” ecosystem is becoming a global and growing multisectoral environment not only for industrial enterprises, but also for all market participants – suppliers, partners, public organizations, customers, etc. These associations contribute to faster adoption of innovative technologies, connecting resources for maximum results, flexible response to sharp changes in the market, which, in the context of digital transformation, require enterprises to achieve comprehensive results. The purpose of this study is to identify and identify the features of the digital transition of industrial enterprises to the smart ecosystem. The author determined what conditions contribute to the emergence of fundamentally new ecosystems of industrial enterprises that initiate the active development of innovative technologies and products, as well as the emergence of new opportunities for expanding the sphere of activity. An analysis of the stages of creating an effective “smart” ecosystem of industrial enterprises was carried out, and the characteristics of each of them were identified. It is noted that this smart ecosystem development plan will allow industrial enterprises to make more effective preparations for active external cooperation even in limited industry conditions. The study identifies six key factors, which include: synchronization of the life cycles of the enterprise; providing intelligent software and network connectivity for traditional industrial products; use analytics to take stock of production activities and make decisions based on data from a variety of sources, including products connected to the network; in-house production should be flexible; the transition to a smart ecosystem should start with an all-as-a-service business model; creating and managing smart ecosystems. These factors affect the successful and efficient functioning of the smart ecosystem of industrial enterprises in modern conditions, which will subsequently allow the provision of personalized, contextual, innovative services that generate regular revenues.