Diversification of Educational Services in the Conditions of Industry 4.0 on the Basis of AI Training
The purpose of the paper is to determine the perspectives of diversification of educational services in the conditions of industry 4.0 on the basis of artificial intelligence (AI) training, determine the consequences of this process for academic and teaching staff and to develop recommendations for its practical implementation.
Hi-tech innovative alliances tend to have more key sustainable competitive advantages in comparison with those out of alliance, especially because alliances allow the companies to switch through the partners the financial burdens and intellectual investments in innovations. BRIC make an important input into Gross World Production and its hi-tech industries grow faster than others over developing countries. However companies of these industries still lack internal resources of innovative and technological facilities, e.g. Russian companies, because of that alliances (usually, international anв transnational) acquire more and more popularity. Alliances give the access towards resources and competences of the direct and indirect partners. The paper describes the empirical evidence of alliances efficiency factors and its influence on the high-tech companies of India and China. This evidence can be replicable to some extent and useful to the development of Russian companies. According to the testing results it is possible to assume, that efficiency of alliances has the significant impact on the corporate value in the mid-term. The crisis has significant impact on the observable dependencies.
According to the common definition of unemployment, the unemployed are those who are not in paid employment or self-employment, are seeking work and are available for work. А job search model is estimated from a sample of the unemployed and from some extended samples of the jobless, obtained by loosening that definition gradually. Revealed similarities and differences constitute the result of the research.
With an increasing number of companies applying smart manufacturing (Industry 4.0) technologies, and therefore gathering records from multiple enterprise data sources, a potential for big data analytics (BDA) is seemingly limitless. Still not every firm that implemented smart manufacturing reports gathering or making use of big data emerging from those processes, let alone extracting value from them. This study investigates business value creation mechanisms from BDA in smart manufacturing. Relying on several use cases and project stories described in publicly available sources, we analyze key drivers, applications, barriers, success factors, and business benefits of BDA in smart manufacturing. We summarize our findings in a comprehensive framework capturing first- and second- order effects of BDA implementation on Industry 4.0 processes. Our work aims at contributing to the body of knowledge on BDA and smart manufacturing, and at guiding practitioners in identifying and assessing various application scenarios for those technologies.
The article is devoted to the trends and determinants of the transformation of Russian regions' industrial specialization during the period of economic growth. Using the methodology of statistic and econometric analysis it is tested whether the tendency of diversification dominates the tendency of regions’ industrial specialization in 1997-2004 and whether there is a convergence of Russian regions' industrial structures. The considered factors of industries' development in a particular location include the initial industrial structure, inter- and intraregional technologic links between industries, quality of investment climate, R&D potential, international competition.
In spite of a growing body of literature investigating the determinants of youth unemployment, studies at sub-national level are still scarce, especially for Russian regions. This article is an innovative attempt to analyse econometrically the key factors affecting the youth unemployment rate and the ratio between youth and total unemployment rates for 75 Russian regions in 2000–09. The existing literature on regional labour market performance and dynamics suggested the use of a large set of explanatory variables (with indicators of the level of economic development, the demographic situation and migration processes, and the export–import levels) in a GMM panel data analysis, taking into account both spatial correlation and endogeneity problems. Although we were searching for structural determinants, we also investigated the effect of the 2008–09 financial crisis. The econometric results, presented and discussed using several models, have key policy implications for both national and regional levels of government.
In article teoretiko-methodological approach to research of readiness of the personnel of the Russian educational organization to the market (kliyentoriyentirovanny) relations with consumers of educational services is considered. Results of empirical research of understanding by the personnel of the key roles in the course of providing educational services are given. The compar-ative analysis of understanding of roles of participants of educational process is offered by teachers and students.
This paper empirically investigates the effects of vertical export diversification on economic growth in Russian regions. First, we explore differences in vertical export diversification across Russian regions and analyze whether the relationship between intra-industry vertical export diversification and economic growth takes place at the regional level in 2003-2009. Using OLS and GMM estimators and controlling for a quality differences when calculating productivity level of export goods, we show that initial specializing in low-quality goods (with implied low- productivity level) leads to higher subsequent economic growth. The possible explanation is that, regions with low-quality goods in their export basket are able to improve productivity in relatively shorter terms (comparing with the situation of export discovery) and as the result grow faster. However, as it was shown, these effects of initial specialization in low-quality products on faster economic growth do matter only for regions, which are far from technology frontier.
To help countries achieve their full industrialization potential and fulfil the sustainable development goals (SDGs) and thereby improve their general welfare, UNIDO is promoting the concept of comprehensive and sustainable industrial development (ISID), which was established in the Lima Declaration adopted by UNIDO Member States on 2 December 2013. The UN General Assembly recognizes the significance of ISID as an important strategic direction for fostering global development in the future. ISID is a key instrument for achieving sustainable economic growth, the creation of quality jobs, the building of equal societies, the protection of the environment, and the active shaping of comprehensive sustainable globalization. The promotion of ISID as the key driver for successful integration of economic, social and environmental factors necessary to achieve full implementation of sustainable development by creating and improving countries’ industrial potential is the main priority of UNIDO’s current activities. To successfully implement ISID, UNIDO acts as a global forum for industrial development and the establishment of relevant international standards, including standards on industrial statistics [UNIDO, 2014; 2013a]. Accordingly, UNIDO has been implementing the regional project “Improvement of industrial statistics and development of statistical indicators for the analysis of industrial development in the CIS countries” since 2013. The project’s main objective is to provide methodological assistance to the Commonwealth of Independent States’ (CIS) national statistical services in implementing international standards on industrial statistics in the statistical practice and presentation of modern, internationally comparable information for a qualitative and reliable reflection of industrial development processes. This report presents the results of the statistical analysis describing the availability, quality and measurement capabilities of official statistics in the CIS countries accumulated over the period 2005-2014.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.