scholarly journals PROBLEM OF CLASSIFYING DIGITAL ECONOMY

2020 ◽  
Vol 4 (34) ◽  
pp. 40-44
Author(s):  
S.G. Marichev ◽  
Keyword(s):  
Economic Growth ◽  
Economic Activity ◽  
Digital Technologies ◽  
Digital Economy ◽  
Economic Sectors ◽  
Digital Products ◽  
Economic Agents ◽  
Diffusion Of Knowledge ◽  
Accurate Definition ◽  
Science Intensity

The paper performs the results of analysis due to the problem of categorization and classification of digital economy in order to assess its contribution to economic growth. The evolution of approaches to understanding the concept of digital economy is noted – evolution from Internet economy to perception of digital technologies as a factor in any economic activity. We analyzed one of the models categorizing digital economy, based on assessing the need for the use of digital technologies (it includes three categories – the ICT sector, the digital economy itself, the digitalized economy), and also indicated the shortcomings of the concept, in particular, impossibility to reliably determine the critical need of using digital technologies for different types of economic activity, thus they fall into related categories according to the classification. In addition, the paper analyzes the possibility of classifying the digital economy as a knowledge economy for further more accurate definition and categorization of "digital economy" concept. Based on the results of the analysis, key features of digital economy were identified for the further development of updated concept of digital economy and possibility of optimal categorization during further research. These features include science intensity, which is, among other things, cause existing difficulties in categorizing economic sectors and attributing them to the digital sector due to the diffusion of knowledge (and specifically digital technologies as the final result of knowledge accumulation), as well as their extensive penetration into most economic processes. As a result, it is necessary to develop a toolkit that can quantify the value of science intensity (manufacturability) of a particular sector of the economy in order to most accurately categorize and assess the contribution of the digital economy to economic growth. The second key feature of the digital economy is the reduction of transaction costs of interaction between economic agents (based on the concept of horizontal, vertical and diagonal costs by J. Commons) as a result of using digital products.

scholarly journals DIGITAL TRANSFORMATION OF THE RUSSIAN ECONOMY AND ALIGNMENT OF ECONOMIC INTERESTS

2021 ◽  
Vol 230 (4) ◽  
pp. 410-416
Author(s):  
N.V. RASSKAZOVA ◽  
Keyword(s):  
Economic Growth ◽  
Transaction Costs ◽  
Digital Technologies ◽  
Digital Economy ◽  
Digital Transformation ◽  
Production Costs ◽  
Economic Interests ◽  
Digital Platforms ◽  
Russian Economy ◽  
Reproduction Process

The problems of the digital economy development are central, since the introduction of digital technologies in the reproduction process provides for increased efficiency and reduced production costs. This fact encourages the development of digital platforms and mechanisms that allow to accelerate the process of interaction between different actors and reduce the transaction costs of coordinating economic interests at the micro and macro levels, which will eventually lead to economic growth. In this regard, the problem of digitalization of the Russian economy and its branches is relevant.

scholarly journals Digital Economy: Investing in Digital Learning Technologies

2019 ◽  
Vol 9 (1) ◽  
pp. 6570-6576
Keyword(s):  
Economic Growth ◽  
Vocational Training ◽  
Information Technologies ◽  
Digital Technologies ◽  
Digital Economy ◽  
Learning Technologies ◽  
Digital Learning ◽  
Key Factors ◽  
Foreign Experience ◽  
Digital Training

The current economic terms and conditions stimulate investments in digital transformations. Digital technologies act as drivers, including for education and vocational training. The companies that invest in information technologies for education and HR training realize that investments in HR and the development of skills in education and vocational training are recognized as key factors of the economic growth. This article aims at analyzing the peculiarities of investing in digital learning technologies in the context of the digital economy. In the article the relevance of investing in HR has been substantiated, and the foreign experience of stimulating investments in digital learning technologies has been analyzed. Based on the expert survey, the possibilities of HR digital training have been analyzed, and the peculiarities of various forms of digital training have been defined.

National Systems of Innovation

2020 ◽  
Author(s):  
Erik E. Lehmann ◽  
Julian Schenkenhofer
Keyword(s):  
Economic Growth ◽  
Knowledge Creation ◽  
Systems Of Innovation ◽  
Public And Private ◽  
Economic Agents ◽  
Diffusion Of Knowledge ◽  
Incentive Structures ◽  
National Systems Of Innovation ◽  
The Individual ◽  
National Systems

The pursuit of economic growth stands out as one of the main imperatives within modern economies. Nevertheless, economies differ considerably in their competitiveness. Theories on the endogeneity of growth agree on the value of knowledge creation and innovativeness to determine a country’s capability to achieve a sustained performance and to adapt to the dynamics of changing environments and faster information flows. To this effect, national institutional regimes shape nation-specific contexts and embed individuals and firms. The resulting incentive structures shape the attitudes and behavior of individuals and firms alike, whose interactions contribute to the accumulation and flow of knowledge among the nodes of their networks. National systems of innovation (NSIs) therefore embody a concept that aims to analyze the national innovation performance of economies. It rests its rationale in the variation of national institutions that shape the diffusion of technologies through the process of shared knowledge creation and the development of learning routines. Both public and private institutions are thought to interact in a given nation-specific institutional context that essentially affects incentive schemes and resource allocation of the involved economic agents in creating, sharing, distributing, absorbing, and commercializing knowledge. To this effect, public policy plays a key role in the NSI through building bridges between these actors, reducing information asymmetries, and providing them with resources from others within the system. The different actors contributing to the creation and diffusion of knowledge within the system are needed to exchange information and provide the engine for sustained economic growth. Universities, research institutes, companies and the individual entrepreneur are in charge of shaping their economic system in a way that resource and skill complementarities are exploited to the mutual benefit.

scholarly journals Ensuring Economic Growth through the Development of Digital Technologies in Uzbekistan

2021 ◽  
Vol 1 (1) ◽  
pp. 77-81
Author(s):  
Mirzakarimova Muyassar Muminovna ◽  
Narmanov Ulugbek Abdugapparovich
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
World Wide ◽  
Digital Technologies ◽  
Digital Economy ◽  
Gradual Transition ◽  
Economic Significance ◽  
Global Pandemic ◽  
Socio Economic Development

Development of the digital economy in the period of the global pandemic is one of the issues of strategic importance for Uzbekistan, like other countries, which determines its world-wide competitiveness, and through this, it shows that it is necessary to address the issues of socio-economic development of the country. The gradual transition to a digital economy in Uzbekistan will help solve many economic and promising problems and ensure economic growth. A number of issues and challenges have been addressed in terms of ensuring economic growth through the development of the digital economy and its economic significance.

scholarly journals Revisiting the Nexus between Digital Economy and Economic Prosperity: Evidence from a Comparative Analysis

2021 ◽  
Vol 9 (2) ◽  
pp. 69-90
Author(s):  
Nidhal Mgadmi ◽  
Wajdi Moussa ◽  
Azza Béjaoui ◽  
Tarek Sadraoui ◽  
Afef Guachaoui
Keyword(s):  
Economic Growth ◽  
Information And Communication Technologies ◽  
Digital Technologies ◽  
Communication Technologies ◽  
Digital Economy ◽  
Economic Prosperity ◽  
Information And Communication ◽  
Short And Long Term ◽  
New Institutions

In this paper, we try to investigate the contribution of digitalization on economic growth in both developed and developing countries over the period 1990-2020. For this end, different econometric tools are applied on a panel dataset. Overall, we show that the digital technologies seem to significantly and positively affect economic growth in both groups of countries. The digitalization impact level tends to differ across countries. Our empirical results also display that the short- and long-term relationship between information and communication technologies and economic growth is well documented. Such results can be useful for policymakers to enhance the digital economy and provide novel channels to develop adequate policies and promote new institutions. So, benefits from digitalization can lead to realize substantial economic growth.

The Digital Economy оf Russia: Current State аnd Prospects оf Development

2017 ◽  
Vol 33 (4) ◽  
pp. 32-38 ◽  
Author(s):  
M. A. Izmailova
Keyword(s):  
Economic Growth ◽  
Digital Technologies ◽  
Digital Economy ◽  
Current Status ◽  
Economic Activities ◽  
Digital Revolution ◽  
Russian Economy ◽  
Current State ◽  
The World

The article analyzes the current status of the digital economy of Russia in comparison with the world leaders in digital revolution. Describes the main sources of economic growth of the Russian economy on the basis of digitalization. The role and prospects of use of digital technologies in various spheres of socio-economic activities.

Influence of digital economy factors on the development of human capital in the regions of Russia

2021 ◽  
pp. 37-45
Author(s):  
М.В. Власов ◽  
Я.В. Качан
Keyword(s):  
Human Capital ◽  
Digital Technologies ◽  
Theoretical Aspect ◽  
Practical Aspect ◽  
Digital Economy ◽  
Economic Systems ◽  
Main Method ◽  
Economic Agents ◽  
Correlation Factors ◽  
Regions Of Russia

Цифровая экономика быстро растет и развивается, особенно в России. Тем не менее, основные измерительные показатели могут расходиться в отношении других сфер, в особенности по отношению к человеческому капиталу. Целью данной статьи является оценка влияния цифровых технологий на человеческий капитал, выявление корреляционных зависимостей между факторами цифровой экономики и человеческого капитала, и описание факторов, которые оказывают наибольшее влияние на развитие человеческого капитала в различных регионах Российской Федерации. В качестве объектов анализа в ходе исследования были взяты 8 федеральных округов Российской Федерации для оценки влияния цифровых технологий на человеческий капитал путем формирования корреляционных взаимосвязей различных факторов. В качестве метода исследования применяется количественный анализ. Источником данных является база данных Федеральной службы государственной статистики. В результате проведенного исследования авторы доказали, что факторы цифровой экономики оказывают значительное влияние и способствуют развитию человеческого капитала; были выявлены факторы, которые оказывают наибольшее и наименьшее влияние и из полученных данных были выявлены регионы, где наблюдается наибольшая взаимосвязь цифровой экономики и человеческого капитала. Практический аспект данного исследования дает возможность использовать полученные результаты при внедрении цифровых технологий для повышения уровня человеческого капитала экономических агентов на всех уровнях хозяйствования. Теоретическая значимость проведенного исследования заключается в идентификации факторов цифровой экономики, оказывающих влияние на увеличение качества человеческого капитала в регионах, что может выступить основанием для поведения последующих исследований влияния цифровизации региональных социально-экономических систем на развитие человеческого капитала. The digital economy is growing and developing rapidly, especially in Russia. Nevertheless, the main scales numbers could be different in relationship to the others spheres including human capital. The major aim of this study is to estimate how digital technologies can affect human capital, glean out the correlation dependences of factors between digital economy and human capital and factors that affect the most of human capital in the different regions of Russia. During the going of this research were taken 8 federal areas of Russia and analyzed the effect of digital technologies that belong to the digital economy on human capital in the way of forming different correlation factors. The main method of research was chosen the quantitative analyze. The source of data was base of data of Federal Statistics Service. After completing the research the authors demonstrated and prove the following: there are the factors of digitalized economy that strongly influencing the level of growth of human capital and there are factors that don’t do it, and taking this factors into account authors of this research took all the regions and highlighted and put them in different categories them basing on that what impact they give at their best and their lowest. The practical aspect of this research makes it possible to use the results obtained when introducing digital technologies to increase the level of human capital of economic agents at all levels of management in the country resources. The theoretical aspect of this research is in the recognition of social and economic systems of regions, which on their level impact the growth of human capital.

scholarly journals BIG DATA AS AN ECONOMIC PHENOMENON: THEORETICAL AND METHODOLOGICAL SUMMARY

2021 ◽  
pp. 132-139
Author(s):  
M. Stashevskaya
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Economic Activity ◽  
Large Scale ◽  
Digital Technologies ◽  
Digital Economy ◽  
Descriptive Model ◽  
Back Ground ◽  
Definition Of

The article contains a study of existing views on the economic content of big data. From among the views, within which the authors define big data, the descriptive-model, utility-digital and complex-technological approaches are formulated. Against the back- ground of the large-scale spread of digital technologies (machine learning, cloud computing, artificial intelligence, augmented and virtual reality, etc.), functioning thanks to big data, the study of their economic essence is becoming especially relevant. As a result, it was found that the basis of economic activity in the digital economy is big data. The definition of big data as a resource of the digital economy is proposed.

scholarly journals Regional aspects of studying the digital economy in the system of economic growth drivers

2020 ◽  
Vol 21 (2) ◽  
pp. 76-93
Author(s):  
Elena Strogonova ◽  
Natalya Novikova
Keyword(s):  
Economic Growth ◽  
Research University ◽  
Regional Economy ◽  
Digital Technologies ◽  
Digital Economy ◽  
Composite Indicator ◽  
Distinctive Features ◽  
Economic Development And Growth ◽  
The Russian Federation ◽  
Methodological Aspects

Scientific thought is constantly looking for new sources and drivers of economic development and growth. In this regard, the digital economy becomes a buzzword as a major endogenous factor stimulating economic activity of a country and its regions. Therefore, its emergence, development, and measurement become high on the agenda. The paper summarises theoretical and methodological aspects of the study of the digital economy as the major driver boosting the regional economy. The methodological basis of the research rests on the contributions by Bukht and Heeks, the English scholars of the Global Development Institute, who introduced a three-scope approach to understanding the digital economy. The research team also draws on the method to compute the business digitalisation index developed by the Russian scholars of the National Research University Higher School of Economics. As a result of the research the authors propose their method for calculating the composite indicator of the regional economy digitalisation and test it on the Ural macroregion. The method uses a set of 12 specific indicators which shows how deep the digital economy and digital technologies have spread into the region. The study revealed the following distinctive features of the digital economy developing in the subjects of the Russian Federation constituting the Ural macroregion: significant differentiation of the digitalisation levels across the subjects; finished primary stage of the digitalisation process; dissimilar potential for the digital economy development among the subjects; correlation between the level of the regional economy digitalisation and economic growth.

scholarly journals The Strategy of Universities in Creating Students as Entrepreneurs Amid the COVID-19 Pandemic

2021 ◽  
pp. 121-129
Author(s):  
Lalita Vistari ◽  
Sabar Sukarno ◽  
Jatayu Jiwanda DL ◽  
Franky Okto Bernando ◽  
Nico Pranata Mulya
Keyword(s):  
Economic Growth ◽  
Economic Activity ◽  
Tertiary Education ◽  
Economic Sector ◽  
Research Subjects ◽  
Economic Sectors ◽  
Public Consumption ◽  
New Business ◽  
The Government ◽  
Entrepreneurial Activities

As a result of COVID-19, the world is experiencing shocks and the risk of increasing uncertainty affecting various sectors, like the health, social and economic sectors. In the economic sector, economic activity has decreased. Numerous companies have laid off their employees because their businesses could not survive, and there is decreased business productivity, which has resulted in reduced public consumption and reduced economic growth. In a situation like this, humans are required to be able to adapt to existing conditions, by innovating to create new business fields or trying to become entrepreneurs to encourage economic growth. The economic activity amid the pandemic’s challenges has been initiated by the government in order for the Indonesian economy to revive, and universities in Jakarta, Tangerang, and Bekasi ( Jabeka) are trying to create new entrepreneurs in the economic sector. The purpose of this research was to describe the strategy of universities in creating students as entrepreneurs amid the COVID-19 pandemic. The research subjects were the program managers and the entrepreneurs’ lecturers. Descriptive qualitative methods were used, with Miles and Huberman data. Based on the results of the research, it can be concluded that universities prepared students very well in terms of the curriculum, teaching, entrepreneurial activities, and soft skills that students must have before graduating from tertiary education, such as requiring students to carry out entrepreneurship activities while being students. Keywords: strategy, universities, entrepreneurs.

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