• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Of all publications in the section: 208
Sort:
by name
by year
Article
Храмова Е. Б., Ратай Т. В. Форсайт. 2008. № 2 (6). С. 46-47.
Added: Feb 4, 2010
Article
Сагиева Г. С. Форсайт. 2009. № 3 (11).
Added: Feb 5, 2010
Article
Ковалева Г. Г. Форсайт. 2010. № 3.
Added: Jan 27, 2011
Article
Чепуренко А. Ю. Форсайт. 2017. Т. 11. № 3. С. 6-9.

Introductory paper to the special issue "Innovation Entrepreneurship in Transition Economies"

Added: Oct 12, 2017
Article
Стребков Д. О. Форсайт. 2010. Т. 4. № 2. С. 26-33.
Added: Jun 29, 2012
Article
Дорошенко М. Е. Форсайт. 2011. Т. 5. № 4. С. 50-65.
Added: Jun 28, 2012
Article
Дорошенко М. Е. Форсайт. 2007. № 2 (2). С. 37-45.
Added: Dec 24, 2008
Article
Плаксин С. М., Абдрахманова Г. И., Ковалева Г. Г. Форсайт. 2017. Т. 11. № 1. С. 55-65.
The rapid development of digital technologies is changing production processes and forms of interaction. It has encouraged growing interest in electronic content and created a new segment of the economy where all actors rely on the internet. These processes are most noticeable in developed countries. Russia is no exception. The development of the domestic segment of the internet economy — the economy of the Runet — is of particular importance due to the size of the country, the significant socioeconomic heterogeneity and underdevelopment of the transportation networks in the Russian regions. A study of the phenomenon of the internet economy requires a reliable information base. It is hard to provide an adequate quantitative estimate of the size of the Internet economy for the following reasons. First, the existing statistical indicator system was created before the Internet and Internet businesses were widespread. Secondly, this new segment of economy is much more heterogeneous than traditional sectors and industries and thus difficult to measure. This paper summarises the results of a review of international and Russian approaches on how to measure the Internet economy. It also introduces a new way to measure the size of Russia’s Internet economy that is based on the principles of the System of National Accounts (SNA), using officially available statistical data, thus making this approach different from the previous recommendations. This new approach ensures a stable reproducibility of calculations, reliability and comparability of results as well as compliance with the standards of government statistics. The evaluation of the dynamics of economic processes that drive the Internet economy was not in the scope of the study. This requires a separate study, including an analysis of how indices of constant quality that neutralize the effect of changes in consumer product properties and deflators are created. The authors stipulate that these research areas hold independent interest.
Added: Apr 5, 2017
Article
Бойкова М. В. Форсайт. 2007. № 3. С. 66-75.
Added: Feb 3, 2010
Article
Абашкин В. Л., Бояров А. Д., Куценко Е. С. Форсайт. 2012. Т. 6. № 3. С. 16-27.
Added: Nov 16, 2012
Article
Шматко Н. А., Лавриненко А. С. Форсайт. 2019. Т. 13. № 2. С. 42-51.

This paper analyzes the impact of disruptive technologies, such as artificial intelligence (AI), big data, the internet of things, and blockchain, upon conventional banking professions and skill sets. Our conclusions are based upon a large array of data collected over the course of a survey of highly qualified personnel conducted in 2017-2018 using text mining, case studies, and expert interviews. The changing requirements for workers and their competencies were assessed taking into account the level of technological development (including the use of relevant products and services by Russian and international companies) as well as the probability of certain professional skills being substituted by automated solutions in the medium term. The results indicate that the impact of technologies upon various functional segments of banks’ operations is varied. While most of the analyzed professions are evolving towards broader functionality, others are sliding into the “obsolete” group. In the next few years, automated systems will take full responsibility for data collection and its initial analysis, though they will not replace bank personnel fully given that they simply remain tools that help boost workers’ productivity and efficiency, extend the information base, accelerate decision-making, cut costs, and reduce risks.

Added: Jul 10, 2019
Article
Чепуренко А. Ю., Калита А. А. Форсайт. 2020. Т. 14. № 2. С. 36-50.

In the paper, there is the relationship between internal competitiveness factors and the perception of Russian SMEs’ level of competitiveness pressures examined, based on a secondary analysis of the RuFIGE (Russian Enterprises in global economy) survey data obtained in 2014 by 1,677 Russian industrial small and medium-sized enterprises (SMEs). It comes out that neither the high technological level, nor the introduction of the CRM system, nor the availability of external financing are sufficient for Russian manufacturing SMEs to feel competitive on the global market. From the other side, those manufacturing SMEs whose main competitors are domestic enterprises, do count neither the technological level nor the presence of a CRM system to be necessary factors of competitiveness. Further, there are different «weight categories» among Russian manufacturing SMEs. SME owners, who work only in local markets, are immune to competition from large foreign companies and consider Russian firms similar to their own as main competitors. Those who work on the whole Russian market feel a high competitive pressure from foreign manufacturers.

Added: Jun 15, 2020
Article
Бойкова М. В., Салазкин М. Г. Форсайт. 2007. № 4. С. 52-63.
Added: Dec 24, 2008