Risk management and safety
I.N. Shchepina, A.A. Borodina Typology of digital technologies’ diffusion (the example of EU countries, United Kingdom and Russia)
Production and infrastructure subsystems efficiency assessment
Information Technology
Mathematical models of socio-economic processes
Recognition of images
I.N. Shchepina, A.A. Borodina Typology of digital technologies’ diffusion (the example of EU countries, United Kingdom and Russia)
Abstract. 

The paper explores the features of the diffusion of digital technologies and reveals the typology of their distribution on the example of the EU countries, United Kingdom and Russia. The cluster analysis for this sample of countries has been conducted. Its’ results enabled to reveal three main groups of countries: the leaders in digital technologies diffusion (which are the countries with the high income per capita), the outsiders (these countries can be characterized with unsustainability in unevenness in digital technologies’ diffusion) and the countries, taking intermediate position between these two groups.

Key words: 

digital technologies, cluster analysis, innovations

PP. 22-33.

DOI: 10.14357/20790279210103
 
References

1. Swaminathan V., E. Lepkoswka-White and Rao  B.P. 1999. Browsers or buyers in cyberspace? An investigation of electronic factors influencingelectronic exchange. JCMC 5(2). Available at:
http://www.ascusc.org/jcmc/vol5/issue2/ (accessed April 28. 2011).
2. Griliches Z. (1957). Hybrid corn: an exploration in the economics of technological change. Econometrica. 25 (4). P. 501–522.
3. Mansfield E. (1961). Technical change and the rate of imitation. Econometrica. 29 (4). P. 741–766.
4. Gort M. and Klepper S. (1982). Time paths in the diffusion of product innovations. Economic Journal. 92 (367). P. 630–53.
5. Coleman James S., E. K. and Menzel H. (1966). Medical innovation: A diffusion study. Bobbs-Merrill Co.
6. Romeo A. (1975). Inter-industry and inter-firm differences in the rate of diffusion of an innovation. Review of Economics and Statistics. 57. P. 311–316.
7. Levin S., Levin S. and Meisel J. (1987). A dynamic analysis of the adoption of a new technology: the case of optical scanners. Review of Economics and Statistics. (69). P. 12–17.
8. Borodina A.A., Shchepina I.N. Osobennosti rasprostraneniya ICT-technologies v razvitykh i razvivauschichsya stranakh // Materialy Vserossiyskoi ubileinoi nauchno-prakticheskoi konpherentsii «Upravlenie innovatsionnoinvestitzionnoi deyatelnostyi». Voronezh. 2019. P. 40-45.
9. Shchepina I.N., Borodina A.A. Uneven distribution of ICT technologies in Asia and Russia // International conference on innovation driven economic growth in Asia focusing on India.– Goa University, Taleigao Plateau, Goa. 2019. P. 49–51.
10. Alexopoulos M. (2011). Read all about it!! what happens following a technology shock? American Economic Review. 101 (4). P. 1144–79.
11. Google trends. Available at : https://trends.google.ru/trends/?geo=RU (accessed: 18.01.2020).
12. Gartner reveals top predictions for IT organizations and users in 2017 and beyond, 2016. Available at: Accessed: https://www.gartner.com/newsroom/id/3482117 (accessed: 04.04.202020).
 
2024-74-1
2023-73-4
2023-73-3
2023-73-2

© ФИЦ ИУ РАН 2008-2018. Создание сайта "РосИнтернет технологии".