Abstract
Purpose – the purpose of the article is to study the effect of digitalisation development indicators on per-capita GDP growth. Research methodology – the basic research method is the fixed-effects panel regression that describes the effect of the digitalisation development indicators on per-capita GDP between 1999 and 2017. Findings – research showed the most critical factors for per-capita GDP growth are the ones that linked with fixed and mobile subscriptions. Research limitations – The limitations of the research stem from the limitations of analysis as the method that has been employed makes it possible to measure the effect of the selected variables on per-capita GDP, but further research requires a detailed analysis of the factors being studied in application to each country. Practical implications – The findings can be used as a basis for choosing areas of more detailed factor analysis of the digitalisation process effectiveness and can support investment decision-making. Originality/Value – The study enables one to identify the most and the least important factors that are reflected by digitalisation indicators that have an impact on the per-capita GDP.
Highlights
The civilised world is entering a new phase of development that is focused on the consumption of products of the fourth industrial revolution: nanotechnology, biomedicine, information technology and cognitive science
This study aims to investigate the effect of indicators defining the level of the development of digital technologies on per-capita gross domestic product (GDP) growth as an integral macroeconomic indicator of the development of a national economy adjusted for population size
We examine the impact of digitalisation factors on the national economic development indicator with consideration for demography
Summary
The civilised world is entering a new phase of development that is focused on the consumption of products of the fourth industrial revolution: nanotechnology, biomedicine, information technology and cognitive science. Management and Education, 2019, 17(2): 232–247 technologies that form the basis for information and cognitive technologies which drive the overhaul of industrial production and services. Over the past few years, digitalisation as a category and a process has been researched in various areas of science, the different criteria assigned to the concept. Placing digitalisation in the socio-economic context, many scholars agree that the process will be accompanied by a transformation of the economic model (Negroponte, 1995; Tapscott, 2014)
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