Competitiveness on the basis of innovation: The international position of Russia

Кравченко, Н. А.; Bobylev, George; Valieva, Olga; Fedorov, Alexander

doi:10.1134/s1075700713050080

Cited by 11 publications

(9 citation statements)

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“…In the second case, by innovating, the system is able to generate technology continuously and remains market competitive with this competitiveness generating added value that can then be reinvested in learning and R&D enabling continuous improvement and increasing competitiveness. The literature on competitiveness and entrepreneurship takes GDP per capita, job creation and wealth, as well as export activities, networking capacities and social values, as some of the indicators serving to measure social and economic development (Rocha, 2004; Hessels and Stel, 2009; Kravchenko et al , 2013; Farinha et al , 2014a, 2014b; Vendrell-Herrero and Wilson, 2017).…”

Section: Research Framework and Hypothesesmentioning

confidence: 99%

“…As noted in recent years, a growing number of empirical studies have presented empirical assessments of the competitiveness of national and regional economies (Ketels, 2006). The Global Competitiveness Report (GCR) by the World Economic Forum (WEF) represents an important outcome of internationally recognized prestige (Ketels, 2006; Bronisz et al , 2008; Kravchenko et al , 2013; Rosenbaum, 2011; Bergsteiner and Avery, 2012). The WEF has published the GCR annually since 1979.…”

Section: Introductionmentioning

confidence: 99%

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Linking innovation and entrepreneurship to economic growth

Farinha

Ferreira

2018

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Purpose The purpose of this paper is to study the linkage of innovation and entrepreneurship to economic growth in countries with different levels of development. Design/methodology/approach Following quantitative analysis, the authors carry out three empirical approaches to examine the effects of innovation and entrepreneurship on competitiveness. In accordance with their initial study framework, they test the conceptual model of competitiveness through applying descriptive statistics, structural equation modelling (SEM) and hierarchical cluster analysis. Descriptive statistics and SEM data sources from the Global Competitiveness Report of the World Economic Forum were analysed for 148 countries. The hierarchical cluster analysis furthermore analysed Global Entrepreneurship Monitor data on 67 different countries. Findings The study confirmed that innovation and sophistication factors are crucial to the competitiveness of economies. The study also revealed the definition of five clusters relative to the competitive performance of advanced economies following the introduction of new entrepreneurship variables. Originality/value This research aims to open up avenues for the development of regional competitiveness studies.

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Section: Research Framework and Hypothesesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linking innovation and entrepreneurship to economic growth

Farinha

Ferreira

2018

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“…Nowadays in Russia only a low level of innovation activity of enterprises can be reported [27]. The problem with this very low resulting indicator of implemented innovations in many respects can be explained with a shortage of qualified personnel, capable to realize innovative projects.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of innovative risks when choosing the innovative strategy at the enterprise

Chernogorskiy

Shvetsov

2017

SHS Web Conf.

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“…The ITU (International Telecommunication Union) has developed and introduced the ICT Development Index (IDI), a composite index that measures the accessibility of the internet and communication technology (Kravchenko, Bobylev, Valieva, & Fedorov, 2013). The annually measured index shows that nearly 50% of the world's population has internet access, but not all of them are active internet users.…”

Section: Previous Researchmentioning

confidence: 99%

Some Approaches to Evaluation Macroeconomic Efficiency of Digitalisation

Stremousova

Buchinskaia

2019

Business, Management and Education

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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.

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Competitiveness on the basis of innovation: The international position of Russia

Cited by 11 publications

References 0 publications

Linking innovation and entrepreneurship to economic growth

Linking innovation and entrepreneurship to economic growth

Evaluation of innovative risks when choosing the innovative strategy at the enterprise

Some Approaches to Evaluation Macroeconomic Efficiency of Digitalisation

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