THE RELATIONSHIP ASSESSMENT BETWEEN HUMAN RESOURCES AND INNOVATION PERFORMANCE IN EU COUNTRIES

The scientific study aims to explore the impact of human capital quality on the final score of the Summary Innovation Index (SII) and to identify differences in the values of some indicators within die Human Resources (HR) dimension in EU countries. We use Pearson's and Spearman's correlat...

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Bibliographic Details
Published inEconomics & sociology Vol. 16; no. 4; pp. 191 - 206
Main Authors Masárová, Jana, Ivanová, Eva
Format Journal Article
LanguageEnglish
Published Ternopil Centre of Sociological Research (NGO) 01.10.2023
Subjects
Comparative analysis
Creativity
Digitization
Economic development
Economic growth
Entrepreneurs
Entrepreneurship
Human capital
Human resources
Innovations
Knowledge
Product development
Productivity
Values
Poland
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Summary:The scientific study aims to explore the impact of human capital quality on the final score of the Summary Innovation Index (SII) and to identify differences in the values of some indicators within die Human Resources (HR) dimension in EU countries. We use Pearson's and Spearman's correlation coefficients to verify the dependence between human capital and innovation performance. We use die comparison metiiod to compare the differences in the values of SII and individual indicators in the HR dimension. When processing the task, we used statistical data within the year 2022, which we drew from die European Commission publication "European Innovation Scoreboard 2022". As a result of our assessment, Sweden, Finland, Denmark, and the Netiierlands perform best in the Human Resources dimension as well as in die SII. The worst performers are Romania, Bulgaria, followed by Eatvia, Poland and Slovakia. The largest differences among EU countries in die HR dimension are in the Population involved in lifelong learning indicator. Hungary shows the most balanced values within the individual indicators of the HR dimension, while the Netherlands shows the most noticeable differences. We confirmed the hypotiiesis of statistical dependence between the HR dimension and die SII.
ISSN:2071-789X
2306-3459
DOI:10.14254/2071789X.2023/16-4/9