Ekonomická fakulta UMB
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Prehliadanie Ekonomická fakulta UMB podľa Autor "Huňady, Ján"
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Položka Business research and development: Is there a substitution effect of public support?(Academic Conferences Internatonal Limited Reading, UK, 2024) Pisár, Peter; Huňady, Ján; Honzová, StanislavaThe importance of research and development is reflected in the fact that one of the main priorities of the EU's development policies is increasing spending on research and development in EU member states (EC, 2010). Enterprises do not always have enough internal financial resources to launch their own innovation projects, and therefore they turn to external resource providers (Wang et al., 2016). The paper is aimed at examining the impact of corporate expenditures on R&D from the point of view of their funding sources and analysing the occurrence of the substitution effect of public support for R&D in EU 27 countries. These countries also have the highest level of public financing of research and development, that is, they use the public support of business innovations to the highest extent. The analysis showed that in the EU 27, the substitution effect of public support for research and development is not significant, or rather the complementarity of both types of expenditure prevails at the national level, as public funding of corporate research and development seems to have a positive effect on private research and development and investments. Our analysis is based on available secondary data for 27 EU member states. for a twenty-year observation period (2000-2020). The results have been achieved by using a methodology that includes cluster analysis, panel regression and correlation analysis. We bring new empirical evidence on the relationships between public support and business research and development expenditures. The research results showed the main sources of funding for corporate research and development. It concerns the business enterprises, government and abroad. The cluster analysis determined three clusters, divided according to the structure of the financing of R&D enterprises in EU countries. The results of the cluster analysis were partially in line with the current results of the European Innovation Review. Our findings provide policy implications for the public support policy.Položka Factors affecting adoption of artificial intelligence in SMEs and its impact on firm's skills needs(Niš : Complex system research centre, 2025) Huňady, JánThe paper deals with the problem of artificial intelligence (AI) adoption in companies. It aims to empirically examine factors affecting the adoption of AI. It also identifies factors influencing the potential effects of AI adoption on future infirm skills needs. There is currently an absence of research focused on examining this topic based on empirical data. The research is based on the secondary data from Flash Eurobarometer 537 (2023). More than 19,000 companies from 27 EU countries and 9 non-EU countries have been included in the sample. By examining these data, substantial systematic differences were found between companies with different characteristics. Factors affecting AI adoption and consequences on skills needed have been identified by logistic regression. The results suggest that larger companies with older employees located in cities, as well as those hiring adequate skills without any problems, are often adopting AI. Similar characteristics are also typical for companies that reported a significant effect of AI on their skill needs. However, in this case, the effect of community size and difficulties with hiring skills are not significant. Significant differences were also identified among industries and types of specific skills that a company lacks