Open Access
Issue
SHS Web of Conf.
Volume 90, 2021
International Conference on Entrepreneurial Competencies in a Changing World (ECCW 2020)
Article Number 01008
Number of page(s) 11
Section Stabilization and Development of SMEs in Rural Areas
DOI https://doi.org/10.1051/shsconf/20219001008
Published online 07 January 2021
  1. European Commission, European Innovation Scoreboard 2020. Luxembourg: Publications Office of the European Union (2020) [Google Scholar]
  2. European Statistical Office (Eurostat), Smarter, greener, more inclusive? Indicators to support the Europe 2020 strategy. Luxembourg: Publications Office of the European Union (2020) [Google Scholar]
  3. Technology Centre of the CAS, Potenciál růstu soukromých investic ve výzkumu, vývoji a inovacích mající vliv na strukturu ekonomiky, zaměstnanost a veřejné rozpočty [Growth potential of private investments in research, development and innovation affecting the structure of the economy, employment and public budget]. [online]. Available at: https://www.spcr.cz/aktivity/z-hospodarske-politiky/12541-cesko-potrebuje-zlepsit-podminky-pro-vyzkum-vyvoj-a-inovace (2018) [Google Scholar]
  4. T. Ylömäki, Global Value Chain Upgrading. The Research Institute of the Finnish Economy (ETLA), ETLA Working Papers. 36 (2016) [Google Scholar]
  5. C. Pietrobelli, R. Rabellotti, Global value chains meet innovation systems: Are there learning opportunities for developing countries? World Development. 39, 1261–1269 (2011) [CrossRef] [Google Scholar]
  6. J. Hirshleifer, Investments Decision under Uncertainty: Choice - Theoretic Approaches. The Quarterly Journal of Economics. 79, 509–36 (1965) [CrossRef] [Google Scholar]
  7. S. Lee, D. Olson, Convergenomics: Convergenomics: Strategic Innovation in the Convergence Era. Surrey: Gower Publishing (2010) [Google Scholar]
  8. M. T. Hansen, J. Birkinshaw, The Innovation Value Chain. 85, Harvard Business Review. 121–130 (2007) [Google Scholar]
  9. S. Roper, S. Arvabitis, From knowledge to value added: A comparative, panel-data analysis of the innovation value chain in Irish and Swiss manufacturing firms. Research Policy. 41(6), 1093–1106 (2012) [CrossRef] [Google Scholar]
  10. S.M. Lee, S. Trimi, Innovation for creating a smart future. Journal of Innovation & Knowledge. 3(1), 1–8 (2018) [CrossRef] [Google Scholar]
  11. M. Halaskova, B. Gavurova, S. Korony, Change of EU28 countries research and development indicators between 2010 and 2015. Economics and Sociology. 13(1), 230–248 (2020) [CrossRef] [Google Scholar]
  12. A. Rodríguez-Pose, R. Crescenzi, Research and development, spillovers, innovation systems, and the genesis of regional growth in Europe. Regional studies. 42(1), 51–67 (2008) [CrossRef] [Google Scholar]
  13. S. Kergroach, National innovation policies for technology upgrading through GVCs: A cross-country comparison. Technological Forecasting and Social Change. 145, 258–272 (2019) [CrossRef] [Google Scholar]
  14. L. Tajoli, G. Felice, Global Value Chains Participation and Knowledge Spillovers in Developed and Developing Countries: An Empirical Investigation. The European Journal of Development Research. 30, 505–532 (2018) [CrossRef] [Google Scholar]
  15. R. Lema, R. Rabellotti, P. Gehl Sampath, Innovation Trajectories in Developing Countries: Co-evolution of Global Value Chains and Innovation Systems. The European Journal of Development Research. 30, 345–363 (2018) [CrossRef] [Google Scholar]
  16. C. Jona-Lasinio, S. Manzocchi, V. Meliciani, Knowledge based capital and value creation in global supply chains. Technological Forecasting and Social Change. 148 (2019) [CrossRef] [Google Scholar]
  17. K. Reddy, R. Chundakkadan, S. Sasidharan, Firm innovation and global value chain participation. Small Business Economics. (2020) [Google Scholar]
  18. X. González, C. Pazó, Do public subsidies stimulate private R&D spending? Research Policy. 37, 371–389 (2008) [CrossRef] [Google Scholar]
  19. Z. Potuzakova, J. Ohm, R&D Investments, EPO Patent Applications and the Economic Heterogeneity within the EU. Review of Economic Perspectives. 18(2), 177–191 (2018) [CrossRef] [Google Scholar]
  20. Archive of European integration, Barcelona European Council 15–16 March 2002. Presidency conclusions. [online]. Available at: http://aei.pitt.edu/43345/(2002) [Google Scholar]
  21. N. Albu, Research and Development Spending in the EU: 2020. Growth Strategy in Perspective. SWP Working Paper. 1(8) (2011) [Google Scholar]
  22. Eurostat. Gross domestic expenditure on R&D [online]. Available from: https://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&language=en&pcode=t2020_20&plugin=1 (2020) [Google Scholar]
  23. Office of the Government of the Czech Republic, Innovation Strategy of the Czech Republic 2019—2030 [online]. Available at: https://www.vyzkum.cz/FrontAktualita.aspx?aktualita=867990 (2019) [Google Scholar]
  24. A. Ruser, H. K. Anheier, The EU’s Future Role on the Global Stage. Global Policy. 5(1) (2014) [CrossRef] [Google Scholar]
  25. J. W. Lee, Lagged Effects of R&D Investments on Corporate Market Value: Evidence from Manufacturing Firms Listed in Chinese Stock Markets. The Journal of Asian Finance, Economics and Business. 7(8), 69–76 (2020) [CrossRef] [Google Scholar]
  26. C. T. Albulescu, D. Goyeau, EU Funds Absorption Rate and the Economic Growth. Timisoara Journal of Economics and Business. 6(20), 153–170 (2013) [Google Scholar]
  27. P. K. Ozili, T. Arun, Spillover of COVID-19: Impact on the Global Economy. SSRN Electronic Journal. (2020) [Google Scholar]
  28. I. S. Didych, O. Pastukh, Y. Pyndus, O. Yasniy, The evaluation of durability of structural elements using neural networks. Acta Metallurgica Slovaca. 24(1), 82–87 (2018) [CrossRef] [Google Scholar]
  29. M. Vochozka, J. Horak, T. Krulicky, Innovations in Management Forecast: Time Development of Stock Prices with Neural Networks. Marketing and Management of Innovations. 2020(2), 324–339 (2020) [CrossRef] [Google Scholar]

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