Open Access
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
Article Number 02046
Number of page(s) 9
Section Behavioral Economics and Decision-Making
Published online 13 January 2021
  1. Mahmood, T., Mubarik, M.S. (2020). Balancing innovation and exploitation in the fourth industrial revolution: Role of inetellectual capital and technology absorptive capacity. Technological Forecasting and Social Change, 160, 1-9. [CrossRef] [Google Scholar]
  2. Low, J., Kalafut, P.C. (2002). Invisible Advantag. Cambridge: Perseus. [Google Scholar]
  3. Kozera-Kowalska, M. (2020). Intellectual capital: ISVA, the alternative way of calculating creating value in agricultural entities-case of Poland. View Journal Impact, 12(7), 1-19. [Google Scholar]
  4. An, M.H., Ri, G.Y., Rim, G.N. (2020). Intellectual product and method of assessing the competitiveness of an enterprise with it. Journal of the Knowledge Economy, 11(3), 1059-1085. [CrossRef] [Google Scholar]
  5. Barták, J. (2006). Skryté bohatství firmy. Praha: Alfa. [Google Scholar]
  6. Edvinnson, L., Malone M.S. (2001). Kapitał intelektualny. Warszawa: Wydawnictwo Naukowe PWN. [Google Scholar]
  7. Truneček, J. (2003). Znalostní podnik ve znalostní společnosti. Praha: Professional. [Google Scholar]
  8. Barrena-Martinez, J., Cricelli, L., Ferrandiz, E., Greco, M., Grimaldi, M. (2020). Joint forces: Towards an integration of intellectual capital theory and the open innovation paradigm. Journal of Business Research, 112, 261-270. [CrossRef] [Google Scholar]
  9. Dearden, L., Read, H., Van Reenen, J. (2019, November 15). The Impact of Training on Productivity and Wages: Evidence from British Panel Data. [Google Scholar]
  10. Konings, J., Vanormmelingen, S. (2019, November 17). The Impact of Training on Productivity and Wages: Firm-Level Evidence. [Google Scholar]
  11. Armstrong, M. (2007). Řízení lidských zdrojů. Praha: Grada. [Google Scholar]
  12. Saeidi, P., Saeidi, S.P., Guttierez, L., Streimikiene, D., Alrasheedi, M., Saeidi, S.P., Mardani, A. (2020, August 21). The influence of enterprise risk management on firm performance with the moderating effect of intellectual capital dimensions. [Google Scholar]
  13. Karasneh, A. (2020, September 1). Revitalizing the BSC through knowledge management: The mediating role of intellectual capital. [Google Scholar]
  14. Gashenko, I.V., Khakhonova, N.N., Orobinskaya, I.V., Zima, Y.S. (2020). Competition between human and artificial intellectual capital in production and distribution in Industry 4.0. Journal of Intellectual Capital, 21(4), 531-547. [CrossRef] [Google Scholar]
  15. Kianto, A., Ritala, P., Vanhala, M., Hussinki, H. (2020). Reflections on the criteria for the sound measurement of intellectual capital: A knowledge-based perspective. Critical Perspectives on Accounting, 70, 1-15. [CrossRef] [Google Scholar]
  16. Kalenyuk, I., Grishnova, O., Tsymbal, L., Djakona, A., Panchenko, E. (2020). Formation of intellectual corporate capital: methods and modern trends. Bulletin of the National Academy of Sciences of the Republic of Kazachstan, 1, 182-191. [Google Scholar]
  17. Ousama, A.A., Al-Mutairi, M.T., Fatima, A.H. (2020). The relationship between intellectual capital information and firms’ market value: a study from an emerging economy. Measuring Business Excellence, 24(1), 39-51. [CrossRef] [Google Scholar]
  18. Widiatmoko, J., Indarti, M.G.K., Pamungkas, I.D. (2020). Corporate governance on intellectual capital disclosure and market capitalization. Cogent Business & Management, 7(1), 21-32. [CrossRef] [Google Scholar]
  19. Caganova, D., Hlasnikova, P.R., Vranakova, N. (2020). Intellectual capital as a key factor in the automotive Industry. Mobile Networks & Applications, 24(6), 2024-2031. [CrossRef] [Google Scholar]

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