Open Access
SHS Web Conf.
Volume 129, 2021
The 21st International Scientific Conference Globalization and its Socio-Economic Consequences 2021
Article Number 03014
Number of page(s) 9
Section Financial Management and Financial Markets
Published online 16 December 2021
  1. Coatney, K., & Poliak, M. (2020). Cognitive Decision-Making Algorithms, Internet of Things Smart Devices, and Sustainable Organizational Performance in Industry 4.0-based Manufacturing Systems. Journal of Self-Governance and Management Economics, 8(4), 9–18. [Google Scholar]
  2. Fialova, V., & Folvarcna, A. (2020). Default prediction using neural networks for enterprises from the post-soviet country. Ekonomicko-manazerske spektrum, 14 (1), 43–51. [CrossRef] [Google Scholar]
  3. Jerabek, K., Majercak, P., Kliestik, T., & Valaskova, K. (2016). Application of Clark and Wright´ s savings algorithm model to solve routing problem in supply logistics. Nase More, 63(3), 115-119. [Google Scholar]
  4. Khan, K. A., Dankiewicz, R., Kliuchnikava, Y., & Olah, J. (2020). How do entrepreneurs feel bankruptcy? International Journal of Entrepreneurial Knowledge, 8(1), 89–101. [CrossRef] [Google Scholar]
  5. Kliestik, T., Valaskova, K., Lazaroiu, G., Kovacova, M., & Vrbka, J. (2020). Remaining Financially Healthy and Competitive: The Role of Financial Predictors. Journal of Competitiveness, 12(1), 74. [CrossRef] [Google Scholar]
  6. Majercak, P., Cisko S., & Majercakova E. (2013). The impact of theory of constraints on the management accounting. In Proceedings of 7th International Days of Statistics and Economics (pp. 894-904). [Google Scholar]
  7. Moorthi, S. B. S. (2021). Corporate performance measurement tool via economic value added. International Journal of Management, 8(3), 60-65 [Google Scholar]
  8. Pang, Z., O´Neil, Z., Li, Y., & Niu, F. (2020). The role of sensitivity analysis in the building performance analysis: a critical review. Elsevier, 209, 109659. [Google Scholar]
  9. Robinson, R. (2020). Computationally Networked Urbanism and Sensor-based Big Data Applications in Integrated Smart City Planning and Management. Geopolitics, History, and International Relations, 12(2), 44–50. [CrossRef] [Google Scholar]
  10. Salteli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global sensitivity analysis: the primer. John Wiley & Sons. [Google Scholar]
  11. Savova, K. (2021). Variable application of accounting standards - current aspects, Ekonomicko-manazerske spektrum, 15(1), 111–122. [CrossRef] [Google Scholar]
  12. Shad, M., & Lai, F-W. (2015). Conceptual framework for enterprise risk management performance measure through economic value added. Global business and management research: an international journal, 7(2), 11. [Google Scholar]
  13. Shah, R., Haldar, A., & Nageswara Rao S.V.D. (2016). Economic value added: Corporate performance measurement tool. Corporate Board role duties and composition, 11(1), 47–58. [CrossRef] [Google Scholar]
  14. Shahid, A., Irshad S., & Shams Khakwani, M. (2017). A comparative study on Accounting Based Measures and Economic Based Measures to determine Shareholder Value Creation. Proceedings of the International Conference on Management, Business & Techonology, 173–182. [Google Scholar]
  15. Siekelova, A., Belas, J., Podhorska, I., Durana, P. (2021). Accrual-Based Earnings Management: A Case Study in V4 Focusing on Mining And Quarrying Sector. Acta Montanastica, Slovaca, 26(1), 70–83. [Google Scholar]
  16. Siekelova, A., Kovacova, M., Adamko, & P. Stehel, V. (2019). Profit management as an instrument for SMEs developing: the case for Slovakia. Marketing and Management of Innovations, 3, 285–296. [CrossRef] [Google Scholar]
  17. Valaskova, K., Gavurova, B., Durana, P., & Kovacova, M. (2020). Alter Ego Only Four Times? The Case Study of Business Profits in the Visegrad Group. E&M Economics and Management, 23(3), 101–119. [Google Scholar]
  18. Vochozka, M., Rowland, Z., & Vrbka, J. (2016). Financial analysis of an average transport company in the Czech Republic. Nase more, 63(3), 227-236. [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.