Open Access
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
Article Number 01028
Number of page(s) 9
Section Global Impact of COVID 19 on Economy and Society
Published online 13 January 2021
  1. Wu, Y. (2003). Lean manufacturing: a perspective of lean suppliers. International Journal of Operations and Production Management, 23(11), 1349–1376. [CrossRef] [Google Scholar]
  2. Tonchia, S., Quagini, L. (2010). Performance measurement: linking balanced scorecard to business intelligence. Heidelberg [Germany] : New York: Springer. [Google Scholar]
  3. Tewari, D., Singh, A. (2016). Ranking of Performance Indicators in JIT-Based Production System for anufacturing Industries. The IUP Journal of Operations Management, 15(1). 103-106. [Google Scholar]
  4. Stolye, W., Bachmann, H. (2006). Performance Measurement in internationalen Wertschöpfungsketten: Wie Logistikdienstleister die Leistung ihrer Supply Chain-Prozesse systematisch steuern können. Jahrbuch der Hafenbautechnischen Gesellschaft 2006. Hamburg : Schiffahrtsverlag Hansa. 108-126. [Google Scholar]
  5. Olsen, E.O. (2007). Performance measurement system and relationships with performance results. International Journal of Productivity and Performance Management, 56(7), 559–582 [CrossRef] [Google Scholar]
  6. Kusrini, E., Subagyo, Masruroh, N. A.. (2014). Good Criteria for Supply Chain Performance Measurement. International Journal of Engineering Business Management, 6, article Number 9. [CrossRef] [Google Scholar]
  7. Chopra, S., Meindl, P. (2007). Supply Chain Management: Strategy, Planning, and Operation. Upper Saddle River, NJ: Pearson Education. [Google Scholar]
  8. Korzeb, Z., Niedziółka, P. (2020). Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: the case of Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 15(2), 205-234. [Google Scholar]
  9. Kuc-Czarnecka, M. (2020). COVID-19 and digital deprivation in Poland. Oeconomia Copernicana, 11(3), 415-431. [CrossRef] [Google Scholar]
  10. Nica, E. (2019). Cyber-Physical Production Networks and Advanced Digitalization in Industry 4.0 Manufacturing Systems: Sustainable Supply Chain Management, Organizational Resilience, and Data-driven Innovation. Journal of Self-Governance and Management Economics, 7(3), 27–33. [CrossRef] [Google Scholar]
  11. Felstead, M. (2019). Cyber-Physical Production Systems in Industry 4.0: Smart Factory Performance, Innovation-driven Manufacturing Process Innovation, and Sustainable Supply Chain Networks. Economics, Management, and Financial Markets, 14(4), 37–43. [Google Scholar]
  12. Dvorsky, J., Petrakova, Z., Ajaz Khan, K., Formanek, I., Mikolas, Z. (2020). Selected Aspects of Strategic Management in the Service Sector. Journal of Tourism and Services, 20(11), 109–123. [CrossRef] [Google Scholar]
  13. Miklos, P., Haddad, B. H., Nagy, J., Popp, J., Olah, J. (2019). The Impact of Supply Chain Integration and Internal Control on Financial Performance in the Jordanian. Sustainabilty, 11(5), Article Number 1248. [Google Scholar]
  14. Nedeliakova, E., Nedeliak, I., Majercak, P. (2014). Research of Services Quality after the end of transportation in railway freight transport. In : Zhang, Y. (Eds.) ICMIBI (pp. 54-61), Bangkok : Proceedings Paper. [Google Scholar]
  15. Majercak, P., Kliestik, T., Masarova, G., (2013). System Approach of logistic costs optimization solution in Supply Chain. Nase more, 60(5-6). 23-27. [Google Scholar]
  16. Majercak, P., Cisko, S., Majercakova, E. (2013). The impact of theory of constraints on the management accounting. In : Loster, T, Pavelka, T. (Eds.), 7th International Days of Statistics and Economics (pp. 894-904). Praque : Proceedings Paper. [Google Scholar]
  17. Jerabek, K., Majercak, P., Kliestik, T. (2016). Application of Clark and Wrights Savings Algorithm Model to Solve Routing Problem in Supply Logistics. Nase more, 63(3). 34-40. [Google Scholar]
  18. Kollar, B., Adamko, P. (2019). Possibilities of var application in financial investments. In: Klistik, T . (Eds.), Globalization and its socio-economic consequences : sustainability in the global-knowledge economy (Article Number 01014). Rajecke Teplice : SHS Web of Conference. [Google Scholar]
  19. Kollar, B., Adamko, P. (2019). Possible use of credit risk tools for bankruptcy prediction under the conditions of small economies. In: Soliman, K.S.(Eds.), Proceedings of the 33rd International business information management association conference IBIMA 2019 (pp 9100-9109). Granada : Proceedings Paper. [Google Scholar]
  20. Jane, C. H. (2019). Cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0 networked, smart, and responsive devices. Economics, Management, and Financial Markets, 14(4). [Google Scholar]
  21. Kliestik, T., Valaskova, K., Nica, E. (2020). Advanced methods of earnings management :monotonic trends and change-points under spotlight in the Visegrad countries. Oeconomia Copernicana, 11(2), 371-400 . [CrossRef] [Google Scholar]
  22. Valaskova, K., Durana, P., Adamko, P. (2020). Financial compass for Slovak Enterprises : modeling economic stability of Agricultural Entities. Journal of Risk and Financial management,13(5), Article Number 92. [Google Scholar]
  23. Adamko, P., Spuchlakova, E., Valaskova, K. (2015). The history and ideas behind VaR. In : Tsounis, N, Vlahvei, A. (Eds.), International conference on Applied Economics (ICOAE) (pp. 18-24). Kazan : Procedia Economics and Finance. [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.