Open Access
SHS Web Conf.
Volume 129, 2021
The 21st International Scientific Conference Globalization and its Socio-Economic Consequences 2021
Article Number 02009
Number of page(s) 10
Section Behavioral Economics and Decision-Making
Published online 16 December 2021
  1. Age composition - SR, areas, counties, districts, city, countryside, (2020, March 18). STATdat. [Google Scholar]
  2. Browne, M. W. (2001). An Overview of Analytic Rotation in Exploratory Factor Analysis. Multivariate Behavioral Research, 36(1), 111–150. [CrossRef] [Google Scholar]
  3. Cismariu, C., & Hosu, I. (2019). Generation Z and social media. In: Vlada M, Albeanu G, Istrate O, Adascalitei A, editors. Proc 14th Int Conf Virtual Learn Icvl 2019. Bucharest: Bucharest University Press (pp. 367-73). [Google Scholar]
  4. Dimock, M. (2021, August 21). Where milennials end and generation Z begins. PowResearch. [Google Scholar]
  5. Dolot, A. (2018). The characteristics of Generation Z. E-Mentor, 74(74), 44–50. [CrossRef] [Google Scholar]
  6. Duris, V., Bartkova, R., & Tirpáková, A. (2021). Principal Component Analysis and Factor Analysis for an Atanassov IF Data Set. Mathematics, 9, Art. No. 2067. [Google Scholar]
  7. Gasova, K., & Stofkova, J. (2017). Cluster cooperation in globalised world. 17th International Scientific Conference on Globalization and Its Socio-Economic Consequences, Zilina: University of Zilina (pp. 479-486). [Google Scholar]
  8. Hayton, J. C., Allen, D. G., & Scarpello, V. (2004). Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis. Organizational Research Methods, 7(2), 191–205. [CrossRef] [Google Scholar]
  9. Hebák, P. et al. (2007). Multidimensional statistical method 3. Praha: Informatorium. [Google Scholar]
  10. Johnson, R. A., & Wichern, D. W. (2007). Applied multivariate statistical analysis. New Jersey: Pearson. [Google Scholar]
  11. Kubas, J., Soltes, V., & Stofkova, Z. (2017). Modern marketing in special services. Manažment environmentálnych inovácií prostredníctvom phygitalových nástrojov, Trnava: Univerzita sv. Cyrila a Metoda v Trnave (pp. 134-141). [Google Scholar]
  12. Madlenakova, L., Turska, S., & Madlenak, R. (2019). The image of the postal company as a key attribute of the customer´s purchasing behaviour. In J. Bujnak & M. Guagliano (Eds.). Proceedings of the 13th International Scientific Conference on Sustainable, Modern and Safe Transport TRANSCOM 2019 (pp. 1088-1095). [Google Scholar]
  13. Munsch, A. (2021). Millennial and generation Z digital marketing communication and advertising effectiveness: A qualitative exploration. Journal of Global Scholars of Marketing Sciience, 31(1), 10–29. [CrossRef] [Google Scholar]
  14. Nadanyiova, M., Gajanova, L., & Majerova, J. (2020). Green Marketing as a Part of the Socially Responsible Brand’s Communication from the Aspect of Generational Stratification. Sustainability, 12(17), Art. No. 7118. [CrossRef] [Google Scholar]
  15. Smolka, S. (2019). Characteristics of generations of Slovak consumers. Marketing Science & Inspirations, 14(1), 2–11. [Google Scholar]
  16. Statistika PSPP. (2021, July 2). Statistika PSPP. [Google Scholar]
  17. Svabova, L., & Kramarova, K. (2021). An analysis of participation factors and effects of the active labor market measure Graduate practice in Slovakia – counterfactual approach. Evaluation and Program Planning, 86, Art. No. 101917. [Google Scholar]
  18. Valaskova, K., Durana, P., & Adamko, P. Changes in Consumers’ Purchase Patterns as a Consequence of the COVID-19 Pandemic. Mathematics 2021, 9, Art. No. 1788. [CrossRef] [Google Scholar]
  19. Zilincikova, M., & Stofkova, Z. (2021). Entrepreneurship education as a competitiveness support in the conditions of globalization. 15th International Technology, Education and Development Conference, Valencia: IATED, INTED Proceedings (pp. 7833-7840). [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.