ČÁSTEK, Ondřej, Ladislav BLAŽEK, Pavel PUDIL a Petr SOMOL. Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy. Ekonomická revue. Ostrava: VŠB - Technická univerzita Ostrava, 2013, XVI, č. 2, s. 67 - 77. ISSN 1212-3951. Dostupné z: https://dx.doi.org/10.7327/cerei.2013.06.02. |
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@article{1115251, author = {Částek, Ondřej and Blažek, Ladislav and Pudil, Pavel and Somol, Petr}, article_location = {Ostrava}, article_number = {2}, doi = {http://dx.doi.org/10.7327/cerei.2013.06.02}, keywords = {Competitiveness; competitiveness factors; corporate financial performance; multidimensional statistical methods; Sequential Forward Floating Search; synergy; k-Nearest Neighbours}, language = {cze}, issn = {1212-3951}, journal = {Ekonomická revue}, title = {Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy}, url = {http://www.ekf.vsb.cz/cerei/cs/okruhy/cisla/vol16num2/content}, volume = {XVI}, year = {2013} }
TY - JOUR ID - 1115251 AU - Částek, Ondřej - Blažek, Ladislav - Pudil, Pavel - Somol, Petr PY - 2013 TI - Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy JF - Ekonomická revue VL - XVI IS - 2 SP - 67 - 77 EP - 67 - 77 PB - VŠB - Technická univerzita Ostrava SN - 12123951 KW - Competitiveness KW - competitiveness factors KW - corporate financial performance KW - multidimensional statistical methods KW - Sequential Forward Floating Search KW - synergy KW - k-Nearest Neighbours UR - http://www.ekf.vsb.cz/cerei/cs/okruhy/cisla/vol16num2/content L2 - http://www.ekf.vsb.cz/cerei/cs/okruhy/cisla/vol16num2/content N2 - Corporate competitiveness is influenced by a number of factors. Their impact is not partial, but synergistic. It is necessary to respect the phenomenon of synergy consistently when examining which of these potential competitiveness attributes can really function as these factors. Consequently, feature selection and classification methods of statistical pattern recognition have been used for the multivariate statistical analysis of and search for competitiveness factors. The calculations conducted herein show that the Sequential Forward Floating Search method in combination with k-Nearest Neighbours classification is capable of capturing the synergistic effect of the whole set of factors, providing much better results than simple bivariate analysis methods that test only the partial effects of individual factors. ER -
ČÁSTEK, Ondřej, Ladislav BLAŽEK, Pavel PUDIL a Petr SOMOL. Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy. \textit{Ekonomická revue}. Ostrava: VŠB - Technická univerzita Ostrava, 2013, XVI, č.~2, s.~67 - 77. ISSN~1212-3951. Dostupné z: https://dx.doi.org/10.7327/cerei.2013.06.02.
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