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Statements

Subject Item
n2:RIV%2F00216224%3A14560%2F13%3A00066244%21RIV14-GA0-14560___
rdf:type
skos:Concept n14:Vysledek
rdfs:seeAlso
http://www.ekf.vsb.cz/cerei/cs/okruhy/cisla/vol16num2/content
dcterms:description
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. 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. 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.
dcterms:title
Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy
skos:prefLabel
Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy Comparison of the multivariate and bivariate analysis of corporate competitiveness factors synergy
skos:notation
RIV/00216224:14560/13:00066244!RIV14-GA0-14560___
n14:predkladatel
n15:orjk%3A14560
n3:aktivita
n13:P
n3:aktivity
P(GAP403/12/1557)
n3:cisloPeriodika
2
n3:dodaniDat
n11:2014
n3:domaciTvurceVysledku
n6:4701267 n6:8430608
n3:druhVysledku
n12:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
66343
n3:idVysledku
RIV/00216224:14560/13:00066244
n3:jazykVysledku
n19:cze
n3:klicovaSlova
Competitiveness; competitiveness factors; corporate financial performance; multidimensional statistical methods; Sequential Forward Floating Search; synergy; k-Nearest Neighbours
n3:klicoveSlovo
n4:multidimensional%20statistical%20methods n4:synergy n4:k-Nearest%20Neighbours n4:competitiveness%20factors n4:Sequential%20Forward%20Floating%20Search n4:Competitiveness n4:corporate%20financial%20performance
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[D9AC75A416F1]
n3:nazevZdroje
Ekonomická revue
n3:obor
n8:AE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
4
n3:projekt
n17:GAP403%2F12%2F1557
n3:rokUplatneniVysledku
n11:2013
n3:svazekPeriodika
XVI
n3:tvurceVysledku
Pudil, Pavel Částek, Ondřej Somol, Petr Blažek, Ladislav
s:issn
1212-3951
s:numberOfPages
11
n21:doi
10.7327/cerei.2013.06.02
n9:organizacniJednotka
14560