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@inproceedings{1088386,
author = {Pudil, Pavel and Blažek, Ladislav and Somol, Petr and Částek, Ondřej and Grim, Jiří},
address = {Reading, UK},
booktitle = {Proceedings of the International Conference on Management, Leadership and Governance. Bangkok University, Thailand, 7-8 February 2013.},
edition = {1.},
editor = {Vincent Ribiere and Lugkana Worasinchai},
keywords = {factors of corporate competitiveness; corporate financial performance; empirical research; non-linear regression; feature selection; statistical pattern recognition},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Reading, UK},
isbn = {978-1-909507-00-5},
pages = {259-267},
publisher = {Academic Conferences and Publishing International Limited},
title = {Identification of Corporate Competitiveness Factors – Comparing Different Approaches},
url = {http://academic-conferences.org/icmlg/icmlg2013/icmlg13-home.htm},
year = {2013}
}
TY - JOUR
ID - 1088386
AU - Pudil, Pavel - Blažek, Ladislav - Somol, Petr - Částek, Ondřej - Grim, Jiří
PY - 2013
TI - Identification of Corporate Competitiveness Factors – Comparing Different Approaches
PB - Academic Conferences and Publishing International Limited
CY - Reading, UK
SN - 9781909507005
KW - factors of corporate competitiveness
KW - corporate financial performance
KW - empirical research
KW - non-linear regression
KW - feature selection
KW - statistical pattern recognition
UR - http://academic-conferences.org/icmlg/icmlg2013/icmlg13-home.htm
N2 - The methodology and current results of identifying factors of corporate competitiveness in the Czech Republic are discussed. The task is to investigate what is the mutual dependency between the corporate competitiveness (characterized here by the corporate financial performance (hereinafter called ‘CFP) and selected characteristics describing these companies. Such characteristics can be regarded as the factors of competitiveness. The task of determining these factors has to be solved in multidimensional space. Therefore, the feature selection methodology from statistical pattern recognition, selecting a group of the most informative characteristics appears to be a suitable and promising approach. As opposed to our recent paper based on the classification approach, an alternative approach based on non-linear statistical regression is presented here. The paper presents a brief introduction to both the approaches and the results achieved when using them.
ER -
PUDIL, Pavel, Ladislav BLAŽEK, Petr SOMOL, Ondřej ČÁSTEK and Jiří GRIM. Identification of Corporate Competitiveness Factors – Comparing Different Approaches. In Vincent Ribiere and Lugkana Worasinchai. \textit{Proceedings of the International Conference on Management, Leadership and Governance. Bangkok University, Thailand, 7-8 February 2013.}. 1st ed. Reading, UK: Academic Conferences and Publishing International Limited. p.~259-267. ISBN~978-1-909507-00-5. 2013.
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