Identification of Corporate Competitiveness Factors ? Comparing Different Approaches

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F13%3A00389404" target="_blank" >RIV/67985556:_____/13:00389404 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14560/13:00066019

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Identification of Corporate Competitiveness Factors ? Comparing Different Approaches

Popis výsledku v původním jazyce

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 multidimensionalspace. 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.

Název v anglickém jazyce

Identification of Corporate Competitiveness Factors ? Comparing Different Approaches

Popis výsledku anglicky

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 multidimensionalspace. 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.

Druh

D - Stať ve sborníku

CEP obor

AH - Ekonomie

OECD FORD obor

—

Projekt

<a href="/cs/project/GAP403%2F12%2F1557" target="_blank" >GAP403/12/1557: Přístupy k identifikaci faktorů výkonnosti podniků s důrazem na metody výběru příznaků ve statistickém rozpoznávání.</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the International Conference on Management, Leadership and Governance 2013

ISBN

978-1-909507-00-5

ISSN

—

e-ISSN

—

Počet stran výsledku

9

Strana od-do

259-267

Název nakladatele

Academic Conferences and Publishing International Limited

Místo vydání

Reading

Místo konání akce

Bangkok

Datum konání akce

7. 2. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—