Company Performance Measurement with Use of Genetic Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F12%3APU100025" target="_blank" >RIV/00216305:26510/12:PU100025 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/70883521:28120/12:43868595

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Company Performance Measurement with Use of Genetic Algorithm

Popis výsledku v původním jazyce

This paper deals with measurement of company performance. Different methods may be used for measuring of performance of companies. In this article, the authors pay attention to the use of value-based methods in the measuring of performance, like the economic value added concept (EVA); and the traditional measuring of performance and management of companies with the use of financial analysis indicators. This traditional approach is preferred by managers, while the use of EVA is often restrained due to alack of input information or difficulties in calculation. In the course of research, the authors inquire into a question whether a relationship between the value of EVA and the selected indicators of traditional financial analysis may be found. In orderto prove that, the authors employ genetic algorithms for clustering into different groups of performance and they embark on testing of linear dependence. They show that, to a certain degree of probability, this relationship may be proved

Název v anglickém jazyce

Company Performance Measurement with Use of Genetic Algorithm

Popis výsledku anglicky

This paper deals with measurement of company performance. Different methods may be used for measuring of performance of companies. In this article, the authors pay attention to the use of value-based methods in the measuring of performance, like the economic value added concept (EVA); and the traditional measuring of performance and management of companies with the use of financial analysis indicators. This traditional approach is preferred by managers, while the use of EVA is often restrained due to alack of input information or difficulties in calculation. In the course of research, the authors inquire into a question whether a relationship between the value of EVA and the selected indicators of traditional financial analysis may be found. In orderto prove that, the authors employ genetic algorithms for clustering into different groups of performance and they embark on testing of linear dependence. They show that, to a certain degree of probability, this relationship may be proved

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

<a href="/cs/project/GA402%2F09%2F1739" target="_blank" >GA402/09/1739: Tvorba modelu pro měření a řízení výkonnosti podniků</a><br>

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Advanced Finance and Auditing

ISBN

978-1-61804-124-1

ISSN

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e-ISSN

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Počet stran výsledku

384

Strana od-do

128-133

Název nakladatele

WSEAS Press

Místo vydání

Neuveden

Místo konání akce

Zlín

Datum konání akce

20. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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