Company Performance Measurement with Use of Genetic Algorithm

Result code in 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>
Alternative codes found
RIV/70883521:28120/12:43868595
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Company Performance Measurement with Use of Genetic Algorithm
Original language description
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
Czech name
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Czech description
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Project
<a href="/en/project/GA402%2F09%2F1739" target="_blank" >GA402/09/1739: The creation of model for measurement and management of company performance</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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