An Analysis of Value Creation in Czech Food Companies
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F17%3A00095348" target="_blank" >RIV/00216224:14560/17:00095348 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
An Analysis of Value Creation in Czech Food Companies
Original language description
The subject of this article is based on an analysis of food companies in the Czech Republic. The aim of the article is to identify differences in value creation (including causal ones) across the companies. We chose a basic sample of all 931 Czech companies in the food industry sector, in segments such as meat and fish processing, milk and dairy products and so on. Of this group, 707 companies had sufficient and available financial data for the year 2014. In the second step we calculated the EVA and ROE indicators for those companies. Subsequently, 382 successful companies (EVA indicator > 0) and 103 extremely unsuccessful companies (ROE < 0) were selected for further analysis. For these companies, a profile analysis, considering difference in averages, was done which allowed us to compare each of selected financial indicators in both groups of companies and to find the greatest differences between them. In the next step a logistic regression model was used (for indicators with a statistically significant difference) identifying which indicators would serve as the basis for a model for distinguishing high-performing companies from low-performing ones. Thus obtained indicators are evaluated on the basis of the food company model. We created a CVM model which is able to identify companies which create values in 97.1 % of cases and in 79.6 % of cases is able to recognize companies which destroy value. An advantage of the model is its ability to detect areas where the companies are strengthened or weakened due to used financial indicators.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
<a href="/en/project/GA16-16260S" target="_blank" >GA16-16260S: Managerial approach to reduction of reverse flows in connection to customer satisfaction and continuous improvement</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Trendy v podnikání - Business Trends
ISSN
1805-0603
e-ISSN
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Volume of the periodical
2017
Issue of the periodical within the volume
3
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
13
Pages from-to
3-15
UT code for WoS article
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EID of the result in the Scopus database
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