Creating a comprehensive method for the evaluation of a company
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00001867" target="_blank" >RIV/75081431:_____/20:00001867 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85095449649&origin=resultslist&sort=plf-f&src=s&st1=Creating+a+comprehensive+method+for+the+evaluation+of+a+company+&st2=&sid=5ccdc1da770e1476f27e0861db8fa720&sot=b&sdt=b&sl=79&s=TITLE-ABS-KEY%28Creati" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85095449649&origin=resultslist&sort=plf-f&src=s&st1=Creating+a+comprehensive+method+for+the+evaluation+of+a+company+&st2=&sid=5ccdc1da770e1476f27e0861db8fa720&sot=b&sdt=b&sl=79&s=TITLE-ABS-KEY%28Creati</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/su12219114" target="_blank" >10.3390/su12219114</a>
Alternative languages
Result language
angličtina
Original language name
Creating a comprehensive method for the evaluation of a company
Original language description
This contribution focuses on the creation of a comprehensive method for the evaluation of an industrial enterprise, one that can be used to predict potential future bankruptcies, using a dataset of financial statements of active companies and those in liquidation in the period 2015-2019. Artificial neural networks were used to process the data, specifically logistic regressions from the data processedin the Statistica and Mathematica software programmes.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sustainability
ISSN
2071-1050
e-ISSN
—
Volume of the periodical
12
Issue of the periodical within the volume
21
Country of publishing house
CH - SWITZERLAND
Number of pages
23
Pages from-to
1-23
UT code for WoS article
000589345200001
EID of the result in the Scopus database
2-s2.0-85095449649