| HORÁK, Jakub, Tomáš KRULICKÝ, Zuzana ROWLAND and Veronika MACHOVÁ. Creating a comprehensive method for the evaluation of a company. Sustainability. Basel, Switzerland: MDPI, 2020, vol. 12, No 21, p. 1-23. ISSN 2071-1050. Available from: https://dx.doi.org/10.3390/su12219114. |
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@article{55622,
author = {Horák, Jakub and Krulický, Tomáš and Rowland, Zuzana and Machová, Veronika},
article_location = {Basel, Switzerland},
article_number = {21},
doi = {http://dx.doi.org/10.3390/su12219114},
keywords = {Evaluation; bankruptcy; artificial neural networks; financial health; comprehensive method},
language = {eng},
issn = {2071-1050},
journal = {Sustainability},
title = {Creating a comprehensive method for the evaluation of a company},
url = {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},
volume = {12},
year = {2020}
}
TY - JOUR
ID - 55622
AU - Horák, Jakub - Krulický, Tomáš - Rowland, Zuzana - Machová, Veronika
PY - 2020
TI - Creating a comprehensive method for the evaluation of a company
JF - Sustainability
VL - 12
IS - 21
SP - 1-23
EP - 1-23
PB - MDPI
SN - 20711050
KW - Evaluation
KW - bankruptcy
KW - artificial neural networks
KW - financial health
KW - comprehensive method
UR - 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
L2 - 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
N2 - 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.
ER -
HORÁK, Jakub, Tomáš KRULICKÝ, Zuzana ROWLAND and Veronika MACHOVÁ. Creating a comprehensive method for the evaluation of a company. \textit{Sustainability}. Basel, Switzerland: MDPI, 2020, vol.~12, No~21, p.~1-23. ISSN~2071-1050. Available from: https://dx.doi.org/10.3390/su12219114.
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