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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