Katalóg evidencie publikačnej činnosti PU

ID záznamu:	204287
Kategória:	ADC
Autor:	Jenčová Sylvia (50%)
Autor:	Štefko Róbert (25%)
Autor:	Vašaničová Petra (25%)
Názov:	Scoring model of the financial health of the electrical engineering industry‘s non-financial corporations [elektronický dokument]
Zdroj:	Energies [elektronický dokument]
Lokácia:	Roč. 13, č. 17. - Bazilej, (2020), s. 1-17
ISSN:	1996-1073
URL:	https://www.mdpi.com/1996-1073/13/17/4364
Ohlas:	[1] 2021. KOSTYRKO, Ruslan, KOSOVA, Tetiana, KOSTYRKO, Lydiia et al. Ukrainian market of electrical energy: reforming, financing, innovative investment, efficiency analysis and audit. In Energies : elektronický dokument, ISSN 1996-1073. Bazilej, 2021, Roč. 14, č. 16. CCC.
Ohlas:	[1] 2021. PAVLIČKO, Michal, ĎURICA, Marek, MAZANEC, Jaroslav. Ensemble model of the financial distress prediction in Visegrad Group countries. In Mathematics : elektronický dokument, ISSN 2227-7390. Bazilej, 2021, Roč. 9, č. 16, s. 1-16. CCC. Dostupný na internete <https://www.mdpi.com/2227-7390/9/16/1886>
Ohlas:	[1] 2022. NEVES, F.O., EWBANK, H., ROVEDA, J.A.F. et al. Economic and Production-Related implications for industrial energy efficiency: A logistic regression analysis on cross-cutting technologies. In Energies, ISSN 1996-1073. 2022, vol. 15, no. 4, art. no. 1382. SCOPUS.
Ohlas:	[1] 2022. PAVLICKO, M., MAZANEC, J. Minimalistic logit model as an effective tool for predicting the risk of financial distress in the Visegrad group. In Mathematics, ISSN 2227-7390. 2022, vol. 10, no. 8, art. no. 1302. WOS:000785097900001;SCOPUS.
Ohlas:	[1] 2022. ĎURICA, M., MAZANEC, J. Modeling the financial distress of Slovak companies using various decision trees. In Business and management 2022 : 12th international scientific conference [online]. Vilnius : Vilnius Gediminas technical university press, 2022 [cit. 2022-06-28], s. 851. ISBN 978-609-476-289-5. WOS:000887405800100. Dostupný na internete <http://bm.vgtu.lt/index.php/verslas/2022/paper/view/850/444>
Ohlas:	[1] 2023. DURICA, M., FRNDA, J., SVABOVA, L. Artificial neural network and decision tree-based modelling of non-prosperity of companies. In Equilibrium. Quarterl journal of economics and economic policy [online], ISSN 1689-765X. 2023 [cit. 2024-02-05], roč. 18, č. 4, s. 1105-1131. SCOPUS. Dostupný na internete <https://journals.economic-research.pl/eq/article/view/2867>
Ohlas:	[4] 2023. ĎURICA, M., ŠVÁBOVÁ, L., KRAMÁROVÁ, K. Predictive modelling of financial distress of Slovak companies using machine learning techniques. In Economics, management & business 2023: contemporary issues, insights and new challenges : 8. international scientific conference. 1. vyd. Prešov : Vydavateľstvo Prešovskej univerzity, 2023, s. 785. ISBN 978-80-555-3215-8.
Oblasť výskumu:	080