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 : Multidisciplinary Digital Publishing Institute, (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 [elektronický dokument]. In Energies : elektronický dokument, ISSN 1996-1073. Bazilej, 2021, Roč. 14, č. 16. CCC; SCO; WOS CC.
Ohlas:	[1] 2021. PAVLIČKO, Michal, ĎURICA, Marek, MAZANEC, Jaroslav. Ensemble model of the financial distress prediction in Visegrad Group countries [elektronický dokument]. In Mathematics : elektronický dokument, ISSN 2227-7390. Bazilej, 2021, Roč. 9, č. 16, s. 1-16. CCC; SCO; WOS CC. 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.
Ohlas:	[1] 2024. CACERES, Abraham Puente de la Vega. Drivers of value creation and the effect of ESG risk rating on investor perceptions through financial metrics. In Sustainability [online], ISSN 2071-1050. 2024 [cit. 2024-09-27], roč. 16, č. 13, art no. 5347. WOS:001266618400001; SCOPUS. Dostupný na internete <https://www.mdpi.com/2071-1050/16/13/5347>
Ohlas:	[3] 2024. LOSOSOVÁ, J., ZDENĚK, R., KOPTA, D. et al. Utilization and impact of the g-index in scholary research. In 9th Annual International Scientific conference Business Trends 2024 [21st-22nd November 2024, Plzeň, Czech Republic [online]]. 1. vyd. Plzeň : Faculty of Economics University of West Bohemia, 2024 [cit. 2025-03-26], s. 101. ISBN 978-80-261-1270-9. Dostupný na internete <https://drive.google.com/file/d/10ufGZtWvb5rX9EMVbkMBC4wVKNq80q8_/view>
Ohlas:	[3] 2025. MANGUNSONG, I.K., ELIZA, A., DEWI SARI, Y. et al. Analisis Prediksi Kebangkrutan PT Sepatu Bata Tbk dengan Metode Altman Z-Score. In Jurnal Ekonomi Bisnis Digital [online], ISSN 2829-4963. 2025 [cit. 2025-05-13], roč. 4, č. 1, s. 30. Dostupný na internete <https://jebidi.itscience.org/index.php/jebidi/article/view/370>
Ohlas:	[3] 2024. WIDIASTUTI, N.I., RAINARLI, E., DEWI, K.E. Optimizing bankruptcy prediction through filter based feature selection. In 2024 International conference on informatics engineering, science and technology (INCITEST). Bandung : IEEE, 2024, s. [1]. ISBN 979-8-3315-2065-6.
Ohlas:	[1] 2025. GAJDOSIKOVA, D., MICHULEK, J., TULYAKOVA, I. AI-based bankruptcy prediction for agricultural firms in Central and Eastern Europe. In International journal of financial studies [online], ISSN 2227-7072. 2025 [cit. 2025-10-27], roč. 13, č. 3, art. no. 133. WOS:001580078500001; SCOPUS. Dostupný na internete <https://www.mdpi.com/2227-7072/13/3/133>
Oblasť výskumu:	080