Katalóg evidencie publikačnej činnosti PU

ID záznamu:	425459
Kategória:	ADM
Autor:	Jenčová Sylvia (50%)
Autor:	Petruška Igor (30%)
Autor:	Lukáčová Marta (15%)
Autor:	Abu Zaid Júlia (5%)
Názov:	Prediction of bankruptcy in non-financial corporations using neural network [print, elektronický dokument]
Zdroj:	Montenegrin Journal of Economics [print, elektronický dokument]
Lokácia:	Roč. 17, č. 4. - Podgorica, (2021), s. 123-134
ISSN:	1800-5845. - ISSN 1800-6698
Ohlas:	[1] 2021. PASTERNAK-MALICKA, M., OSTROWSKA-DANKIEWICZ, A., DANKIEWICZ, R. Bankruptcy – an assessment of the phenomenon in the small and medium-sized enterprise sector-case of Poland. In Polish journal of management studies, ISSN 2081-7452. 2021, vol. 24, no. 1, s. 250-267. WOS:000753848000015;SCOPUS.
Ohlas:	[1] 2023. MICHALKOVÁ, L., KOVÁČOVÁ, M., CEPEL, M. et al. Insolvency prediction and corporate bankrutpcy model in Visegrad group countries. In Transformations in business & economics, ISSN 1648-4460. 2023, roč. 21, č. 2A, s. 529-548. WOS:000927592100008.
Ohlas:	[1] 2023. PARKHOMENKO, N., OTENKO, I., MARTYNOVYCH, N. et al. Application of neural networks in prediction of enterprise development in global environment. In SCMS Journal of Indian management, ISSN 0973-3167. 2023, roč. 20, č. 1, s. 5-19. SCOPUS.
Ohlas:	[1] 2023. KUSTER, D., VUKOVIC, B., MILUTINOVIC, S. et al. Early insolvency prediction as a key for sustainable business growth. In Sustainability [online], ISSN 2071-1050. 2023 [cit. 2024-01-30], roč. 15, č. 21, art no. 15304. WOS:001100255400001. Dostupný na internete <https://www.mdpi.com/2071-1050/15/21/15304>
Ohlas:	[3] 2022. SURWANTI, A., FAUZI, R., MASRUKI, R. Predicting corporate bankruptcy in Indonesia's transportation industry. In JAM: Jurnal Aplikasi Manajemen [online], ISSN 2302-6332. 2022 [cit. 2024-02-15], roč. 20, č. 2, s. 284. Dostupný na internete <https://jurnaljam.ub.ac.id/index.php/jam/article/view/2620>
Ohlas:	[1] 2024. PERALUNGAL, A., NATCHIMUTHU, N. Machine learning in financial distress: a scoping review. In International research journal of multidisciplinary scope [online], ISSN 2582-631X. 2024 [cit. 2024-10-03], roč. 5, č. 3, s. 457-474. SCOPUS. Dostupný na internete <https://www.irjms.com/current-issues/>
Ohlas:	[1] 2024. DASILAS, A., RIGANI, A. Machine learning techniques in bankruptcy prediction: a systematic literature review. In Expert systems with applications, ISSN 0957-4174. 2024, č. 255, časť C, art no. 124761. WOS:001271892400001; SCOPUS.
Ohlas:	[1] 2025. VÁSQUEZ-SERPA, L.-J., RODRÍGUEZ, C., PÉREZ-NÚNEZ, J.-R. et al. Challenges of artificial intelligence for the prevention and identification of bankruptcy risk in financial institutions: a systematic review. In Journal of risk and financial management [online], ISSN 1911-8074. 2025 [cit. 2025-03-11], roč. 18, č. 1, art no. 26. SCOPUS. Dostupný na internete <https://www.mdpi.com/1911-8074/18/1/26>
Oblasť výskumu:	080