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@article{62281, author = {Krulický, Tomáš and Horák, Jakub}, article_location = {Žilina, Slovensko}, article_number = {2}, keywords = {business performance; corporate finance; cluster analysis; artificial neural networks; financial analysis}, language = {eng}, issn = {1337-0839}, journal = {Ekonomicko - manažerské spektrum}, title = {Business performance and financial health assessment through Artificial Intelligence}, url = {https://ems.uniza.sk/wp-content/uploads/EMS_2_2021_04_Krulicky_Horak.pdf}, volume = {15}, year = {2021} }
TY - JOUR ID - 62281 AU - Krulický, Tomáš - Horák, Jakub PY - 2021 TI - Business performance and financial health assessment through Artificial Intelligence JF - Ekonomicko - manažerské spektrum VL - 15 IS - 2 SP - 38-51 EP - 38-51 PB - University of Zilina SN - 13370839 KW - business performance KW - corporate finance KW - cluster analysis KW - artificial neural networks KW - financial analysis UR - https://ems.uniza.sk/wp-content/uploads/EMS_2_2021_04_Krulicky_Horak.pdf N2 - The authors aim is to propose an appropriate tool for cluster analysis and determine the ability of a business to survive a potential financial distress. ER -
KRULICKÝ, Tomáš and Jakub HORÁK. Business performance and financial health assessment through Artificial Intelligence. \textit{Ekonomicko - manažerské spektrum}. Žilina, Slovensko: University of Zilina, vol.~15, No~2, p.~38-51. ISSN~1337-0839. 2021.
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