REPOZYTORIUM UNIWERSYTETU
W BIAŁYMSTOKU
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dc.contributor.authorSiemieniuk, Nina-
dc.contributor.authorSiemieniuk, Tomasz-
dc.date.accessioned2025-07-15T07:50:03Z-
dc.date.available2025-07-15T07:50:03Z-
dc.date.issued2025-
dc.identifier.citationOptimum. Economic Studies, Nr 2(120) 2025, s. 269-282pl
dc.identifier.issn1506-7637-
dc.identifier.urihttp://hdl.handle.net/11320/18352-
dc.description.abstractPurpose | The main objective of the publication is to present selected issues related to early warning systems of enterprises based on intelligent systems. Research method | The study used the theory of deterministic chaos as one of the innovative methods of creating an early warning system, which is an advantage over classic methods of analysis based on linear systems. Results | Charts of companies listed on the Polish stock exchange indicate that these are not straight lines, but zigzag lines, which are assigned to non-linear systems. Research shows that it is possible to create an early warning system based on deterministic chaos theory as a non-linear system. Originality / value / implications / recommendations | The results show that deterministic chaos theory can be an important complement to the classical methods of the early warning system.pl
dc.description.sponsorshipThe article is financed by the Faculty of Management as part of the International Scientific Conference “Management in Economy 4.0”. The article has been supported by the Ministry of Science and Higher Education as part of a grant to maintain the research potential of the Faculty of Management of the University of Bialystok.pl
dc.language.isoenpl
dc.publisherWydawnictwo Uniwersytetu w Białymstokupl
dc.subjectdeterministic chaospl
dc.subjectearly warning systempl
dc.subjectlisted companiespl
dc.titleThe Analysis of the Use of Deterministic Chaos Methods as an Early Warning System for Bankruptcypl
dc.typeArticlepl
dc.rights.holder© Copyright by Uniwersytet w Białymstokupl
dc.identifier.doi10.15290/oes.2025.02.120.13-
dc.description.EmailNina Siemieniuk: n.siemieniuk@uwb.edu.plpl
dc.description.EmailTomasz Siemieniuk: tomasz.siemieniuk@wans.edu.plpl
dc.description.AffiliationNina Siemieniuk - University of Bialystokpl
dc.description.AffiliationTomasz Siemieniuk - Eastern European Academy of Applied Sciences in Bialystokpl
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dc.description.number2(120)pl
dc.description.firstpage269pl
dc.description.lastpage282pl
dc.identifier.citation2Optimum. Economic Studiespl
dc.identifier.orcid0000-0002-8819-1301-
dc.identifier.orcid0000-0003-4776-3323-
Występuje w kolekcji(ach):Artykuły naukowe (WZarz)
Optimum. Economic Studies, 2025, nr 2(120)

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