Bankruptcy prediction in Visegrad Group countries

• Autorzy: Prusak Błażej , Karas Michal

Identyfikatory

DOI

10.17512/pjms.2024.30.1.16

Warianty tytułu

PL

Prognozowanie upadłości w krajach Grupy Wyszehradzkiej

• Języki publikacji: EN

Abstrakty

EN

The novelty of the study is a comprehensive look at the problem of bankruptcy forecasting in Visegrad Group countries (V4) and making a comparison in relation to the achievements obtained in more developed western countries. The conducted research based on a systematic literature review of 151 publications indexed in Scopus and Web of Science and bibliometric analysis. The results showed that the main lines of research are from many perspectives unique compared to traditional western models, which are mainly given by different historical developments. Among the most predominant trends in the V4 countries, belongs relying on traditional classification algorithms with few exemptions of more advanced approaches, such as ensemble techniques. There are still many researchers using foreign bankruptcy forecasting models, which is an undesirable phenomenon due to their low efficiency. Although economically and culturally, these countries have many similarities, different predictors should be used in the process of developing bankruptcy prediction models. The conducted bibliometric analysis unveils the most influential papers, authors and periods of interest. Considering the number of publications and studies conducted, Hungary has a much smaller number than Slovakia, the Czech Republic and Poland. The results also showed challenges for further research, as most models rely on financial data, with limited focus on other predictors. In addition, most models are static in nature.

PL

Nowością badania jest kompleksowe spojrzenie na problematykę prognozowania upadłości w krajach Grupy Wyszehradzkiej (V4) i dokonanie porównania w relacji do osiągnięć uzyskanych w bardziej rozwiniętych krajach zachodnich. Badanie zostało przeprowadzone przy wykorzystaniu metody systematycznego przeglądu literatury 151 publikacji indeksowanych w bazach Scopus i Web of Science, a także analizy bibliometrycznej. Stanowi oryginalny wkład w obszar dotyczący prognozowania upadłości przedsiębiorstw, ze szczególnych uwzględnieniem krajów V4. Wyniki pokazały, że główne kierunki badań w wielu przypadkach różnią się w porównaniu z tradycyjnymi podejściem do modelowania predykcji upadłości w krajach zachodnich. Wynika to głównie z różnych zaszłości historycznych. Do najbardziej dominujących trendów w krajach V4 należy poleganie na tradycyjnych algorytmach klasyfikacji, z kilkoma wyjątkami bardziej zaawansowanych podejść, takich jak techniki zespołowe. Wciąż wielu badaczy korzysta z zagranicznych modeli prognozowania upadłości, co jest zjawiskiem niepożądanym ze względu na ich niską skuteczność. Chociaż pod względem gospodarczym i kulturowym kraje te wykazują wiele podobieństw, w procesie opracowywania modeli prognozowania upadłości zaleca się stosować różne predyktory. Przeprowadzona analiza bibliometryczna ujawniła najbardziej wpływowe prace, autorów i okresy zainteresowania tym obszarem badawczym. Biorąc pod uwagę liczbę publikacji i przeprowadzonych badań, Węgry mają ich znacznie mniej niż Słowacja, Czechy i Polska. Wyniki pokazały również wyzwania dla dalszych badań, ponieważ większość modeli opiera się na danych finansowych, z ograniczonym naciskiem na inne predyktory. Ponadto większość modeli ma charakter statyczny.

Słowa kluczowe

EN

bankruptcy prediction; Visegrad Group countries; bibliometric analysis; systematic literature review

PL

prognozowanie upadłości; kraje Grupy Wyszehradzkiej; analiza bibliometryczna; systematyczny przegląd literatury

• Wydawca: Czestochowa University of Technology
• Czasopismo: Polish Journal of Management Studies
• Rocznik: 2024
• Tom: Vol. 30, No. 1
• Strony: 268--288
• Opis fizyczny: Bibliogr. 99 poz., tab., rys.

Twórcy

autor

Prusak Błażej

• Faculty of Management and Economics, Gdańsk University of Technology, Poland

• https://orcid.org/0000-0002-6526-0407

autor

Karas Michal

• Faculty of Business and Management, Brno University of Technology, Czechia

• https://orcid.org/0000-0001-8824-1594

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).