BANKRUPTCY PREDICTION IN VISEGRAD GROUP COUNTRIES

Błażej Prusak; Michal Karas

doi:10.17512/pjms.2024.30.1.16

BANKRUPTCY PREDICTION IN VISEGRAD GROUP COUNTRIES

Abstrakt

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.

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Kategoria:

Publikacja w czasopiśmie

Typ:

artykuły w czasopismach

Opublikowano w:

Polish Journal of Management Studies nr 30, strony 268 - 288,
ISSN: 2081-7452

Język:

angielski

Rok wydania:

2024

Opis bibliograficzny:

Prusak B., Karas M.: BANKRUPTCY PREDICTION IN VISEGRAD GROUP COUNTRIES// Polish Journal of Management Studies -,iss. Volume: 30, No.: 1 (2024), s.268-288

DOI: