Discriminatory models’ adaptation in small and medium sized health care entities

The article presents the utilization of discriminatory analysis in small and medium sized hospitals. The discriminatory models are used to estimate the probability of researched hospitals bankruptcy. The financial distress is tested with two popular models, one foreign (the Altman Z’’Score Model) an...

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Main Authors: Aleksandra Szewieczek, Bartłomiej lisicki
Format: Article
Language:English
Published: University in Belgrade 2019-11-01
Series:Serbian Journal of Management
Subjects:
sme
Online Access:http://aseestant.ceon.rs/index.php/sjm/article/view/22902/pdf
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spelling doaj-910406ffb98c4887bb326c10907686c12020-11-25T02:45:30ZengUniversity in BelgradeSerbian Journal of Management1452-48642217-71592019-11-0114238940310.5937/sjm14-22902Discriminatory models’ adaptation in small and medium sized health care entitiesAleksandra Szewieczek0Bartłomiej lisicki1University of Economics in Katowice, The Faculty of Finance and Insurance, Department of Accounting, 40-287 Katowice, ul. 1 Maja 50, Poland University of Economics in Katowice, The Faculty of Finance and Insurance, Department of Accounting, 40-287 Katowice, ul. 1 Maja 50, Poland The article presents the utilization of discriminatory analysis in small and medium sized hospitals. The discriminatory models are used to estimate the probability of researched hospitals bankruptcy. The financial distress is tested with two popular models, one foreign (the Altman Z’’Score Model) and one domestic (the Mączyńska Model). The authors also construct their own model, adapted to the specification of medical activity. The results indicate that the author’s model is much more suitable for the small and medium sized hospitals, as the rate of prediction is highest. It may indicate that in the health care sector, particularly in small and medium sized companies, different phenomena occur, which affect these companies’ financial distress. Despite this, this study indicates that the proposed model is one of the useful tools for their evaluation, especially when combined with other financial as well as non-financial tools. Finally, it was possible to verify the hypothesis that it is possible to create a discriminatory model dedicated to SMEs hospitals, which results are more accurate than using different, not adjusted to health care sector specifics, discriminatory models.http://aseestant.ceon.rs/index.php/sjm/article/view/22902/pdffinancial distressdiscriminatory analysishealth caremanagementaccountingsme
collection DOAJ
language English
format Article
sources DOAJ
author Aleksandra Szewieczek
Bartłomiej lisicki
spellingShingle Aleksandra Szewieczek
Bartłomiej lisicki
Discriminatory models’ adaptation in small and medium sized health care entities
Serbian Journal of Management
financial distress
discriminatory analysis
health care
management
accounting
sme
author_facet Aleksandra Szewieczek
Bartłomiej lisicki
author_sort Aleksandra Szewieczek
title Discriminatory models’ adaptation in small and medium sized health care entities
title_short Discriminatory models’ adaptation in small and medium sized health care entities
title_full Discriminatory models’ adaptation in small and medium sized health care entities
title_fullStr Discriminatory models’ adaptation in small and medium sized health care entities
title_full_unstemmed Discriminatory models’ adaptation in small and medium sized health care entities
title_sort discriminatory models’ adaptation in small and medium sized health care entities
publisher University in Belgrade
series Serbian Journal of Management
issn 1452-4864
2217-7159
publishDate 2019-11-01
description The article presents the utilization of discriminatory analysis in small and medium sized hospitals. The discriminatory models are used to estimate the probability of researched hospitals bankruptcy. The financial distress is tested with two popular models, one foreign (the Altman Z’’Score Model) and one domestic (the Mączyńska Model). The authors also construct their own model, adapted to the specification of medical activity. The results indicate that the author’s model is much more suitable for the small and medium sized hospitals, as the rate of prediction is highest. It may indicate that in the health care sector, particularly in small and medium sized companies, different phenomena occur, which affect these companies’ financial distress. Despite this, this study indicates that the proposed model is one of the useful tools for their evaluation, especially when combined with other financial as well as non-financial tools. Finally, it was possible to verify the hypothesis that it is possible to create a discriminatory model dedicated to SMEs hospitals, which results are more accurate than using different, not adjusted to health care sector specifics, discriminatory models.
topic financial distress
discriminatory analysis
health care
management
accounting
sme
url http://aseestant.ceon.rs/index.php/sjm/article/view/22902/pdf
work_keys_str_mv AT aleksandraszewieczek discriminatorymodelsadaptationinsmallandmediumsizedhealthcareentities
AT bartłomiejlisicki discriminatorymodelsadaptationinsmallandmediumsizedhealthcareentities
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