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Creating a comprehensive method for the evaluation of a company

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00001867" target="_blank" >RIV/75081431:_____/20:00001867 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85095449649&origin=resultslist&sort=plf-f&src=s&st1=Creating+a+comprehensive+method+for+the+evaluation+of+a+company+&st2=&sid=5ccdc1da770e1476f27e0861db8fa720&sot=b&sdt=b&sl=79&s=TITLE-ABS-KEY%28Creati" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85095449649&origin=resultslist&sort=plf-f&src=s&st1=Creating+a+comprehensive+method+for+the+evaluation+of+a+company+&st2=&sid=5ccdc1da770e1476f27e0861db8fa720&sot=b&sdt=b&sl=79&s=TITLE-ABS-KEY%28Creati</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/su12219114" target="_blank" >10.3390/su12219114</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Creating a comprehensive method for the evaluation of a company

  • Original language description

    This contribution focuses on the creation of a comprehensive method for the evaluation of an industrial enterprise, one that can be used to predict potential future bankruptcies, using a dataset of financial statements of active companies and those in liquidation in the period 2015-2019. Artificial neural networks were used to process the data, specifically logistic regressions from the data processedin the Statistica and Mathematica software programmes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Sustainability

  • ISSN

    2071-1050

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    21

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    23

  • Pages from-to

    1-23

  • UT code for WoS article

    000589345200001

  • EID of the result in the Scopus database

    2-s2.0-85095449649