Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorErsoy, Nazli
dc.date.accessioned2024-01-29T17:51:13Z
dc.date.available2024-01-29T17:51:13Z
dc.date.issued2023
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2023, roč. 26, č. 3, s. 92–108.cs
dc.identifier.urihttp://hdl.handle.net/11025/55244
dc.format17 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.rightsCC BY-NC 4.1cs_CZ
dc.subjectfinanční výkoncs
dc.subjectmultikriteriální rozhodovánícs
dc.subjectváhový systém založený na datechcs
dc.subjectIDDWScs
dc.subjectkombinované kompromisní řešenícs
dc.titleApplying an integrated data-driven weighting system – CoCoSo approach for financial performance evaluation of Fortune 500 companiesen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedFinancial performance evaluation provides information about a firm’s liquidity position, profitability, capital structure and asset utilization. Financial performance evaluation is considered as a multi-criteria decision making (MCDM) problem, as it is a multidimensional concept that is realized by bringing together multiple indicators. This study is aimed to evaluate the financial performance of the Fortune 500 companies by using the integrated data-driven weighting system (IDDWS) – combined compromise solution (CoCoSo) approach. The criteria weights were calculated with the IDDWS and the companies were ranked by the CoCoSo method. In the last stage, a three-stage sensitivity analysis was performed to test the robustness of the model. In the first stage, 15 scenarios were defined by changing the criteria weights. In the second stage, the rankings of the CoCoSo method were compared with the other MCDM methods [range of value (ROV), proximity indexed value (PIV), complex proportional assessment (COPRAS), Biswas and Saha’s method]. In the third stage, a sensitivity analysis was conducted under five different scenarios based on different δ parameters. It was determined that the rankings obtained as a result of the sensitivity analysis show small deviations and except for a few companies, the ranking of most companies remained the same. The results show that the proposed model is suitable for measuring financial performance and Alphabet performs best. The suitability of the proposed model for measuring financial performance was tested for the first time. It is thought that the comparative use of many MCDM methods through a comprehensive sensitivity analysis will contribute to the literature.en
dc.subject.translatedfinancial performanceen
dc.subject.translatedmulti-criteria decision makingen
dc.subject.translateddata-driven weighting systemen
dc.subject.translatedIDDWSen
dc.subject.translatedcombined compromise solution (CoCoSo)en
dc.identifier.doihttps://doi.org/10.15240/tul/001/2023-3-006
Vyskytuje se v kolekcích:Číslo 3 (2023)
Číslo 3 (2023)

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
E+M_3_2023_06.pdfPlný text1,78 MBAdobe PDFZobrazit/otevřít
Zobrazit minimální záznam Zobrazit statistiky


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/55244

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.

hledání
navigace
  1. DSpace at University of West Bohemia
  2. Publikace ZČU / UWB Publications
  3. Časopisy ZČU / UWB Journals
  4. Ekonomie a management
  5. 2023
  6. Číslo 3 (2023)