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dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorGajdosikova, Dominika
dc.contributor.authorValaskova, Katarina
dc.date.accessioned2024-08-26T07:04:25Z
dc.date.available2024-08-26T07:04:25Z
dc.date.issued2024
dc.date.submitted2024-01-30
dc.identifier.citationGajdosikova, D., & Valaskova, K. (2024). Application of hierarchical agglomerative clustering with the TOPSIS method for evaluating the business environment in European countries during the post-pandemic period. In New Trends in Contemporary Economics, Business and Management. Selected Proceedings of the 14th International Scientific Conference “Business and Management 2024”, pp. 64–72. https://doi.org/10.3846/bm.2024.1201en_US
dc.identifier.issn2029-4441en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154759
dc.description.abstractThe economic growth of any country relies significantly on its business environment and entrepreneurship, particularly after overcoming a crisis such as the COVID-19 pandemic. This research paper employs macroeconomic indicators to compare the business environment across European Union (EU) countries, integrating cluster analysis with the TOPSIS method. The results revealed distinct clusters in the European business landscape, highlighting Germany as having the most favourable environment due to regulatory reductions and innovation promotion. France and Italy represent another cluster with advanced industrial status, while Hungary stands out with competitiveness shortcomings, suggesting the overall business climate may not be conducive for enterprises.en_US
dc.format.extent9 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154651en_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154652en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.source.urihttps://vilniustech.lt/bmen_US
dc.subjectbusiness environmenten_US
dc.subjectEuropean Union countriesen_US
dc.subjectCOVID-19 pandemicen_US
dc.subjectmacroeconomic indicatorsen_US
dc.subjectTOPSISen_US
dc.subjectcluster analysisen_US
dc.titleApplication of hierarchical agglomerative clustering with the TOPSIS method for evaluating the business environment in European countries during the post-pandemic perioden_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeI. Advanced economic developmenten_US
dcterms.dateAccepted2024-04-11
dcterms.issued2024-08-26
dcterms.licenseCC BYen_US
dcterms.references33en_US
dc.description.versionTaip / Yesen_US
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publicationen_US
dc.contributor.orcidhttps://orcid.org/0000-0001-7705-3264, Gajdosikova Dominika
dc.contributor.orcidhttps://orcid.org/0000-0003-4223-7519, Valaskova Katarina
dc.contributor.institutionUniversity of Zilina, Univerzitnaen_US
dcterms.sourcetitle14th International Scientific Conference “Business and Management 2024”en_US
dc.description.volumeIen_US
dc.identifier.eisbn9786094763632en_US
dc.identifier.eissn2029-929Xen_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.description.fundingorganizationThe Slovak Research and Development Agency Grant VEGAen_US
dc.description.grantnameMetamorphoses and causalities of indebtedness, liquidity and solvency of companies in the context of the global environmenten_US
dc.description.grantnumber1/0494/24en_US
dc.date.firstonline2024-08-26
dc.identifier.doihttps://doi.org/10.3846/bm.2024.1201en_US


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Kūrybinių bendrijų licencija / Creative Commons licence
Except where otherwise noted, this item's license is described as Kūrybinių bendrijų licencija / Creative Commons licence