dc.rights.license | Kūrybinių bendrijų licencija / Creative Commons licence | en_US |
dc.contributor.author | Gajdosikova, Dominika | |
dc.contributor.author | Valaskova, Katarina | |
dc.date.accessioned | 2024-08-26T07:04:25Z | |
dc.date.available | 2024-08-26T07:04:25Z | |
dc.date.issued | 2024 | |
dc.date.submitted | 2024-01-30 | |
dc.identifier.citation | Gajdosikova, 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.2024.1201 | en_US |
dc.identifier.issn | 2029-4441 | en_US |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/154759 | |
dc.description.abstract | The 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.extent | 9 p. | en_US |
dc.format.medium | Tekstas / Text | en_US |
dc.language.iso | en | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/154651 | en_US |
dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/154652 | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source.uri | https://vilniustech.lt/bm | en_US |
dc.subject | business environment | en_US |
dc.subject | European Union countries | en_US |
dc.subject | COVID-19 pandemic | en_US |
dc.subject | macroeconomic indicators | en_US |
dc.subject | TOPSIS | en_US |
dc.subject | cluster analysis | en_US |
dc.title | Application of hierarchical agglomerative clustering with the TOPSIS method for evaluating the business environment in European countries during the post-pandemic period | en_US |
dc.type | Konferencijos publikacija / Conference paper | en_US |
dcterms.accessRights | Laisvai prieinamas / Openly available | en_US |
dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
dcterms.alternative | I. Advanced economic development | en_US |
dcterms.dateAccepted | 2024-04-11 | |
dcterms.issued | 2024-08-26 | |
dcterms.license | CC BY | en_US |
dcterms.references | 33 | en_US |
dc.description.version | Taip / Yes | en_US |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | en_US |
dc.contributor.orcid | https://orcid.org/0000-0001-7705-3264, Gajdosikova Dominika | |
dc.contributor.orcid | https://orcid.org/0000-0003-4223-7519, Valaskova Katarina | |
dc.contributor.institution | University of Zilina, Univerzitna | en_US |
dcterms.sourcetitle | 14th International Scientific Conference “Business and Management 2024” | en_US |
dc.description.volume | I | en_US |
dc.identifier.eisbn | 9786094763632 | en_US |
dc.identifier.eissn | 2029-929X | en_US |
dc.publisher.name | Vilnius Gediminas Technical University | en_US |
dc.publisher.name | Vilniaus Gedimino technikos universitetas | en_US |
dc.publisher.country | Lithuania | en_US |
dc.publisher.country | Lietuva | en_US |
dc.publisher.city | Vilnius | en_US |
dc.description.fundingorganization | The Slovak Research and Development Agency Grant VEGA | en_US |
dc.description.grantname | Metamorphoses and causalities of indebtedness, liquidity and solvency of companies in the context of the global environment | en_US |
dc.description.grantnumber | 1/0494/24 | en_US |
dc.date.firstonline | 2024-08-26 | |
dc.identifier.doi | https://doi.org/10.3846/bm.2024.1201 | en_US |