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dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorBinkytė-Vėlienė, Arūnė
dc.contributor.authorKuzminskė, Agnė
dc.contributor.authorČerkauskas, Justas
dc.contributor.authorČerkauskienė, Alma
dc.contributor.authorValaitienė, Rita
dc.date.accessioned2023-09-18T20:26:18Z
dc.date.available2023-09-18T20:26:18Z
dc.date.issued2020
dc.identifier.issn2076-3417
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/149902
dc.description.abstractThis article looks at the trends and success of the sustainable construction industries in the EU member states, the UK and Norway. The research, covering the past three decades, revealed that different quality of life, macroeconomic, human development, construction and well‐being factors define the sustainable construction industries in the EU member states, the UK and Norway. A multiple criteria decision matrix was created and analysed to look at the EU member countries, the UK and Norway from the perspective of their macro level environment and construction industries. Assessments of the sustainable construction industries were completed by using the COmplex PRoportional Assessment (COPRAS) and Degree of Project Utility and Investment Value Assessments (INVAR), two analysis methods. A look was taken at the dependencies linking the indicators related to the construction industries and macro level in the EU member countries, the UK and Norway. Then, the multiple criteria analysis of the construction industry’s utility degree and performances were completed, and recommendations were generated. A country’s perceived image and success can influence the economic behaviour of consumers. By and large, advanced and successful countries rarely become associated with a negative national image and their products and services rarely suffer negative consequences due to such association. This research, then, offers findings that can assist potential buyers in more rational decision‐making when choosing of products and services based on a country of origin.eng
dc.formatPDF
dc.format.extentp. 1-27
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyAGORA
dc.relation.isreferencedbyGenamics Journal Seek
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyChemical abstracts
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://www.mdpi.com/2076-3417/10/11/3733
dc.source.urihttps://doi.org/10.3390/app10113733
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:61244938/datastreams/MAIN/content
dc.titleMultiple criteria evaluation of the EU country sustainable construction industry lifecycles
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons  Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references105
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVšĮ Lietuvos verslo paramos agentūra
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.ensustainable construction industry
dc.subject.enlifecycles
dc.subject.enEuropean Union Member States
dc.subject.encomplex evaluation
dc.subject.enmultiple criteria analysis
dc.subject.enCOPRAS and INVAR methods
dc.subject.ensuccess and image of a country
dc.subject.enmarketing
dcterms.sourcetitleApplied sciences
dc.description.issueiss. 11
dc.description.volumevol. 10
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000543385900070
dc.identifier.doi10.3390/app10113733
dc.identifier.elaba61244938


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