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dc.contributor.authorRazminienė, Kristina
dc.contributor.authorVinogradova-Zinkevič, Irina
dc.contributor.authorTvaronavičienė, Manuela
dc.date.accessioned2023-09-18T16:11:12Z
dc.date.available2023-09-18T16:11:12Z
dc.date.issued2021
dc.identifier.issn2071-1050
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112195
dc.description.abstractClusters are defined as geographically close groups of organizations that work together to gain a competitive advantage. Clusters’ shared activities involve knowledge sharing, a common pool of resources, innovations, and cooperation. From a more advanced perspective, clusters can work in industrial symbiosis sharing resources, energy, water, and other products. Tendencies of recent research indicate the growing interest in shifting to an efficient use of resources and sustainable development through the circular economy (CE). Clusters can work as enablers of CE to achieve a competitive advantage. The purpose of this study is to trace the relationships between cluster performance and shifting to the CE indicators. Correlation analysis was used as a method to indicate the relationships between pairs of clusters’ performance and shifting to the CE indicators. The limitations of the research refer to the selection of the indicators as both concepts gain insights, although still debatable. The results show that 16 out of 25 cluster performance indicators were identified that have strong or moderate relationships among pairs while shifting to the CE indicators. These indicators are recommended to be included in observation, benchmarking, or evaluation of the clusters’ activities. They can be significant in monitoring the development of shifting to the CE or in combinations with other research areas.eng
dc.formatPDF
dc.format.extentp. 1-15
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyINSPEC
dc.relation.isreferencedbyDOAJ
dc.rightsLaisvai prieinamas internete
dc.source.urihttps://talpykla.elaba.lt/elaba-fedora/objects/elaba:114478083/datastreams/MAIN/content
dc.titleTracing relationship between cluster’s performance and transition to the circular economy
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsLicensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references52
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.studydirectionJ01 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV02 - Aukštos pridėtinės vertės ekonomika / High Value-Added Economy
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.encluster
dc.subject.encircular economy
dc.subject.ensustainable development
dc.subject.encorrelation
dc.subject.enindicators
dc.subject.encompetitiveness
dc.subject.enrelationships
dcterms.sourcetitleSustainability: Digitalization and sustainable development
dc.description.issueiss. 24
dc.description.volumevol. 13
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000742427000001
dc.identifier.doi10.3390/su132413933
dc.identifier.elaba114478083


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