Drivers for circular economy development: making businesses more environmentally friendly

dc.contributor.author Antonio Eiti Kurita
dc.contributor.author Maximilian Espuny
dc.contributor.author Thalita Láua Reis Campos
dc.contributor.author Yigit Kazancoglu
dc.contributor.author K. Jayakrishna
dc.contributor.author Otávio José De Oliveira
dc.date.accessioned 2025-10-06T17:49:25Z
dc.date.issued 2023
dc.description.abstract Stakeholders have been pressuring companies to develop more environmentally friendly strategic and operational solutions. In this sense companies are seeking alternatives that reduce the negative impacts of organizational activities Circular Economy (CE) is one of the solutions with the greatest potential for success. Thus the goal of this paper is to provide drivers for organizations’ transition from a linear to a CE. For this reason content analysis was used as the scientific method for being appropriate for the interpretation of qualitative data and the identification clustering and systematization of themes in a given field of knowledge. In the case of this work a set of 30 articles with information related to the implementation and development of CE were analyzed allowing the identification of 19 key elements of CE. These key elements were then grouped and systematized into four drivers: decision-making, capacity and training, sustainable practices, and green supply chain. Scientifically this work contributes to the improvement and increase of the block of knowledge about the CE because the drivers can be used to advance the state of the art and as a starting point for the development of new research. In an applied way the drivers proposed in this article provide a range of actions for managers to make their companies greener and improve their organizational performance thus contributing environmentally and socially to the planet. © 2023 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1007/s11356-023-28048-0
dc.identifier.issn 09441344, 16147499
dc.identifier.issn 1614-7499
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161829979&doi=10.1007%2Fs11356-023-28048-0&partnerID=40&md5=0dbf95cbfe644f890e98d7d8d6fa4789
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8436
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof Environmental Science and Pollution Research
dc.source Environmental Science and Pollution Research
dc.subject Circular Economy, Content Analysis, Drivers, Environmental Management, Green Business, Sustainable Development, Economic Conditions, Economic Development, Environmental Management, Green Economy, Knowledge, Sustainable Development, Cluster Analysis, Commercial Phenomena, Organization, Cluster Analysis, Commerce, Organizations
dc.subject economic conditions, economic development, environmental management, green economy, knowledge, sustainable development, cluster analysis, commercial phenomena, organization, Cluster Analysis, Commerce, Organizations
dc.title Drivers for circular economy development: making businesses more environmentally friendly
dc.type Review
dspace.entity.type Publication
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.type text::review
gdc.collaboration.industrial false
gdc.description.endpage 79570
gdc.description.startpage 79553
gdc.description.volume 30
gdc.identifier.openalex W4380568670
gdc.identifier.pmid 37316628
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 5.0
gdc.oaire.influence 2.558126E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Organizations
gdc.oaire.keywords Commerce
gdc.oaire.keywords Cluster Analysis
gdc.oaire.popularity 5.753798E-9
gdc.oaire.publicfunded false
gdc.openalex.collaboration International
gdc.openalex.fwci 1.4293
gdc.openalex.normalizedpercentile 0.86
gdc.opencitations.count 4
gdc.plumx.mendeley 55
gdc.plumx.newscount 1
gdc.plumx.scopuscites 7
oaire.citation.endPage 79570
oaire.citation.startPage 79553
person.identifier.scopus-author-id Kurita- Antonio Eiti (57371586400), Espuny- Maximilian (57217015562), Campos- Thalita Láua Reis (57217859972), Kazancoglu- Yigit (15848066400), Jayakrishna- K. (42761689800), Oliveira- Otávio José De (57868341400)
project.funder.name This work was supported by CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico) [312538/2020–0] FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo) [2019/08750–5] and CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior).
publicationissue.issueNumber 33
publicationvolume.volumeNumber 30
relation.isOrgUnitOfPublication ac5ddece-c76d-476d-ab30-e4d3029dee37
relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

Files