A fuzzy multicriteria group decision approach for circular business models prioritization
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Production |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100214 |
Resumo: | Abstract Paper aims Presents a new group decision approach for circular business models (CBMs) prioritization based on circular economy (CE) principles and indicators. Originality It was not found in the literature quantitative approaches to indicate which CBMs can be prioritized towards CE implementation. Research method Fuzzy AHP is applied to calculate the weights of the CE principles. Fuzzy TOPSIS is used to rank the CBMs. A pilot application demonstrates the applicability of the proposed approach. Main findings To perform equally on all dimensions of the circularity indicators, recovery by-products have a greater impact on CE implementation. Focusing on economic indicators, Product as a Service and Recovery By-Products should receive priority. Focusing on social indicators, Product as a Service is the most recommended CBM. Implications for theory and practice It was identified the CBMs that are most suitable for performance improvement regarding CE implementation, according to the organization’s dominant CE principles. |
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A fuzzy multicriteria group decision approach for circular business models prioritizationCircular economyCircular Business ModelsMulti-Criteria Decision MakingFuzzy AHPFuzzy TOPSISAbstract Paper aims Presents a new group decision approach for circular business models (CBMs) prioritization based on circular economy (CE) principles and indicators. Originality It was not found in the literature quantitative approaches to indicate which CBMs can be prioritized towards CE implementation. Research method Fuzzy AHP is applied to calculate the weights of the CE principles. Fuzzy TOPSIS is used to rank the CBMs. A pilot application demonstrates the applicability of the proposed approach. Main findings To perform equally on all dimensions of the circularity indicators, recovery by-products have a greater impact on CE implementation. Focusing on economic indicators, Product as a Service and Recovery By-Products should receive priority. Focusing on social indicators, Product as a Service is the most recommended CBM. Implications for theory and practice It was identified the CBMs that are most suitable for performance improvement regarding CE implementation, according to the organization’s dominant CE principles.Associação Brasileira de Engenharia de Produção2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100214Production v.32 2022reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20220019info:eu-repo/semantics/openAccessArantes,Rafael Ferro MunhozZanon,Lucas GabrielCalache,Lucas Daniel Del RossoBertassini,Ana CarolinaCarpinetti,Luiz César Ribeiroeng2022-06-28T00:00:00Zoai:scielo:S0103-65132022000100214Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2022-06-28T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false |
dc.title.none.fl_str_mv |
A fuzzy multicriteria group decision approach for circular business models prioritization |
title |
A fuzzy multicriteria group decision approach for circular business models prioritization |
spellingShingle |
A fuzzy multicriteria group decision approach for circular business models prioritization Arantes,Rafael Ferro Munhoz Circular economy Circular Business Models Multi-Criteria Decision Making Fuzzy AHP Fuzzy TOPSIS |
title_short |
A fuzzy multicriteria group decision approach for circular business models prioritization |
title_full |
A fuzzy multicriteria group decision approach for circular business models prioritization |
title_fullStr |
A fuzzy multicriteria group decision approach for circular business models prioritization |
title_full_unstemmed |
A fuzzy multicriteria group decision approach for circular business models prioritization |
title_sort |
A fuzzy multicriteria group decision approach for circular business models prioritization |
author |
Arantes,Rafael Ferro Munhoz |
author_facet |
Arantes,Rafael Ferro Munhoz Zanon,Lucas Gabriel Calache,Lucas Daniel Del Rosso Bertassini,Ana Carolina Carpinetti,Luiz César Ribeiro |
author_role |
author |
author2 |
Zanon,Lucas Gabriel Calache,Lucas Daniel Del Rosso Bertassini,Ana Carolina Carpinetti,Luiz César Ribeiro |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Arantes,Rafael Ferro Munhoz Zanon,Lucas Gabriel Calache,Lucas Daniel Del Rosso Bertassini,Ana Carolina Carpinetti,Luiz César Ribeiro |
dc.subject.por.fl_str_mv |
Circular economy Circular Business Models Multi-Criteria Decision Making Fuzzy AHP Fuzzy TOPSIS |
topic |
Circular economy Circular Business Models Multi-Criteria Decision Making Fuzzy AHP Fuzzy TOPSIS |
description |
Abstract Paper aims Presents a new group decision approach for circular business models (CBMs) prioritization based on circular economy (CE) principles and indicators. Originality It was not found in the literature quantitative approaches to indicate which CBMs can be prioritized towards CE implementation. Research method Fuzzy AHP is applied to calculate the weights of the CE principles. Fuzzy TOPSIS is used to rank the CBMs. A pilot application demonstrates the applicability of the proposed approach. Main findings To perform equally on all dimensions of the circularity indicators, recovery by-products have a greater impact on CE implementation. Focusing on economic indicators, Product as a Service and Recovery By-Products should receive priority. Focusing on social indicators, Product as a Service is the most recommended CBM. Implications for theory and practice It was identified the CBMs that are most suitable for performance improvement regarding CE implementation, according to the organization’s dominant CE principles. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100214 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132022000100214 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-6513.20220019 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia de Produção |
dc.source.none.fl_str_mv |
Production v.32 2022 reponame:Production instname:Associação Brasileira de Engenharia de Produção (ABEPRO) instacron:ABEPRO |
instname_str |
Associação Brasileira de Engenharia de Produção (ABEPRO) |
instacron_str |
ABEPRO |
institution |
ABEPRO |
reponame_str |
Production |
collection |
Production |
repository.name.fl_str_mv |
Production - Associação Brasileira de Engenharia de Produção (ABEPRO) |
repository.mail.fl_str_mv |
||production@editoracubo.com.br |
_version_ |
1754213154862137344 |