Publicação
Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling
| Resumo: | The circular economy has emerged as a crucial way for companies to achieve their sustainability goals. Numerous businesses, especially small and medium-sized enterprises (SMEs), are integrating circular-economy projects into their operations. However, this undertaking presents multiple challenges as many managers must grapple with constraints in resources and expertise. This study’s primary objective is to develop a process- oriented decision-making system designed to deal with complex circular-economy scenarios. The proposed analysis system can help SMEs identify the driving forces behind circular-economy principles and evaluate the intricate connections between these determinants, using a unique combination of multiple criteria decision analysis methods (i.e., cognitive mapping, and interpretive structural modeling). Collaborative sessions involving circular-economy experts were instrumental in refining the analysis system, and in-depth discussions with other specialists from the International Labor Organization further enriched this decision-support system. The findings include that circular-economy drivers can be grouped into five clusters: products, processes, policies/regulations, attitudes/behaviors, and communication/awareness. This structured breakdown provides SMEs with the tools to comprehend and address the pivotal factors that shape circular-economy initiatives. This pioneering study thus produced a comprehensive decision-making model attuned to the intricacies of the circular economy while highlighting the benefits of collaborative endeavors involving industry experts and global decision makers. |
|---|---|
| Autores principais: | Oliveira, Pedro |
| Outros Autores: | Ferreira, Fernando; Dabic , Marina; Ferreira, João; Ferreira, Neuza |
| Assunto: | Circular economy Cognitive mapping Interpretive structural modeling (ISM) Small and medium-sized enterprises (SMEs) Sustainability |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Beja |
| Idioma: | inglês |
| Origem: | Repositório Institucional do IPBeja |
| _version_ | 1869070476799639552 |
|---|---|
| author | Oliveira, Pedro |
| author2 | Ferreira, Fernando Dabic , Marina Ferreira, João Ferreira, Neuza |
| author2_role | author author author author |
| author_facet | Oliveira, Pedro Ferreira, Fernando Dabic , Marina Ferreira, João Ferreira, Neuza |
| author_role | author |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Oliveira, Pedro\"},{\"Person.name\":\"Ferreira, Fernando\"},{\"Person.name\":\"Dabic , Marina\"},{\"Person.name\":\"Ferreira, João\"},{\"Person.name\":\"Ferreira, Neuza\"}] |
| datacite.creators.creator.creatorName.fl_str_mv | Oliveira, Pedro Ferreira, Fernando Dabic , Marina Ferreira, João Ferreira, Neuza |
| datacite.date.Accepted.fl_str_mv | 2024-10-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2026-03-13T16:56:57Z |
| datacite.date.embargoed.fl_str_mv | 2026-03-13T16:56:57Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Circular economy Cognitive mapping Interpretive structural modeling (ISM) Small and medium-sized enterprises (SMEs) Sustainability |
| datacite.titles.title.fl_str_mv | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
| dc.creator.none.fl_str_mv | Oliveira, Pedro Ferreira, Fernando Dabic , Marina Ferreira, João Ferreira, Neuza |
| dc.date.Accepted.fl_str_mv | 2024-10-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2026-03-13T16:56:57Z |
| dc.date.embargoed.fl_str_mv | 2026-03-13T16:56:57Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://repositorio.ipbeja.pt/handle/20.500.12207/7257 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Circular economy Cognitive mapping Interpretive structural modeling (ISM) Small and medium-sized enterprises (SMEs) Sustainability |
| dc.title.fl_str_mv | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | The circular economy has emerged as a crucial way for companies to achieve their sustainability goals. Numerous businesses, especially small and medium-sized enterprises (SMEs), are integrating circular-economy projects into their operations. However, this undertaking presents multiple challenges as many managers must grapple with constraints in resources and expertise. This study’s primary objective is to develop a process- oriented decision-making system designed to deal with complex circular-economy scenarios. The proposed analysis system can help SMEs identify the driving forces behind circular-economy principles and evaluate the intricate connections between these determinants, using a unique combination of multiple criteria decision analysis methods (i.e., cognitive mapping, and interpretive structural modeling). Collaborative sessions involving circular-economy experts were instrumental in refining the analysis system, and in-depth discussions with other specialists from the International Labor Organization further enriched this decision-support system. The findings include that circular-economy drivers can be grouped into five clusters: products, processes, policies/regulations, attitudes/behaviors, and communication/awareness. This structured breakdown provides SMEs with the tools to comprehend and address the pivotal factors that shape circular-economy initiatives. This pioneering study thus produced a comprehensive decision-making model attuned to the intricacies of the circular economy while highlighting the benefits of collaborative endeavors involving industry experts and global decision makers. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ripb_414cdbf172bb2faeb12bcef39d66aa8f |
| identifier.url.fl_str_mv | https://repositorio.ipbeja.pt/handle/20.500.12207/7257 |
| inst_facet_str | urn:organizationAcronym:ipb{{{_:::_}}}Instituto Politécnico de Beja |
| instacron_str | ipb |
| institution | Instituto Politécnico de Beja |
| instname_str | Instituto Politécnico de Beja |
| language | eng |
| network_acronym_str | ripb |
| network_name_str | Repositório Institucional do IPBeja |
| oai_identifier_str | oai:repositorio.ipbeja.pt:20.500.12207/7257 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Oliveira, Pedro Ferreira, Fernando Dabic , Marina Ferreira, João Ferreira, Neuza |
| publishDate | 2024 |
| publisher.none.fl_str_mv | Elsevier |
| repo_facet_str | urn:repositoryAcronym:ripb{{{_:::_}}}Repositório Institucional do IPBeja |
| reponame_str | Repositório Institucional do IPBeja |
| repository_id_str | urn:repositoryAcronym:ripb |
| service_str_mv | urn:repositoryAcronym:ripb |
| spelling | The circular economy has emerged as a crucial way for companies to achieve their sustainability goals. Numerous businesses, especially small and medium-sized enterprises (SMEs), are integrating circular-economy projects into their operations. However, this undertaking presents multiple challenges as many managers must grapple with constraints in resources and expertise. This study’s primary objective is to develop a process- oriented decision-making system designed to deal with complex circular-economy scenarios. The proposed analysis system can help SMEs identify the driving forces behind circular-economy principles and evaluate the intricate connections between these determinants, using a unique combination of multiple criteria decision analysis methods (i.e., cognitive mapping, and interpretive structural modeling). Collaborative sessions involving circular-economy experts were instrumental in refining the analysis system, and in-depth discussions with other specialists from the International Labor Organization further enriched this decision-support system. The findings include that circular-economy drivers can be grouped into five clusters: products, processes, policies/regulations, attitudes/behaviors, and communication/awareness. This structured breakdown provides SMEs with the tools to comprehend and address the pivotal factors that shape circular-economy initiatives. This pioneering study thus produced a comprehensive decision-making model attuned to the intricacies of the circular economy while highlighting the benefits of collaborative endeavors involving industry experts and global decision makers.application/pdfengElsevierAnalyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modelingOliveira, PedroFerreira, FernandoDabic , MarinaFerreira, JoãoFerreira, NeuzaURLhttps://repositorio.ipbeja.pt/handle/20.500.12207/7257ISSNIsPartOf0140-9883ISSNIsPartOf1873-61812026-03-13T16:56:57Z2024-10-01T00:00:00Z2024-10http://purl.org/coar/access_right/c_abf2open accessCircular economyCognitive mappingInterpretive structural modeling (ISM)Small and medium-sized enterprises (SMEs)Sustainability5393649 byteshttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ipbeja.pt/bitstreams/b47529f2-840f-4683-8af1-e482f0517f24/downloadliteraturehttp://purl.org/coar/resource_type/c_6501journal article |
| spellingShingle | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling Oliveira, Pedro Circular economy Cognitive mapping Interpretive structural modeling (ISM) Small and medium-sized enterprises (SMEs) Sustainability |
| status | SINGLETON |
| subject.fl_str_mv | Circular economy Cognitive mapping Interpretive structural modeling (ISM) Small and medium-sized enterprises (SMEs) Sustainability |
| title | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
| title_full | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
| title_fullStr | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
| title_full_unstemmed | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
| title_short | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
| title_sort | Analyzing the causal dynamics of circular-economy drivers in SMES using interpretive structural modeling |
| topic | Circular economy Cognitive mapping Interpretive structural modeling (ISM) Small and medium-sized enterprises (SMEs) Sustainability |
| topic_facet | Circular economy Cognitive mapping Interpretive structural modeling (ISM) Small and medium-sized enterprises (SMEs) Sustainability |
| url | https://repositorio.ipbeja.pt/handle/20.500.12207/7257 |
| visible | 1 |