Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters

Scientific and business environment literature shows that green, sustainable innovation or eco-innovation has proven to be a source of competitive advantage today. The industrial clusters, their dynamism, and the synergies created within them attract a lot of attention from the scientific community....

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Autores:
Mercado Caruso, Nohora Nubia
Segarra-Oña, Marival
Ovallos, David
PEIRO-SIGNES, ANGEL
Tipo de recurso:
Article of journal
Fecha de publicación:
2020
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/8040
Acceso en línea:
https://hdl.handle.net/11323/8040
https://doi.org/10.3390/su12156088
https://repositorio.cuc.edu.co/
Palabra clave:
Cluster
Competitiveness
Eco-innovation
Innovation
Business performance
Rights
openAccess
License
CC0 1.0 Universal
id RCUC2_a2a0ab3deb03073e82d3785e3065a693
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repository_id_str
dc.title.spa.fl_str_mv Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
title Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
spellingShingle Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
Cluster
Competitiveness
Eco-innovation
Innovation
Business performance
title_short Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
title_full Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
title_fullStr Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
title_full_unstemmed Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
title_sort Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
dc.creator.fl_str_mv Mercado Caruso, Nohora Nubia
Segarra-Oña, Marival
Ovallos, David
PEIRO-SIGNES, ANGEL
dc.contributor.author.spa.fl_str_mv Mercado Caruso, Nohora Nubia
Segarra-Oña, Marival
Ovallos, David
PEIRO-SIGNES, ANGEL
dc.subject.spa.fl_str_mv Cluster
Competitiveness
Eco-innovation
Innovation
Business performance
topic Cluster
Competitiveness
Eco-innovation
Innovation
Business performance
description Scientific and business environment literature shows that green, sustainable innovation or eco-innovation has proven to be a source of competitive advantage today. The industrial clusters, their dynamism, and the synergies created within them attract a lot of attention from the scientific community. However, to date, the joint study of these two concepts and, more specifically, the factors that drive eco-innovation specifically in a cluster, have not been studied in depth. This article models eco-innovation in industrial clusters, thus addressing this gap and proposing a model based on information gathered from the literature and a detailed analysis of behavior in relation to eco-innovation in different sectors. Results suggest that including eco-innovation variables and measures may have positive implications such as improvements at the strategic level and the reduction of costs and use of resources. An eco-innovation model for clusters is proposed. It considers eight key factors that seek to raise its competitive level by promoting eco-innovation within clusters. The model includes five internal factors that analyze business capabilities and three external factors that study the effect of launching eco-innovative activities. This model could help the companies’ managers and those responsible for clusters in creating more successful strategies to increase competitiveness by enhancing eco-innovation. It could also serve as a guide for government entities in the performance of eco-innovative activities in economic sectors
publishDate 2020
dc.date.issued.none.fl_str_mv 2020-07-29
dc.date.accessioned.none.fl_str_mv 2021-03-18T13:07:10Z
dc.date.available.none.fl_str_mv 2021-03-18T13:07:10Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.issn.spa.fl_str_mv 20711050
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/8040
dc.identifier.doi.spa.fl_str_mv https://doi.org/10.3390/su12156088
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
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Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/8040
https://doi.org/10.3390/su12156088
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dc.language.iso.none.fl_str_mv eng
language eng
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spelling Mercado Caruso, Nohora NubiaSegarra-Oña, MarivalOvallos, DavidPEIRO-SIGNES, ANGEL2021-03-18T13:07:10Z2021-03-18T13:07:10Z2020-07-2920711050https://hdl.handle.net/11323/8040https://doi.org/10.3390/su12156088Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Scientific and business environment literature shows that green, sustainable innovation or eco-innovation has proven to be a source of competitive advantage today. The industrial clusters, their dynamism, and the synergies created within them attract a lot of attention from the scientific community. However, to date, the joint study of these two concepts and, more specifically, the factors that drive eco-innovation specifically in a cluster, have not been studied in depth. This article models eco-innovation in industrial clusters, thus addressing this gap and proposing a model based on information gathered from the literature and a detailed analysis of behavior in relation to eco-innovation in different sectors. Results suggest that including eco-innovation variables and measures may have positive implications such as improvements at the strategic level and the reduction of costs and use of resources. An eco-innovation model for clusters is proposed. It considers eight key factors that seek to raise its competitive level by promoting eco-innovation within clusters. The model includes five internal factors that analyze business capabilities and three external factors that study the effect of launching eco-innovative activities. This model could help the companies’ managers and those responsible for clusters in creating more successful strategies to increase competitiveness by enhancing eco-innovation. It could also serve as a guide for government entities in the performance of eco-innovative activities in economic sectorsMercado Caruso, Nohora Nubia-will be generated-orcid-0000-0001-9261-8331-600Segarra-Oña, Marival-will be generated-orcid-0000-0001-9674-9056-600Ovallos, David-will be generated-orcid-0000-0003-0836-2287-600PEIRO-SIGNES, ANGEL-will be generated-orcid-0000-0002-1549-6972-600application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Sustainability (Switzerland)https://www.mdpi.com/2071-1050/12/15/6088ClusterCompetitivenessEco-innovationInnovationBusiness performanceIdentifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within ClustersArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersion1. 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Policy 2003, 32, 333–350PublicationORIGINALIdentifying endogenous and exogenous indicators to measure eco-innovation within clusters.pdfIdentifying endogenous and exogenous indicators to measure eco-innovation within clusters.pdfapplication/pdf1045547https://repositorio.cuc.edu.co/bitstreams/44a7f334-fb56-46b1-a62d-80262587f6bb/downloada0475c938efae99bf35acaf640159487MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/86d311a5-ecfa-4129-a902-1b627e5db677/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/85159f8a-cb7d-426f-b251-16d83e7a842c/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILIdentifying endogenous and exogenous indicators to measure eco-innovation within clusters.pdf.jpgIdentifying endogenous and exogenous indicators to measure eco-innovation within 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