Identifying endogenous and exogenous indicators to measure eco-innovation within clusters
| datacite.rights | http://purl.org/coar/access_right/c_abf2 | spa |
| dc.contributor.author | Mercado-Caruso, Nohora | |
| dc.contributor.author | Segarra-Oña, Marival | |
| dc.contributor.author | Ovallos-Gazabon, David | |
| dc.contributor.author | Peiró-Signes, Angel | |
| dc.date.accessioned | 2020-09-02T17:49:06Z | |
| dc.date.available | 2020-09-02T17:49:06Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | 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 di erent 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 e ect 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. | eng |
| dc.format.mimetype | spa | |
| dc.identifier.doi | doi:10.3390/su12156088 | |
| dc.identifier.issn | 20711050 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12442/6410 | |
| dc.language.iso | eng | eng |
| dc.publisher | MDPI | eng |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | eng |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | eng |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.source | Sustainability | eng |
| dc.source | Vol. 12 N° 15, (2020) | |
| dc.subject | Cluster | eng |
| dc.subject | Competitiveness | eng |
| dc.subject | Eco-innovation | eng |
| dc.subject | Innovation | eng |
| dc.subject | Business performance | eng |
| dc.title | Identifying endogenous and exogenous indicators to measure eco-innovation within clusters | eng |
| dc.type.driver | info:eu-repo/semantics/article | eng |
| dc.type.spa | Artículo científico | spa |
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| oaire.version | info:eu-repo/semantics/publishedVersion | eng |