Identifying Endogenous and Exogenous Indicators to Measure Eco-Innovation within Clusters
Artículo de revista
2020-07-29
Corporación Universidad de la Costa
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
- Artículos científicos [3120]
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Identifying endogenous and exogenous indicators to measure eco-innovation within clusters.pdf
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Título: Identifying endogenous and exogenous indicators to measure eco-innovation within clusters.pdf
Tamaño: 1021.Kb
PDFLEER EN FLIP
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