2019
DOI: 10.1504/ijkbd.2019.098227
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Areas of innovation in cities: the evolution of 22@Barcelona

Abstract: Areas of innovation (AOIs) are on the agenda of urban planners in the revitalisation of inner cities. The knowledge-based economy provides the opportunity to base these revitalisation efforts in creating AOIs as an evolution of the old industrial districts. Grounded in key conceptual frameworks in this research field-triple helix model, knowledge-based urban development paradigm, clusters of innovation framework, co-evolutionary theory, learning region theory and lifecycle of a new venture-as a reference, this… Show more

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Cited by 17 publications
(26 citation statements)
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References 43 publications
(61 reference statements)
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“…Therefore, we consider that the ecosystem evolves through the stages proposed by Piqué et al (2019): inception, launching, growth and maturity. In the inception stage, actors and resources are spread and demobilized.…”
Section: Life Cycle Of Innovation Ecosystemsmentioning
confidence: 99%
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“…Therefore, we consider that the ecosystem evolves through the stages proposed by Piqué et al (2019): inception, launching, growth and maturity. In the inception stage, actors and resources are spread and demobilized.…”
Section: Life Cycle Of Innovation Ecosystemsmentioning
confidence: 99%
“…The concept of life cycle of innovation ecosystems can be understood to be analogous to the biological systems in which the species born, develop and die. However, the stream of research in innovation ecosystems has modestly explored the theme of life cycle (Rabelo & Bernus, 2015; Piqué et al , 2019). Therefore, to search for models dealing with the stages of the ecosystem life cycle, we considered the connection of this theme with the field of studies on geographic agglomerations (Spigel, & Harrison, 2018), such as clusters (Menzel & Fornahl, 2010), entrepreneurial ecosystems (Cantner et al , 2020) and business ecosystems (Moore, 1993).…”
Section: Geographically Bounded Innovation Ecosystem and Its Life Cyclementioning
confidence: 99%
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