
doi: 10.2139/ssrn.1261972
The academic interest in innovation clusters and networks has given rise to a vast stream of works in recent years. Besides defining the notions of clusters and innovation clusters or networks, a core topic within the literature relates to the analysis of the logics underlying the emergence, the structuring and the evolution of innovative activities within various geographic areas. But despite the large amount of efforts deployed, there are no consensual views amongst academics on various conceptual and analytical key issues, especially as regarding the spatial/geographical boundaries of an innovation cluster and the nature and intensity of the actors interaction that characterize it. The whole picture is also blurred as a persistent "disciplinary segregation" prevent from integrating the most valuable and converging insights that could be drawn from various yet complementary social sciences perspectives. The paper offers a critical survey of the most visible pieces of the literature and suggests some possible pathways for a better grounding for the analysis of clustering and networking phenomena within innovative or creative fields.
Innovation Clusters; “Multi-scaled Networks”; Emergence and Structuring Processes; Spatial Scales, jel: jel:R10, jel: jel:P00
Innovation Clusters; “Multi-scaled Networks”; Emergence and Structuring Processes; Spatial Scales, jel: jel:R10, jel: jel:P00
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
