Notice of RetractionAnalysis on collective learning in industrial clusters from the perspective of knowledge recourses

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Industrial cluster provides a good environment to collective learning among cluster members. This paper probes the mechanism of knowledge affecting collective learning based on the characteristics of knowledge resources in the industrial cluster, proposes the content and characteristics of cluster collective learning, analyses the effective paths of constructing the cluster collective learning. Collective learning in industrial clusters helps the accumulation of the knowledge base and the improvement of innovation capacity and thus the competitiveness of the whole cluster will enhance. To ensure the healthy flow of the knowledge industry clusters and competitive advantage in the industrial cluster, it is important to establish the mechanisms of collective learning whose key factors include improving the learning ability of cluster enterprises, creating good atmospheres of cluster learning, building knowledge exchange platform, and improving active policy support and guidance.