Research on Collective Learning Mechanism and Influencing Factors of Industrial Cluster Innovation Network

Lan Wang

doi:10.19026/rjaset.5.4783

Abstract

This study attempts to contribute to the cluster innovation literature by adding the collective learning perspective and propose an analytical framework on collective learning of cluster. Industrial cluster is viewed as a prevalent mode for technology innovation in knowledge-based economy. Collective learning outlines how local innovation network and spatial proximity between actors influence the sharing and creation of skills and knowledge in cluster. Firstly, this study discusses the structure and character of innovation network within industrial cluster. Secondly, it analyzes the collective learning mechanism of industrial cluster, which is involves in three dimensions: horizontal learning, vertical learning and multi-angle learning. Then, it focuses on some influencing factors of collective learning within innovation network. Finally, this study analyzes the role of global-local linkages in the dynamic capability of cluster innovation network.

Highlights

Industrial clusters are geographic concentrations of interconnected enterprises and institutions in a particular field (Porter, 1998)
Industrial cluster have received renewed attention in recent years because clusters are today recognized as an important instrument for promoting knowledge creation and innovation
Focal firms use external knowledge to a greater extent than other firms operating in the cluster, by leveraging on their intellectual and social capital, they can act as “technological gatekeepers” for the whole district, enhancing the absorption of new information into the cluster and facilitating its internal dissemination (Alessandro et al, 2007)

Summary

Introduction

Industrial clusters are geographic concentrations of interconnected enterprises and institutions in a particular field (Porter, 1998). Collective learning outlines how local innovation network and spatial proximity between actors influence the sharing and creation of skills and knowledge in cluster innovation network. In industrial cluster, the trust to each other is essential of knowledge transfer in localized learning process.

Results

Conclusion