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Empirical Study of Knowledge Fusion Process within Chinese High-Tech Industry Clusters Based on Information Fusion Method

Author

Listed:
  • Congying Wang

    (Department of School of Management Huazhong University of Science and Technology, Wuhan 430074, China)

  • Bei Hu

    (Department of School of Management Huazhong University of Science and Technology, Wuhan 430074, China)

  • Peng Li

    (Department of Control Science and Engineering Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

In order to consider the future development of high-tech industry clusters, this paper applies an evolution perspective to look into the knowledge integration process from both local and global knowledge linkages of entrepreneurs within the industry cluster. This paper has established a model to explore the entrepreneur's knowledge spillover and diffusion process which promotes the high-technology industry cluster's technology upgrading. Analysis is based on data from questionnaires and interviews with 182 entrepreneurs in the Dongwan software high-tech industry cluster of Guangdong, China. Using the information fusion method the study analyses the distinction of high-tech industry clusters between developing countries and developed countries based on the survey, and found that the knowledge integration process has tremendous influence on industry cluster development, and the co-existence of both high levels of local and global knowledge linkages can greatly affect entrepreneur development and the possibility for the cluster to undertake transformation.

Suggested Citation

  • Congying Wang & Bei Hu & Peng Li, 2009. "Empirical Study of Knowledge Fusion Process within Chinese High-Tech Industry Clusters Based on Information Fusion Method," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 353-361.
    • Handle: RePEc:wsi:jikmxx:v:08:y:2009:i:04:n:s0219649209002452
    DOI: 10.1142/S0219649209002452
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