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

Congying Wang, Bei Hu () and Peng Li
Additional contact information
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

Journal of Information & Knowledge Management (JIKM), 2009, vol. 08, issue 04, 353-361

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.

Keywords: Information fusion method; knowledge spillover; global linkages; local linkages; technology upgrading (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219649209002452
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:jikmxx:v:08:y:2009:i:04:n:s0219649209002452

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219649209002452

Access Statistics for this article

Journal of Information & Knowledge Management (JIKM) is currently edited by Professor Suliman Hawamdeh

More articles in Journal of Information & Knowledge Management (JIKM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().