Research on Self-Organization Evolution Mechanism of Knowledge Capital in High-Tech Virtual Industry Cluster

Chang-yuan Gao () and Xiao-yan He
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Chang-yuan Gao: Harbin University of Science and Technology
Xiao-yan He: Harbin University of Science and Technology

Chapter Chapter 1 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 1-7 from Springer

Abstract: Abstract The main purpose of this paper is to find a way to develop high-tech virtual industry cluster (HTVIC). Considering HTVIC knowledge capital (HKC) as the order parameter, the paper establishes a self-organization model for HKC and analyzes its evolution rules based on potential function by self-organization theory. Lastly, the research draws a conclusion that HKC is a self-organization system and evolves from a disordered state to an ordered state, and even to a more orderly state to realize transition. Therefore, the institution regulation should be set up to reinforce the evolutionary order of HKC, so as to promote the development of HTVIC.

Keywords: HKC; HTVIC; Potential function; Self-organization (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38427-1_1

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DOI: 10.1007/978-3-642-38427-1_1

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