Home>Results

  • Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

[期刊论文]

Knowledge integration of cluster networks based on grey relational analysis knowledge similarities

Share
Edit Delete 报错

author:

Hong, L. (Hong, L..) [1] | Wenping, W. (Wenping, W..) [2] | Qishan, Z. (Qishan, Z..) [3] | Unfold

Indexed by:

Scopus

Abstract:

About inter-enterprise cooperation and innovation in industrial clusters, a novel knowledge similarity degree based on grey relational analysis is proposed, and a dynamic evolution model of innovation network is proposed considering many kinds of knowledge elements and social factors of the main innovation agent in this paper. In the model, the intrinsic relationship of knowledge integration and innovation network structure are established using multi-agent simulation method. The simulation results show that: industrial clusters innovation network has significantly small world; enterprise knowledge integration capabilities and innovation cooperation develop Jointly. As the cluster network size increases, knowledge integration capabilities of the enterprises are improved, networks become more sparse, the number of inter-enterprise cooperation reduced. Enterprises should actively enhance the innovative and cooperative relations for enhancing the knowledge level effectively, especially in the early stage of cluster development.

Keyword:

Grey relational analysis; Industrial cluster; Innovation network; Knowledge integration

Community:

  • [ 1 ] [Hong, L.]School of Economics and Management, Southeast University Nanjing, China
  • [ 2 ] [Hong, L.]School of Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Wenping, W.]School of Economics and Management, Southeast University Nanjing, China
  • [ 4 ] [Qishan, Z.]School of Management, Fuzhou University, Fuzhou, China
  • [ 5 ] [Youhua, C.]School of Management, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Hong, L.]School of Economics and Management, Southeast University NanjingChina

Show more details

Source :

Journal of Grey System

ISSN: 0957-3720

Year: 2013

Issue: 1

Volume: 25

Page: 12-23

0 . 2 3 9

JCR@2013

1 . 0 0 0

JCR@2023

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 0

30 Days PV: 0

Affiliated Colleges:

Online/Total:126/10111445
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1