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author:

Cai, Bin-Qing (Cai, Bin-Qing.) [1] | Huang, Xin-Huan (Huang, Xin-Huan.) [2] | Chen, Guo-Hong (Chen, Guo-Hong.) [3] (Scholars:陈国宏)

Indexed by:

EI Scopus

Abstract:

Based on Organization Evolution Theory knowledge diffusion performance of innovation network is studied from the perspective of environmental choice and organization adaptation in our work. A new knowledge diffusion model based on multi-agent simulation is put forward to solve the defects of the existing ones without regard to how competition-cooperation degree between agents and different organization learning patterns jointly impact on knowledge diffusion of innovation network. A series of conclusions are obtained through simulation experiments. These conclusions are verified by the longitudinal development of Liushi innovation network for low-voltage apparatus. © 2017 Taru Publications.

Keyword:

Knowledge management Multi agent systems

Community:

  • [ 1 ] [Cai, Bin-Qing]School of Management, Fujian University of Technology, Fuzhou; 350118, China
  • [ 2 ] [Huang, Xin-Huan]School of Economics, Fujian Normal University, Fuzhou; 350117, China
  • [ 3 ] [Chen, Guo-Hong]School of Economics and Management, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • [huang, xin-huan]school of economics, fujian normal university, fuzhou; 350117, china

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Source :

Journal of Discrete Mathematical Sciences and Cryptography

ISSN: 0972-0529

Year: 2017

Issue: 6-7

Volume: 20

Page: 1541-1549

1 . 2 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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