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author:

Cai, B.-Q. (Cai, B.-Q..) [1] | Huang, X.-H. (Huang, X.-H..) [2] | Chen, G.-H. (Chen, G.-H..) [3]

Indexed by:

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:

Agent adaptation; Environmental selection; Innovation network; Knowledge diffusion

Community:

  • [ 1 ] [Cai, B.-Q.]School of Management, Fujian University of Technology, Fuzhou, 350118, China
  • [ 2 ] [Huang, X.-H.]School of Economics, Fujian Normal University, Fuzhou, 350117, China
  • [ 3 ] [Chen, G.-H.]School of Economics and Management, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address:

  • [Huang, X.-H.]School of Economics, Fujian Normal UniversityChina

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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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