Value Model of Knowledge Diffusion in High Technology Innovation Networks

Abstract : To measure the influence of knowledge diffusion and information exchange between enterprises on high-tech innovation networks’ production and operation, a production model and innovation model based on a network diffusion process are introduced. The knowledge diffusion process treated as an learning-by-observing process in a random network are influenced both by network’s structure and non-structure properties. We analyze the influence of diffusion process theoretically and find that, if given the precondition that initial belief and belief elasticity follow a normal distribution, an increase in mean of initial belief would lead to increase in PV and IV; otherwise, mean of belief elasticity would have a opposite effect on PV and IV under some different conditions. Finally, we give the condition to compare knowledge diffusions in two high-tech networks with same mean degree but different variance.
Type de document :
Communication dans un congrès
Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.331-339, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_34〉
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01350940
Contributeur : Hal Ifip <>
Soumis le : mardi 2 août 2016 - 11:30:21
Dernière modification le : mercredi 3 août 2016 - 01:03:49
Document(s) archivé(s) le : jeudi 3 novembre 2016 - 17:36:19

Fichier

978-3-642-55355-4_34_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Yu Xiao, Jingti Han. Value Model of Knowledge Diffusion in High Technology Innovation Networks. Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.331-339, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_34〉. 〈hal-01350940〉

Partager

Métriques

Consultations de la notice

165

Téléchargements de fichiers

32