Value Model of Knowledge Diffusion in High Technology Innovation Networks - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2014

Value Model of Knowledge Diffusion in High Technology Innovation Networks

Résumé

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.
Fichier principal
Vignette du fichier
978-3-642-55355-4_34_Chapter.pdf (4 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01350940 , version 1 (02-08-2016)

Licence

Paternité

Identifiants

Citer

Yu Xiao, Jingti Han. Value Model of Knowledge Diffusion in High Technology Innovation Networks. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. pp.331-339, ⟨10.1007/978-3-642-55355-4_34⟩. ⟨hal-01350940⟩
139 Consultations
55 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More