Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management

The Empirical Research on Knowledge Diffusion Mechanisms in Global Production Networks

Authors
Jinbo Wang
Corresponding Author
Jinbo Wang
Available Online December 2013.
DOI
10.2991/asshm-13.2013.32How to use a DOI?
Keywords
Global Production Networks, Knowledge Diffusion Mechanisms, Empirical Research.
Abstract

Knowledge diffusion mechanism in the global production networks(GPNs) is a model for the dissemination of knowledge in the networks. With such backgrounds, based on 143 samples of Chinese manufacturing firms, it carries out the empirical research on Knowledge Diffusion Mechanisms in Global Produc-tion Networks, and the results show that: those firms which embedded in GPNs should be familiar with knowledge diffu-sion model and channels in GPNs as soon as possible, so they can get much knowledge from GPNs.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
Series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
10.2991/asshm-13.2013.32
ISSN
1951-6851
DOI
10.2991/asshm-13.2013.32How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jinbo Wang
PY  - 2013/12
DA  - 2013/12
TI  - The Empirical Research on Knowledge Diffusion Mechanisms in Global Production Networks
BT  - Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
PB  - Atlantis Press
SP  - 177
EP  - 182
SN  - 1951-6851
UR  - https://doi.org/10.2991/asshm-13.2013.32
DO  - 10.2991/asshm-13.2013.32
ID  - Wang2013/12
ER  -