Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)

The Systematic Features and Self-organizing Attribute of University Industry Collaborative Innovation

Authors
Yuan Fang, Jiang Wei
Corresponding Author
Yuan Fang
Available Online June 2016.
DOI
https://doi.org/10.2991/icemc-17.2017.172How to use a DOI?
Keywords
Collaborative; Innovation; Self-Organizing
Abstract

This paper analyzed the systematic features and self-organizing attribute of the cooperative innovation system of university industry. It introduced self-organization attribute of university industry cooperative innovation. It proposed some problem in industry university research institution cooperative innovation and prospected the definition of the innovation system of industry university research institution cooperative innovation. The research has an important theoretical and practical significance to provide effective plans for the government, universities, research institutions and enterprises related departments.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
Series
Advances in Computer Science Research
Publication Date
June 2016
ISBN
978-94-6252-372-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/icemc-17.2017.172How to use a DOI?
Copyright
© 2017, 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  - Yuan Fang
AU  - Jiang Wei
PY  - 2016/06
DA  - 2016/06
TI  - The Systematic Features and Self-organizing Attribute of University Industry Collaborative Innovation
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 853
EP  - 857
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.172
DO  - https://doi.org/10.2991/icemc-17.2017.172
ID  - Fang2016/06
ER  -