Open Access

A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory

Haiyun Xu

Haiyun Xu

  • Chengdu Documentation and Information Center, Chinese Academy of SciencesChengdu, China
  • Institute of Scientific and Technical Information of ChinaBeijing, China
Search for this author on
Sciendo|Google Scholar
Xu, Haiyun
, 
Chao Wang

Chao Wang

  • Chengdu Documentation and Information Center, Chinese Academy of SciencesChengdu, China
  • University of Chinese Academy of SciencesBeijing, China
Search for this author on
Sciendo|Google Scholar
Wang, Chao
, 
Kun Dong

Kun Dong

  • Chengdu Documentation and Information Center, Chinese Academy of SciencesChengdu, China
  • University of Chinese Academy of SciencesBeijing, China
Search for this author on
Sciendo|Google Scholar
Dong, Kun
, 
Rui Luo

Rui Luo

  • Chengdu Documentation and Information Center, Chinese Academy of SciencesChengdu, China
  • University of Chinese Academy of SciencesBeijing, China
Search for this author on
Sciendo|Google Scholar
Luo, Rui
, 
Zenghui Yue

Zenghui Yue

School of Medical Information Engineering, Jining Medical UniversityRizhao, China
Search for this author on
Sciendo|Google Scholar
Yue, Zenghui
 and 
Hongshen Pang

Hongshen Pang

Library, Shenzhen UniversityShenzhen, China
Search for this author on
Sciendo|Google Scholar
Pang, Hongshen
  
Jun 22, 2018
A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory's Cover Image
About this article
Previous Article
Next Article
Cite
Download Cover
Article Category: Research Paper
Published Online: Jun 22, 2018
Page range: 38 - 61
Received: Nov 17, 2017
Accepted: May 03, 2018
DOI: https://doi.org/10.2478/jdis-2018-0008
Keywords
© 2018 Walter de Gruyter GmbH, Berlin/Boston, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
Journal RSS Feed