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

Xu Haiyun; Wang Chao; Dong Kun; Luo Rui; Yue Zenghui; Pang Hongshen

doi:10.2478/jdis-2018-0008

Journal of Data and Information Science (Jun 2018)

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

Xu Haiyun,
Wang Chao,
Dong Kun,
Luo Rui,
Yue Zenghui,
Pang Hongshen

Affiliations

Xu Haiyun: Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu, 610041, China
Wang Chao: Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu, 610041, China
Dong Kun: Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu, 610041, China
Luo Rui: Chengdu Documentation and Information Center, Chinese Academy of Sciences, Chengdu, 610041, China
Yue Zenghui: School of Medical Information Engineering, Jining Medical University, Rizhao, 276826, China
Pang Hongshen: Library, Shenzhen University, Shenzhen, 518060, China

DOI: https://doi.org/10.2478/jdis-2018-0008
Journal volume & issue: Vol. 3, no. 2
pp. 38 – 61

Abstract

Read online

This study aims at identifying potential industry-university-research collaboration (IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.

Published in Journal of Data and Information Science

ISSN: 2096-157X (Print); 2543-683X (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://sciendo.com/journal/JDIS

About the journal

Abstract

Keywords