<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_jdis-2018-0008_s_006_w2aab3b7b3b1b6b1aab1c17b1Aa"><h3>Purpose</h3><p>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.</p></sec><sec id="j_jdis-2018-0008_s_007_w2aab3b7b3b1b6b1aab1c17b2Aa"><h3>Design/methodology/approach</h3><p>The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.</p></sec><sec id="j_jdis-2018-0008_s_008_w2aab3b7b3b1b6b1aab1c17b3Aa"><h3>Findings</h3><p>Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.</p></sec><sec id="j_jdis-2018-0008_s_009_w2aab3b7b3b1b6b1aab1c17b4Aa"><h3>Research limitations</h3><p>In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.</p></sec><sec id="j_jdis-2018-0008_s_010_w2aab3b7b3b1b6b1aab1c17b5Aa"><h3>Practical implications</h3><p>Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.</p></sec><sec id="j_jdis-2018-0008_s_011_w2aab3b7b3b1b6b1aab1c17b6Aa"><h3>Originality/value</h3><p>Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.</p></sec></abstract>

PurposeThis 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.Design/methodology/approachThe method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.FindingsEmpirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitationsIn this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.Practical implicationsIndustry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.Originality/valueCompared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value.

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

Chengdu Documentation and Information Center

School of Medical Information Engineering

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

PurposeThis study aims at identifying potential industry-university-research collaboration (IURC) partners effectively and analyzes the conditions and dynamics...

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

Article Category: Research Paper

Online veröffentlicht: 22. Juni 2018

Seitenbereich: 38 - 61

Eingereicht: 17. Nov. 2017

Akzeptiert: 03. Mai 2018

DOI: https://doi.org/10.2478/jdis-2018-0008

Schlüsselwörter
Institutions collaboration, Collaboration network, Innovation chain, Industrial chain, Industry-university-research institutions

© 2018 Walter de Gruyter GmbH, Berlin/Boston, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Article Category: Research Paper

Online veröffentlicht: 22. Juni 2018

Seitenbereich: 38 - 61

Eingereicht: 17. Nov. 2017

Akzeptiert: 03. Mai 2018

DOI: https://doi.org/10.2478/jdis-2018-0008

SchlüsselwörterInstitutions collaboration, Collaboration network, Innovation chain, Industrial chain, Industry-university-research institutions

© 2018 Walter de Gruyter GmbH, Berlin/Boston, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Institutions collaboration, Collaboration network, Innovation chain, Industrial chain, Industry-university-research institutions