Industry–university–research knowledge flow in energy subjects: evolution of network structure in collaborative photovoltaic innovations
This data report collected photovoltaic patents under the Industry-University-Research (IUR) collaborative innovation perspective. The evolution of the collaborative innovation network from 2000 to 2019 was studied. The characteristics of patent holders and overall network characteristics was analys...
المؤلفون الرئيسيون: | , , |
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التنسيق: | مقال |
اللغة: | English |
منشور في: |
Frontiers Media S.A.
2023-06-01
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سلاسل: | Frontiers in Energy Research |
الموضوعات: | |
الوصول للمادة أونلاين: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1198998/full |
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author | Wuyin Yan Hui Liu Baijun Han |
author_facet | Wuyin Yan Hui Liu Baijun Han |
author_sort | Wuyin Yan |
collection | DOAJ |
description | This data report collected photovoltaic patents under the Industry-University-Research (IUR) collaborative innovation perspective. The evolution of the collaborative innovation network from 2000 to 2019 was studied. The characteristics of patent holders and overall network characteristics was analysed based on Social Network Analysis (SNA), including network size and degree, network density, and network degree centrality. The SNA results show that the network size and degree have increased significantly over time. The network density has become increasingly sparse as PV technology has developed and the number of core network members has increased. Universities and research institutions is gradually shown its clustering role in leading innovations and discipline construction. H01L is the leading knowledge domains studied by the industry, university, and research institutions. F24J and F24S were the second most frequently involved knowledge domains in each stage. Furthermore, two noteworthy knowledge domains are H02J and H02S, which are related to control and regulation of power systems. This analysis provides insights into the energy subjects and knowledge domains within collaborative innovations and education. |
first_indexed | 2024-03-13T03:38:30Z |
format | Article |
id | doaj.art-703fcea1daf34edfb2f6bb6b51bb93c0 |
institution | Directory Open Access Journal |
issn | 2296-598X |
language | English |
last_indexed | 2024-03-13T03:38:30Z |
publishDate | 2023-06-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Energy Research |
spelling | doaj.art-703fcea1daf34edfb2f6bb6b51bb93c02023-06-23T13:23:50ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-06-011110.3389/fenrg.2023.11989981198998Industry–university–research knowledge flow in energy subjects: evolution of network structure in collaborative photovoltaic innovationsWuyin Yan0Hui Liu1Baijun Han2School of Education, Guangzhou University, Guangzhou, ChinaSchool of Education, Guangzhou University, Guangzhou, ChinaSchool of Continuing, Wenzhou Business College, Wenzhou, ChinaThis data report collected photovoltaic patents under the Industry-University-Research (IUR) collaborative innovation perspective. The evolution of the collaborative innovation network from 2000 to 2019 was studied. The characteristics of patent holders and overall network characteristics was analysed based on Social Network Analysis (SNA), including network size and degree, network density, and network degree centrality. The SNA results show that the network size and degree have increased significantly over time. The network density has become increasingly sparse as PV technology has developed and the number of core network members has increased. Universities and research institutions is gradually shown its clustering role in leading innovations and discipline construction. H01L is the leading knowledge domains studied by the industry, university, and research institutions. F24J and F24S were the second most frequently involved knowledge domains in each stage. Furthermore, two noteworthy knowledge domains are H02J and H02S, which are related to control and regulation of power systems. This analysis provides insights into the energy subjects and knowledge domains within collaborative innovations and education.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1198998/fulluniversitysubjectpatentssocial network analysisenergyIPC |
spellingShingle | Wuyin Yan Hui Liu Baijun Han Industry–university–research knowledge flow in energy subjects: evolution of network structure in collaborative photovoltaic innovations Frontiers in Energy Research university subject patents social network analysis energy IPC |
title | Industry–university–research knowledge flow in energy subjects: evolution of network structure in collaborative photovoltaic innovations |
title_full | Industry–university–research knowledge flow in energy subjects: evolution of network structure in collaborative photovoltaic innovations |
title_fullStr | Industry–university–research knowledge flow in energy subjects: evolution of network structure in collaborative photovoltaic innovations |
title_full_unstemmed | Industry–university–research knowledge flow in energy subjects: evolution of network structure in collaborative photovoltaic innovations |
title_short | Industry–university–research knowledge flow in energy subjects: evolution of network structure in collaborative photovoltaic innovations |
title_sort | industry university research knowledge flow in energy subjects evolution of network structure in collaborative photovoltaic innovations |
topic | university subject patents social network analysis energy IPC |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1198998/full |
work_keys_str_mv | AT wuyinyan industryuniversityresearchknowledgeflowinenergysubjectsevolutionofnetworkstructureincollaborativephotovoltaicinnovations AT huiliu industryuniversityresearchknowledgeflowinenergysubjectsevolutionofnetworkstructureincollaborativephotovoltaicinnovations AT baijunhan industryuniversityresearchknowledgeflowinenergysubjectsevolutionofnetworkstructureincollaborativephotovoltaicinnovations |