Evolutionary Analysis of Knowledge-Based Networks of the Electronic Information Industry from a Dual Innovation Perspective
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
| Заглавие |
Evolutionary Analysis of Knowledge-Based Networks of the Electronic Information Industry from a Dual Innovation Perspective
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| Автор |
Hao, J.
Li, C. Khaliq, N. Yin, Q. Ullah, M. |
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| Тематика |
DUAL INNOVATION
EVOLUTION KNOWLEDGE-BASED NETWORK |
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| Описание |
It provides specific theoretical guidance to enhance the enterprise’s independent innovation capabilities by studying the knowledge utilization and the evolution of innovation under different innovation strategies and revealing the law of innovation path. Based on the data of invention patents of 579 electronic information enterprises from 2010 to 2019, this paper constructs a knowledge-based network based on social network analysis to study the evolution process of density, centrality, and structural holes of knowledge. The evolution analysis of 3360 knowledge-based networks shows that the electronic information industry’s overall knowledge integration capacity is in the middle and lower reaches. The widespread knowledge reliance in the electronic information industry is small, the industry is out of the ‘capacity traps’, and diversified development has gradually become a trend. At the same time, cross-domain knowledge reorganization is increasing. The results show that the overall knowledge reliance degree of enterprises applying an exploitative innovation strategy is deeper than that of enterprises applying an exploratory innovation strategy. The knowledge integration capabilities and cross-domain knowledge reorganization capabilities of enterprises applying exploratory innovation strategies are higher than those of enterprises applying exploitative innovation strategy. © 2023 by the authors.
JJ2218; HB22YJ010; National Office for Philosophy and Social Sciences, NPOPSS: 21BSH052 This research was funded by the Major Research Project of Humanities and Social Sciences of HeBei Provincial Department of Education Funding, grant number ZD201904; the Social Science Foundation of Hebei Province, grant number HB22YJ010; the National Social Science Fund of China, grant number 21BSH052; and the Regional Economic Development Research Center of Yanshan University, grant number JJ2218. |
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| Дата |
2024-04-05T16:17:29Z
2024-04-05T16:17:29Z 2023 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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| Идентификатор |
Hao, J, Li, C, Khaliq, N, Yin, Q & Ullah, M 2023, 'Evolutionary Analysis of Knowledge-Based Networks of the Electronic Information Industry from a Dual Innovation Perspective', Mathematics, Том. 11, № 5, 1230. https://doi.org/10.3390/math11051230
Hao, J., Li, C., Khaliq, N., Yin, Q., & Ullah, M. (2023). Evolutionary Analysis of Knowledge-Based Networks of the Electronic Information Industry from a Dual Innovation Perspective. Mathematics, 11(5), [1230]. https://doi.org/10.3390/math11051230 2227-7390 Final All Open Access, Gold https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149869416&doi=10.3390%2fmath11051230&partnerID=40&md5=dcf0441bdb1470cf106d1addd8791ff8 https://www.mdpi.com/2227-7390/11/5/1230/pdf?version=1677823153 http://elar.urfu.ru/handle/10995/130272 10.3390/math11051230 85149869416 000947659000001 |
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| Язык |
en
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| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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| Формат |
application/pdf
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| Издатель |
MDPI
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| Источник |
Mathematics
Mathematics |
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