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Название: Evolutionary Analysis of Knowledge-Based Networks of the Electronic Information Industry from a Dual Innovation Perspective
Авторы: Hao, J.
Li, C.
Khaliq, N.
Yin, Q.
Ullah, M.
Дата публикации: 2023
Издатель: MDPI
Библиографическое описание: 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
Аннотация: 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.
Ключевые слова: DUAL INNOVATION
EVOLUTION
KNOWLEDGE-BASED NETWORK
URI: http://elar.urfu.ru/handle/10995/130272
Условия доступа: info:eu-repo/semantics/openAccess
cc-by
Текст лицензии: https://creativecommons.org/licenses/by/4.0/
Идентификатор SCOPUS: 85149869416
Идентификатор WOS: 000947659000001
Идентификатор PURE: 36190311
ISSN: 2227-7390
DOI: 10.3390/math11051230
Сведения о поддержке: 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.
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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