The power of knowledge: unraveling the influence of knowledge characteristics on inter-firm patent transfers.
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| Title: | The power of knowledge: unraveling the influence of knowledge characteristics on inter-firm patent transfers. |
|---|---|
| Authors: | Ma, Ding1 (AUTHOR) mading@whut.edu.cn, Cai, Zhishan2 (AUTHOR) caizhishan@cqu.edu.cn |
| Source: | Journal of Technology Transfer. Jun2026, Vol. 51 Issue 3, p1820-1851. 32p. |
| Subjects: | Knowledge transfer, Intellectual property, Random graphs, Electric vehicle industry |
| Geographic Terms: | China |
| Abstract: | Inter-firm patent transfers dominate overall patent transactions, yet relevant research remains limited, particularly regarding the essence of patent transfers, i.e., knowledge flow. This study provides a pilot exploration of the impact of firms' multidimensional knowledge characteristics on inter-firm patent transfers, distinguishing between different industry stages and firm roles as suppliers or recipients. Knowledge characteristics are classified into the structural features of firms' knowledge elements (degree and betweenness centrality) and the attributes of firms' knowledge stock (scale and diversity). Using patent data from China's new energy vehicle industry (2012–2021), we constructed patent transfer and knowledge combination networks to quantify these characteristics and applied exponential random graph models (ERGM) to analyze their stage-specific effects on firms' tendencies to transfer or acquire patents. The results reveal differential impacts across industry stages. In the initial stage, firms with intermediary knowledge elements tend to engage in patent transfer. The degree centrality of firm's knowledge elements negatively impacts firms' patent transfer propensity, while knowledge diversity inhibits firms from acquiring patents. In the development stage, the scale of knowledge stock increase patent transfer likelihood whereas betweenness centrality of firm's knowledge elements demonstrates inhibitory effects. Firms possessing high-degree centrality knowledge elements prefer to provide patents, while firms with diverse knowledge elements are inclined to acquire patents. This study offers insights for firms to optimize resource allocation and for policymakers to enhance the vitality of patent transfer markets. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Technology Transfer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 194776580 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The power of knowledge: unraveling the influence of knowledge characteristics on inter-firm patent transfers. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ma%2C+Ding%22">Ma, Ding</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mading@whut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cai%2C+Zhishan%22">Cai, Zhishan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> caizhishan@cqu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Technology+Transfer%22">Journal of Technology Transfer</searchLink>. Jun2026, Vol. 51 Issue 3, p1820-1851. 32p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Knowledge+transfer%22">Knowledge transfer</searchLink><br /><searchLink fieldCode="DE" term="%22Intellectual+property%22">Intellectual property</searchLink><br /><searchLink fieldCode="DE" term="%22Random+graphs%22">Random graphs</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+vehicle+industry%22">Electric vehicle industry</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Inter-firm patent transfers dominate overall patent transactions, yet relevant research remains limited, particularly regarding the essence of patent transfers, i.e., knowledge flow. This study provides a pilot exploration of the impact of firms' multidimensional knowledge characteristics on inter-firm patent transfers, distinguishing between different industry stages and firm roles as suppliers or recipients. Knowledge characteristics are classified into the structural features of firms' knowledge elements (degree and betweenness centrality) and the attributes of firms' knowledge stock (scale and diversity). Using patent data from China's new energy vehicle industry (2012–2021), we constructed patent transfer and knowledge combination networks to quantify these characteristics and applied exponential random graph models (ERGM) to analyze their stage-specific effects on firms' tendencies to transfer or acquire patents. The results reveal differential impacts across industry stages. In the initial stage, firms with intermediary knowledge elements tend to engage in patent transfer. The degree centrality of firm's knowledge elements negatively impacts firms' patent transfer propensity, while knowledge diversity inhibits firms from acquiring patents. In the development stage, the scale of knowledge stock increase patent transfer likelihood whereas betweenness centrality of firm's knowledge elements demonstrates inhibitory effects. Firms possessing high-degree centrality knowledge elements prefer to provide patents, while firms with diverse knowledge elements are inclined to acquire patents. This study offers insights for firms to optimize resource allocation and for policymakers to enhance the vitality of patent transfer markets. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Technology Transfer is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10961-025-10248-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 32 StartPage: 1820 Subjects: – SubjectFull: Knowledge transfer Type: general – SubjectFull: Intellectual property Type: general – SubjectFull: Random graphs Type: general – SubjectFull: Electric vehicle industry Type: general – SubjectFull: China Type: general Titles: – TitleFull: The power of knowledge: unraveling the influence of knowledge characteristics on inter-firm patent transfers. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Ding – PersonEntity: Name: NameFull: Cai, Zhishan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 08929912 Numbering: – Type: volume Value: 51 – Type: issue Value: 3 Titles: – TitleFull: Journal of Technology Transfer Type: main |
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