Evidence map›Paper›PMID 39443552›Full record

ArticleScientific reports2024

Intellectual property protection as catalyst for radical technological innovation in national research program teams through innovation milieu and group potentials.

Jianhui Yin, Wei Chen, Feiyan Wang, Kaixin Wu, Luan Gao, Haixu Shang

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jianhui YinEast University of Heilongjiang, Harbin, 150066, China. 23002005hljeu@edu.cn.
Wei ChenEast University of Heilongjiang, Harbin, 150066, China. weichen666@126.com.
Feiyan WangUniversity of Science and Technology of China, Hefei, 230026, China.
Kaixin WuEast University of Heilongjiang, Harbin, 150066, China.
Luan GaoHarbin Engineering University, Harbin, 150001, China.
Haixu ShangEast University of Heilongjiang, Harbin, 150066, China.

Funding

the Harbin Science and Technology Bureau Science and Technology Programme Projects of China ZC2023ZJ014007the Heilongjiang Oriental College Research and Innovation Team Building Project of China HDFKYTD202108the Heilongjiang Postdoctoral Fund LBH-Z18052the Heilongjiang Social Science Research Planning Project 19GLC160the Key projects for economic and social development in Heilongjiang Province of China 23301the Major Research Projects of Humanities and Social Sciences in Universities in Anhui Province 2024AH040285the National Natural Science Foundation of China 72002056
6 · The paper itself

Abstract

Based on the innovation-driven theory and the ability-motivation-opportunity (AMO) perspective, we explore the role of intellectual property protection (IPP) in enhancing the radical technological innovation (RTI) of national research project teams (NRPT). Survey data from 336 national research project team members from universities and enterprises were used to analyze the theoretical model of this study, bringing in the chain-mediated effects of innovation milieu (IM) and group potential (GP) for analysis, as well as two-stage hybrid partial least squares structural equation modeling (PLS-SEM) and artificial neural network techniques (ANN) to evaluate the hypotheses. The empirical findings of this paper show that the strength of IPP has a positive relationship with RTI of NRPT, and that IPP is the most important predictor of this. These new findings expand the scope of innovation-driven theory and AMO theory, and provide a constructive model for NRPT to provide suggestions for the improvement of IPP system as a way to improve the realization of RTI. The results of this study can guide policymakers in strengthening IPP systems to encourage research teams to explore innovation more proactively and to facilitate the reasonable sharing and transfer of innovative outcomes. By creating a supportive innovation environment and maximizing the potential of research teams, technological breakthroughs can be achieved more effectively.

Indexed as

Intellectual property protectionNational research program teamsPLS-SEM modeling: an ANN approachRadical technological innovation

Identifiers

PMID39443552
PMCPMC11499662

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