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

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.

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Publication Details

Journal
Scientific Reports
Published
2024-10-23
DOI
https://doi.org/10.1038/s41598-024-74999-w
Citations
3
Primary Topic
Technology Assessment and Management
Type
article
Field-Weighted Citation Impact
1.09

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article

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

Luan Gao, Kaixin Wu, Wei Chen, Jianhui Yin et al.
3 citations
Scientific Reports
Technology Assessment and Management
1.09
article

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

Luan Gao, Kaixin Wu, Wei Chen, Jianhui Yin, Haixu Shang, Feiyan Wang
article en
3 citations

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.

Scientific ReportsVol. 14(1)
University of Science and Technology of China (CN), Harbin Engineering University (CN), East University Of Heilongjiang (CN), Anhui Business College (CN)
National Natural Science Foundation of China, Harbin Science and Technology Bureau
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Technology Assessment and Management
1.09
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