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通过创新环境和团队潜力,知识产权保护成为国家研究项目团队激进技术创新的催化剂。

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

作者信息

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

机构信息

East University of Heilongjiang, Harbin, 150066, China.

University of Science and Technology of China, Hefei, 230026, China.

出版信息

Sci Rep. 2024 Oct 23;14(1):25038. doi: 10.1038/s41598-024-74999-w.

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.

摘要

基于创新驱动理论和能力-动机-机会(AMO)视角,我们探讨了知识产权保护(IPP)在提升国家科研项目团队(NRPT)的激进式技术创新(RTI)方面的作用。来自336名高校和企业国家科研项目团队成员的调查数据被用于分析本研究的理论模型,引入创新环境(IM)和团队潜力(GP)的链式中介效应进行分析,并采用两阶段混合偏最小二乘结构方程模型(PLS-SEM)和人工神经网络技术(ANN)来评估假设。本文的实证研究结果表明,IPP的强度与NRPT的RTI呈正相关,且IPP是其最重要的预测因素。这些新发现拓展了创新驱动理论和AMO理论的范畴,并为NRPT提供了一个建设性模型,以提出改进IPP体系的建议,作为提升RTI实现的一种方式。本研究结果可指导政策制定者加强IPP体系,鼓励研究团队更积极地探索创新,并促进创新成果的合理共享与转移。通过营造支持性的创新环境并最大化研究团队的潜力,可以更有效地实现技术突破。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce46/11499662/a6a8237e73a3/41598_2024_74999_Fig1_HTML.jpg

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