Scientific collaboration networks and firm innovation: the contingent impact of a dynamic environment
Scientific collaboration networks and firm innovation: the contingent impact of a dynamic environment
复制标题
DOI：
10.1108/md-08-2020-1050
复制
发表时间：
2021-05
影响因子：
4.6
通讯作者：
Jing Yang;Jing Zhang;D. Zeng
中科院分区：
文献类型：
--
作者：
Jing Yang;Jing Zhang;D. Zeng
高科技产业的环境是高度动态的，在新冠肺炎疫情发生后，环境变得更加不可预测。因此，企业制定应对高度动态环境的战略变得至关重要。本文旨在分析与uri（大学和研究机构）的科学合作网络对企业创新绩效的影响如何取决于技术和市场动态。以2004-2015年174家中国新能源汽车企业为样本，采用随机效应负二项建模方法对这些关系进行建模。发现广泛而强大的科学合作网络促进企业创新，网络效应取决于技术和市场动态。由于企业和uri的合作目的不同，技术动态增强了这种效应，而市场动态则削弱了这种效应。实践启示：面对不同的环境，企业应该调整具有uri的科学合作网络的结构。政府应鼓励企业与不同的uri共同研究，为稳定市场环境发挥积极作用。原创性/价值本研究对大学-产业科学合作的学术争论有所贡献。运用临时竞争优势（TCA）框架，我们提供了研究影响网络效应的因素的文献的细微差别。本研究还通过对企业与uri之间合作关系的测度，为企业科学合作网络的研究增添了新的内容。
PurposeThe environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.Design/methodology/approachUsing a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.FindingsA broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.Practical implicationsFirms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.Originality/valueThis study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.