组织NPD网络实现高创新绩效:荷兰医疗器械中小企业案例

A. Pullen, A. Groen, P. Weerd-Nederhof, O. Fisscher
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引用次数: 0

摘要

本研究考察了哪些网络特征组合(网络配置)会导致中小企业(SMEs)的高创新绩效。尽管研究对外部网络与中小企业创新绩效之间的关系给予了很大的关注,但研究尚未清楚地证明在特定背景下哪种配置最能影响创新。研究的背景是荷兰的医疗设备部门。之所以选择这个部门,是因为由于产品的复杂性和市场的碎片化,与外部合作伙伴合作开发新产品的手段变得越来越重要。此外,该部门的特点是监管非常严格。这些规定是造成产品开发过程中耗费时间和成本的原因。在定量调查数据(N=60)的三角测量中,通过对这些公司(N=50)的半结构化访谈收集定性数据,回复率为61.9%。系统方法用于构建与高创新绩效相关的成功网络配置。通过使用这种方法,我们能够同时处理多个网络特征。创新绩效与欧氏距离的相关统计表明,企业的网络配置与成功的网络配置差异越大,企业的创新绩效越低。与文献假设相反,社会系统方法的结果表明,与高创新绩效相关的网络配置包括高水平的资源互补性和目标一致性,以及低水平的信任和网络地位强度。我们的定量和定性研究结果都表明,专注和一致的“商业化”方法与高创新绩效有关,而不是社交网络方式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Organizing NPD networks for high innovation performance: the case of Dutch medical devices SMEs
This research examines which combination of network characteristics (the network configuration) leads to high innovation performance for small and medium sized companies (SMEs). Even though research has paid significant attention to the relation between the external network and the innovation performance of SMEs, research has not yet clearly demonstrated which configurations most affect innovation in particular contexts. The context of the research is the Dutch medical devices sector. This sector is selected because collaboration with external partners for new product development means becomes increasingly important due to the complexity of the products and the fragmentation of the market. In addition the sector is characterized by very strict regulations. These regulations are the cause of the time and cost consuming product development process. In triangulation with quantitative survey data (N=60), qualitative data was gathered through semi-structured interviews in these same companies (N=50), which resulted in a response rate of 61,9%. The systems approach was used to construct the successful network configuration that is related to high innovation performance. By using this approach we are able to simultaneously address multiple network characteristics. Correlation statistics between the Innovation Performance and the Euclidean Distance showed that the more a companies’ network configuration differed from the successful network configuration, the lower the Innovation Performance of that company. Contrary to what we hypothesized from literature, the results of the social systems approach indicate that the network configuration that is related to high innovation performance includes high levels of resource complementarity and goal alignment, and low levels of trust and network position strength. Instead of the social way of networking, both our quantitative and qualitative findings show that a “businesslike” approach which is focused and consistent is related to high innovation performance.
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