摘要
由于企业战略及外部环境多变,企业间研发合作网络呈现动态演化。以谷歌为例,通过获取Factiva数据库网络信息,构建以谷歌为核心节点的主体合作网络和参与网络叠加的二模网络,利用动态网络分析法探究研发合作网络的结构特征和内容特征。实证结果表明,在网络结构特征方面,谷歌研发合作网络的结构演化呈现明显的阶段性特征,网络规模不断扩大、网络联系不断增多;在网络内容特征方面,合作内容始终基于技术创新优势,合作伙伴出现跨产业变化,多产业研发合作模式出现,在倚重高年限企业的同时,逐渐倾向于初创型企业。谷歌研发合作网络演化特征不仅体现了谷歌发展原则和战略,而且为具有自身技术优势的企业选择合作伙伴提供了借鉴。
As the strategy of corporates and external environment change,the inter-firms RD cooperation network shows dynamic changes.In this paper,we take Google as an example to construct the two-mode network including Agent x Agent network and Agent x Task network by using the Internet information in the Factiva database.We use Dynamic Network Analysis to analysis the RD cooperation network including structure characteristics and content characteristics.The empirical results indicate that in terms of network structure characteristics,the evolution of the RD cooperation network of Google shows obvious stage characteristics,the network size is expanding and the network connection is increasing.In terms of network content characteristics,the cooperation content is based on its technological innovation advantages.Some RD cooperation also begins to focus on a number of different enterprises of different industries,which shows a multi-industry RD cooperation model.Besides,Google increasingly dependents on senior enterprise and gradually tends to select start-up enterprises as its partners.The evolution of RD cooperation network of Google not only embodies the development principles and strategies of Google but also provides a reference for companies that have their own technological advantages when choosing RD partners.
作者
吴菲菲
李倩
米兰
李欣
黄鲁成
Wu Feifei;Li Qian;Mi Lan;Li Xin;Huang Lucheng(School of Economics and Management,Beijing University of Technology;Beijing Modern Manufacturing Development Research Base,Beijing 100124,China)
出处
《科技进步与对策》
CSSCI
北大核心
2018年第15期89-95,共7页
Science & Technology Progress and Policy
基金
国家自然科学基金项目(71774009
71673018)
关键词
网络信息
研发合作
谷歌
动态网络分析
网络演化特征
Internet Information
R&D Cooperation
Google
Dynamic Network Analysis
Network Evolution Character istics