Exploring the Role of Collaboration Networks in Universities'R&D Efficiency
Based on publication cooperation data,this study employs social network analysis to construct a university cooperation network for the period from 2000 to 2013 with a five-year window.The university's R&D activities are divided into two stages:research and technology transfer.A network Data Envelopment Analysis(DEA)model is then applied to measure the efficiency of each stage separately.The study further investigates the influence of network indexes on R&D efficiency.The findings reveal the significant impact of collaboration network structure on process-oriented R&D performance.Specifically,structural holes(SH)and degree centrality(DC)are found to positively affect research performance,while tie strength(TS)exhibits a negative impact.Moreover,a trade-off associated with degree centrality(DC)is identified,as it is negatively correlated with technology transfer efficiency.Based on these conclusions,recommendations for fostering collaborative relationships among universities are presented.
NETL
NSTL
万方数据
