Knowledge Sharing Research In R&D Teams

Our study firstly investigated research difficulties, designers'characteristics, management abilities and factors to the success of researches out of R&D teams of software development, architectural planning, machinery manufacturing and other industries. Focusing on the difficulties in the knowledge sharing process, the author integrated the phenomenon of knowledge sharing and suggested using parameters such as knowledge gap, sharing threshold, sharing rate and self-studying to quantify the factors of knowledge sharing. Then a network-based modeling was adopted to simulate the spread and knowledge-sharing process among R&D team members through programming. It was found from this modeling that the feature of evolution and expansion of knowledge, and their impact on R&D team and individual member's level of knowledge.Inspired from the'Small World Phenomenon'of social networks, a quickly developed theory overseas, the author used characteristic path length and clustering coefficient of SWM (small world model) to examine frequency and centralization of communication in R&D teams. Additionally weight of linkage was introduced into knowledge sharing network which was analyzed from directed-weighted network perspectives in this study with network density, node degree, linkage weight and network clustering to research knowledge sharing mechanism. Finally a directed-weighted network efficiency model was brought forward to examine the effect of knowledge sharing.