Research On Modeling And Simulation Of Knowledge Growth In Research And Development Teams

In the growing tense competition and rapid- changing world, it is crucial for enterprises or companies to explore and utilize knowledge capital. Research and Development(R&D) of new product is the core to explore knowledge capital, while the process of research and development is the management process of humanity in nature to boost and promote knowledge transfer, sharing and creation. In the process , all the members within and across the teams build up a relationship network to communicate and learn from each other, which is named after knowledge communication network. This knowledge network is a kind of social network and has properties of Small World Network(SWN) . This paper makes use of improving theory of complex network to build up a knowledge network model oriented towards complicated R&D projects, which may involve several teams or companies to cooperate and coordinate. On the basis of previous research on knowledge network, this paper takes knowledge renewing, knowledge emergence into consideration and make simulations of knowledge transfer and creation in the teams. Knowledge level and knowledge variance are used as the indexes to measure knowledge level and imbalance or disequilibrium. Further analysis is placed on the impacts of network structure ,the easiness of knowledge transfer and opportunities for individual studying on knowledge growth and variance. In closing, this paper expects to bring forward some suggestions to manage research and development teams on the integration and combination of simulation results and advanced practical experience of some international companies, including the steps and procedures to establish and manage knowledge network within teams.