Zhang Lingling

Study on Knowledge Transfer and Sharing of the Core Process within Knowledge-Intensive Organizations

Knowledge-intensive organizations operating in todays modern business environments face several kinds of challenges brought by their ways of operating and the characteristics in their business environments. The objective of this paper is to discuss the key elements that should be considered when identifying core businesses process within knowledge-intensive organizations. After talking about how to distinguish the core process from the multitudinous business processes, this paper gives a method based on business process to acquire knowledge. This paper explores the key factors that have been cited as significant influences on the ability to transfer and share knowledge. This will be accomplished by first identifying the factors that may cause problems for core process. And then offers transfer and sharing.

Research on Technology Foresight Method Based on Intelligent Convergence in Open Network Environment

With the development of technology, the technology foresight becomes more and more important. Delphi method as the core method of technology foresight is increasingly questioned. This paper propose a new technology foresight method based on intelligent convergence in open network environment. We put a large number of scientific and technological innovation topics into the open network technology community. Through the supervision and guidance to stimulate the discussion of expert groups, a lot of interactive information can be generated. Based on the accurate topic delivery, effective topic monitoring, reasonable topic guiding, comprehensive topic recovering, and interactive data mining, we get the technology foresight result and further look for the expert or team engaged in relevant research.With the development of technology, the technology foresight becomes more and more important. Delphi method as the core method of technology foresight is increasingly questioned. This paper propose a new technology foresight method based on intelligent convergence in open network environment. We put a large number of scientific and technological innovation topics into the open network technology community. Through the supervision and guidance to stimulate the discussion of expert groups, a lot of interactive information can be generated. Based on the accurate topic delivery, effective topic monitoring, reasonable topic guiding, comprehensive topic recovering, and interactive data mining, we get the technology foresight result and further look for the expert or team engaged in relevant research.