Research On The Knowledge Management Cloud Model Of Automobile Enterprise Toward The Industrial Value Chain Upgrading

With the coming of car networking era,it has become a trend of automotive enterprises toward the intelligent development,and science and technology innovation ability and knowledge management efficiency have become the focus of automobile enterprises winning the competition in the future.At present,with the automobile enterprises upgrading toward the ends of industrial value chain,there are two aspects of knowledge management issues:firstly,the original knowledge resources must be updated,in order to reduce the cost and risk of knowledge acquisition,it’s the cry for selecting a reasonable knowledge acquisition mode to acquire the external knowledge facing the knowledge gap;secondly,facing the integration and analysis of the massive enterprise internal and external information,it is in urgent need for advanced technology platform to provide the service of data mining,classification,storage and knowledge management,in order to reconstruct the core competitiveness of enterprises and realize value chain upgrading successfully.Therefore,it has the theory and practice value of studying the knowledge management cloud model of automobile enterprise toward the industrial value chain upgrading.Based on the enterprise knowledge theory and dynamic capabilities theory,this paper chooses China’s automobile manufacturing enterprises as research object.Aiming at studying knowledge management problems in the industrial value chain upgrading process of the China’s automobile enterprises,such as external knowledge acquisition,internal and external knowledge integration,knowledge sharing and utilization.This research analyzes the path and the demand of knowledge management with the automobile enterprises toward industrial value chain upgrading by using the SWOT and value chain analysis methods.Through the analysis,it is found that when the automobile enterprise is upgrading toward the R&D and marketing:firstly,the automobile enterprises face the issues of retention of the original knowledge,abandon and the acquisition of new knowledge;secondly,the automobile enterprises are disadvantage with the internal and external knowledge integration,utilization,sharing and innovation,lacking the knowledge management and technical support tools.Therefore,according to the degree of knowledge dynamic,knowledge breadth and knowledge modularization based on the knowledge gap,and knowledge stock of enterprise,this paper simulates the model of knowledge acquisition mode selection based on BP neural network,and provides the reference to obtain the mode choice of external enterprise knowledge;then from the integration,mining,classification,storage,sharing and utilization of knowledge resources,this research constructs the knowledge management cloud model of automobile enterprise,based on B/S and Hadoop cloud service architecture and technology.The research results of this paper provide the theoretical and practical guidance of knowledge management for automobile enterprises toward industrial value chain upgrading.It’s useful to enhance knowledge acquisition,sharing and utilization efficiency,thus enhances the R&D and marketing service innovation ability,occupies the highest heights of the industrial value chain,and then achieves upgrading successfully.