Comprehensive Evaluation Study Of Enterprise Internal Knowledge Transfer Performance

In the era of knowledge economy, knowledge has become scarce strategicresources. The complex and changeable operating environment determinesthat enterprises must promote knowledge stocks and effective use ofknowledge to keep continuous innovation so can they maintain competitiveadvantages. This paper from process and results the two dimensions ofenterprise internal knowledge transfer to evaluate the knowledge transferperformance, and provide theoretical guidance for knowledge transfer withinenterprises. Meanwhile, this study will guide enterprises to improveknowledge stock and enhance competitive advantage in practical.Aiming to analysis the components of enterprise internal knowledgetransfer performance and establishes a comprehensive evaluation indexsystem, and then to investigate the comprehensive evaluation method on thisbasis. Firstly, expounds the relevant theory about knowledge transfer andevaluation of knowledge transfer performance, and on this basis, points outthe status and remaining deficiencies of the current studies and the researchfoundation of this paper. Secondly, establishes a comprehensive evaluationindex system by analyzing the components of enterprise internal knowledgetransfer performance and processing the feedback data of specialistquestionnaires. Thirdly, puts forward a method for evaluation of enterpriseinternal knowledge transfer performance based on BP neural network tocompensate for the lack of current research, and then in accordance withestablished index system to design the comprehensive evaluation model.Finally, distributes questionnaires to enterprises for collecting sample data,and uses the Matlab7.8.0programming language for BP neural networkmodeling, training, testing and simulation. The simulation result shows that,the model has good generalization ability with high prediction and evaluationlevel. The result also indicates that this method has a high degree of accuracy and operability.