Competency Assessment of Executives Based on BP Neural Network

This paper summarizes the most important seven factors about competency of executives based on the performance appraisal historical data of a Beijing Science and Technology Company. Combine the scores given by the experts with the results of the integration assessment of the grey system, we can get the target-value of the input samples of BP (Back Propagation) neural network, then use it to train and test the network. It is proved to be very effective that using the network to simulate the competency assessment of executives. The purpose of this paper is to help the company find suitable executives and improve the efficiency of company. Competency assessment of executives can be applied to business managers’ selection, training, performance appraisal, career planning and various management aspects.