高校图书馆员工工作满意度的神经网络模型

Artificial Neural Network Model of the Job Satisfaction of the University Librarians

以8所高校130名图书馆员工的工作满意度调查所得数据为基础,根据BP人工神经网络算法原理,建立了高校图书馆员工工作满意度与领导管理、人际关系、工作本身、工作压力、福利报酬和发展前途6个影响因素之间的关系模型。结果表明,BP人工神经网络用于高校图书馆员工工作满意度的研究是可行的,所建模型能很好地反映实际情况,可以进一步推广应用于其他行业的员工工作满意度研究。

On the basis of the investigation data obtained from 130 full - time librarians in 8 universities, the predicting model for the relation between job satisfaction of university librarians and 6 influencing factors which are leadership management, interpersonal relationship, work itself, work stress, welfare benefits and development future has been developed with BP （back propagation） artificial neural network method. The results show that it is feasible to study the job satisfaction of the university librarians by BP artificial neural network method, and the model can primely reflect the practical situation. It is worth of spreading and popularizing in other occupations.