摘要
技术熟练农民工频繁跳槽给企业生产经营带来不良影响,组织支持与农民工的组织承诺之间是对等交换关系,增加农民工的组织承诺就必须增加组织支持.利用改进算法的BP神经网络对组织支持与农民工组织承诺的交换过程建立模型,实践证明该模型具有较高的预测精度,可以为企业中农民工组织承诺的定量预测提供参考.
Skilled migrant workers' job hopping produces negative impacts on production and management of enterprises. There exists an exchange relationship between organizational support and migrant workers' organizational commitment. That is to say, an increase in the commitment implies growth in support. This paper proposes a model for the exchange process between organizational support and migrant workers' organizational commitment by using the improved back propagation (BP) neural network. The model proves to be highly accurate in prediction and therefore can be used for enterprises to predict migrant workers' organizational commitment.
出处
《南京工程学院学报(自然科学版)》
2011年第4期45-48,共4页
Journal of Nanjing Institute of Technology(Natural Science Edition)
基金
教育部人文社会科学青年基金项目(11YJC630121)
和谐视角下新生代农民工就业质量提升问题研究
江苏省社科基金项目(11SHD015)
江苏省新生代农民工的就业质量研究
国家社科基金青年项目(10CRK014)
经济发达地区新生代农民工就业能力提升研究
关键词
BP神经网络
农民工
组织承诺
组织支持
交换
BP neural networks
migrant workers
organizational commitment
organizational support
exchange