基于EBP模型的服务化制造业集群知识共享风险评价

摘要

通过与传统制造业集群的对比，分析了服务化制造产业集群的知识共享过程，识别了服务化制造业集群知识共享过程中关系、利益与知识共享能力三方面的知识流并生风险，构建了基于EBP（熵值法和BP神经网络法）的服务化制造业集群知识共享风险组合评价模型。通过实证分析验证了模型的有效性与合理性，并通过与BP神经网络模型的误差对比分析，证实了该模型在知识共享风险识别方面的准确度更高。所提供的模型方法可为服务化制造业集群企业知识共享风险管理提供决策支持。%In contrast with traditional manufacturing cluster,the process of knowledge sharing within serv-ice-oriented manufacturing cluster is analyzed and the three knowledge sharing risks i. e. the relationship risk,the interests risk and the knowledge sharing capacity risk,are identified. Then,an EBP risk meas-urement model integrating entropy method with BP (back propagation )neural network method is estab-lished in order to evaluate the knowledge sharing within service-oriented manufacturing cluster. Finally,an empirical study is conducted to prove the validity and rationality of the measurement model. The result in-dicates that the EBP risk measurement model is of higher prediction performance contrasted with BP neural network model,which is helpful for efficient decision making concerning knowledge sharing risk manage-ment.