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基于EBP模型的服务化制造业集群知识共享风险评价

  

  1. 北京信息科技大学 经济管理学院， 北京 100192
  • 出版日期:2016-10-31 发布日期:2017-02-21
  • 作者简介:廖梦洁（1989-），女，北京市人，硕士研究生，主要研究方向为知识管理.
  • 基金资助:

    国家自然科学基金资助项目 (71171021)；北京市社科基金资助项目 (15JDJGC041,15JGC177)；北京知识管理研究基地资助项目

Evaluating Knowledge Sharing Risk in the Service-oriented Manufacturing Cluster Based on the EBP Model

  1. College of Economics and Management, Beijing Information Science & Technology University, Beijing 100192，China
  • Online:2016-10-31 Published:2017-02-21

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。

关键词: 服务化制造业, 产业集群, 知识共享风险, 组合评价

Abstract:

In contrast with traditional manufacturing cluster, the process of knowledge sharing within service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 measurement model integrating entropy method with BP(back propagation) neural network method is established 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 indicates 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 management.

Key words: service-oriented manufacturing, industrial clusters, knowledge sharing risk, combination evaluation