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