Decision model of knowledge transfer in big data environment

A decision model of knowledge transfer is presented on the basis of the characteristics of knowledge transfer in a big data environment. This model can determine the weight of knowledge transferred from another enterprise or from a big data provider. Numerous simulation experiments are implemented to test the efficiency of the optimization model. Simulation experiment results show that when increasing the weight of knowledge from big data knowledge provider, the total discount expectation of profits will increase, and the transfer cost will be reduced. The calculated results are in accordance with the actual economic situation. The optimization model can provide useful decision support for enterprises in a big data environment.