Big Data, Knowledge Structure and Knowledge Transfer

Wu, Chuanrong; Zapevalova, Evgeniya; Li, Feng; Zeng, Deming

With the advent of the big data era, two dominant types of knowledge that enterprises need for product innovation are

1. big data knowledge and 
2. private knowledge.

big data knowledge and private knowledge influence each other. Based on this, a decision model of knowledge transfer was created that could take into consideration the influence of knowledge structures on the efficiency of knowledge transfer.

Simulations were developed for different influence coefficients and knowledge weights. 

The experimental results are consistent with previous studies and the actual economic situation, suggesting that the model is valid.

The model can provide decision-making support for enterprises to determine the allocation of a knowledge structure in the big data environment.

http://jit.ndhu.edu.tw/ojs/index.php/jit/article/view/1678