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Knowledge Structure and Its Impact on Knowledge Transfer in the Big Data Environment

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

Abstract


With the advent of the big data era, big data knowledge and private knowledge have become two dominant types of knowledge that an enterprise needs for product innovation. Based on the analysis of the relationships and the mutual influence between big data knowledge and private knowledge, a decision model of knowledge transfer that can take into consideration the influence of various knowledge structures on the efficiency of knowledge transfer is presented. Simulation experiments have been 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.

Citation Format:
Chuanrong Wu, Evgeniya Zapevalova, Feng Li, Deming Zeng, "Knowledge Structure and Its Impact on Knowledge Transfer in the Big Data Environment," Journal of Internet Technology, vol. 19, no. 2 , pp. 581-590, Mar. 2018.

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Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
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