Knowledge Structure and Its Impact on Knowledge Transfer in the Big Data Environment,ERICDATA高等教育知識庫
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篇名
Knowledge Structure and Its Impact on Knowledge Transfer in the Big Data Environment
並列篇名
Knowledge Structure and Its Impact on Knowledge Transfer in the Big Data Environment
作者 Chuanrong Wu、Evgeniya Zapevalova、Feng Li、Deming Zeng
英文摘要
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.
起訖頁 581-590
關鍵詞 Big data、Knowledge transfer、Knowledge structure、Efficiency、Decision model
刊名 網際網路技術學刊  
期數 201803 (19:2期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642018031902026   複製DOI
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