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Time Optimization of Multiple Knowledge Transfers in the Big Data Environment

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成果类型:
期刊论文
作者:
Wu, Chuanrong*;Zapevalova, Evgeniya;Chen, Yingwu;Li, Feng
通讯作者:
Wu, Chuanrong
作者机构:
[Zapevalova, Evgeniya; Wu, Chuanrong] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410114, Hunan, Peoples R China.
[Chen, Yingwu] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China.
[Li, Feng] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Hunan, Peoples R China.
通讯机构:
[Wu, Chuanrong] C
Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410114, Hunan, Peoples R China.
语种:
英文
关键词:
Big data;DEP;Knowledge transfer;Simulation experiment;Time optimization
期刊:
计算机、材料和连续体(英文)
ISSN:
1546-2218
年:
2018
卷:
54
期:
3
页码:
269-285
基金类别:
Acknowledgment: This research is supported by the National Natural Science Foundation of China (Grant No. 71704016,71331008, 71402010), the Natural Science Foundation of Hunan Province (Grant No. 2017JJ2267), the Educational Economy and Financial Research Base of Hunan Province (Grant No. 13JCJA2), and the Project of China Scholarship Council for Overseas Studies (201508430121, 201208430233).
机构署名:
本校为第一且通讯机构
院系归属:
经济与管理学院
计算机与通信工程学院
摘要:
In the big data environment, enterprises must constantly assimilate big data knowledge and private knowledge by multiple knowledge transfers to maintain their competitive advantage. The optimal time of knowledge transfer is one of the most important aspects to improve knowledge transfer efficiency. Based on the analysis of the complex characteristics of knowledge transfer in the big data environment, multiple knowledge transfers can be divided into two categories. One is the simultaneous transfer of various types of knowledge, and the other one...

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