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Optimal Model of Continuous Knowledge Transfer 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;Zeng, Deming;Liu, Francis
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.
[Zeng, Deming] Hunan Univ, Sch Business Adm, Changsha 410082, Hunan, Peoples R China.
[Liu, Francis] Univ Bretagne, SUD, LMBA, F-56017 Vannes, France.
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;Different time points;Knowledge transfer;Optimization model;Simulation experiment
期刊:
工程与科学中的计算机建模(英文)
ISSN:
1526-1492
年:
2018
卷:
116
期:
1
页码:
89-107
基金类别:
Acknowledgments: This research was supported by the National Natural Science Foundation of China (Grant No. 71704016, 71331008), the Natural Science Foundation of Hunan Province (Grant No. 2017JJ2267), Key Projects of Chinese Ministry of Education (17JZD022); and the Project of China Scholarship Council for Overseas Studies (201208430233, 201508430121), which are acknowledged.
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
摘要:
With market competition becoming fiercer, enterprises must update their products by constantly assimilating new big data knowledge and private knowledge to maintain their market shares at different time points in the big data environment. Typically, there is mutual influence between each knowledge transfer if the time interval is not too long. It is necessary to study the problem of continuous knowledge transfer in the big data environment. Based on research on one-time knowledge transfer, a model of continuous knowledge transfer is presented, ...

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