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  • 标题:Factors of Big Data Analytics in Enabling the Knowledge Management Practice
  • 本地全文:下载
  • 作者:Norfadilatul Akma Mohd Rafhi ; Safawi Abdul Rahman
  • 期刊名称:International Journal of Academic Research in Business and Social Sciences
  • 电子版ISSN:2222-6990
  • 出版年度:2017
  • 卷号:7
  • 期号:11
  • 页码:917-927
  • DOI:10.6007/IJARBSS/v7-i11/3526
  • 语种:English
  • 出版社:Human Resource Management Academic Research Society
  • 摘要:Knowledge management is more concerning on reflection and analysis than regarding architectures and taxonomies, as much regarding connecting people as gathering content, and more concerning on building communities than building databases. As knowledge is majorly kept in heads instead of hard disks, it is a lot tougher to manage than information. However, knowledge management must be developed on a foundation of excellent information management and data management. This paper aims to investigate the factors of big data analytics in enabling the knowledge management practice. Four major factors discovered are the storage factor, processing factor, security factor and quality factor. The theoretical framework is proposed for the future research on examining the significant relationship between the factors of big data analytics and the knowledge management.
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