PDF(2882 KB)
Knowledge Management in the Data Age
Zhang Bin, Xiong Ao
Knowledge Management Forum ›› 2020, Vol. 5 ›› Issue (4) : 219-226.
PDF(2882 KB)
PDF(2882 KB)
Knowledge Management in the Data Age
[Purpose/significance] The period of big data has brought changes to all industries and fields of the society, as well as challenges to traditional knowledge management research. In order to adapt to the new era environment better, knowledge management needs to be re-recognized and re-positioned, and to meet and embrace new technologies on the challenges and changes it faces. [Method/process] This paper analyzed the role of knowledge management in the era of big data, discussed the methods and challenges of knowledge management in the era of big data, and put forward the development direction of knowledge management in the era of big data based on the reality. [Result/Conclusion] Knowledge management has not disappeared in the data age. The development of big data has promoted the transformation of knowledge management process from traditional to technical. Although big data has made a major breakthrough in explicit knowledge management, it is still a problem needs to be solved in tacit knowledge management. Knowledge management in the new era emphasizes technology application and the ability of extracting the value of knowledge from the data.
data age / knowledge management / technological change / tacit knowledge
| [1] |
SAGIROGLU S, SINANC D. Big data: a review[C]//2013 International conference on collaboration technologies and systems (CTS). San Diego: IEEE, 2013: 42–47.
|
| [2] |
CHEN M, MAO S, LIU Y. Big data: a survey[J]. Mobile networks and applications, 2014, 19(2):171–209.
|
| [3] |
GANDOMI A, HAIDER M. Beyond the hype: big data concepts, methods, and analytics[J]. International journal of information management, 2015, 35(2):137–144.
|
| [4] |
LOHR S. The age of big data[N]. New York times, 2012-02-11.
|
| [5] |
何乐. “提纯”大数据 驱动发现与决策——哈佛大学加里·金教授谈大数据[J]. 群众, 2017(8):56–57.
|
| [6] |
PAULEEN D J, WANG W Y C. Does big data mean big knowledge? KM perspectives on big data and analytics[J]. Journal of knowledge management, 2017, 21(1):1–6.
|
| [7] |
邬贺铨. 大数据时代的机遇与挑战[J]. 求是, 2013(4):47–49.
|
| [8] |
DRUCKER P F. Knowledge-worker productivity: the biggest challenge[J]. California management review, 1999, 41(2):79–94.
|
| [9] |
POLYANI M. The tacit dimension[M]. Chicago: University of Chicago Press, 1966.
|
| [10] |
PRUSAK L. Practice and knowledge management[M] // ANTONELLI C, CARLSSON B, De La MOTHE J, et al. Knowledge management in the innovation process. Boston: Springer US, 2001: 153–158.
|
| [11] |
叶珺婕, 徐峰, 高芳. 大数据时代图情领域的研究热点与研究前沿[J]. 情报探索, 2017(7):128–134.
|
| [12] |
吴庆海. 人工智能时代下的知识管理[J]. 知识管理论坛, 2019, 4(6):321–331.
|
| [13] |
TIAN X. Big data and knowledge management: a case of déjà vu or back to the future?[J]. Journal of knowledge management, 2017, 21(1):113–131.
|
| [14] |
ROTHBERG H N, ERICKSON G S. Big data systems: knowledge transfer or intelligence insights?[J]. Journal of knowledge management, 2017, 21(1):92–112.
|
| [15] |
叶英平, 陈海涛, 陈皓. 大数据时代知识管理过程、技术工具、模型与对策[J]. 图书情报工作, 2019, 63(5):5–13.
|
| [16] |
郑彦宁, 化柏林. 数据、信息、知识与情报转化关系的探讨[J]. 情报理论与实践, 2011, 34(7):1–4.
|
| [17] |
王萍. 大数据背景下高新技术企业知识管理体系构建及评价研究[D]. 哈尔滨：哈尔滨工程大学, 2017.
|
| [18] |
NAISBITT J, BISESI M. Megatrends: ten new directions transforming our lives[J]. Sloan management review, 1983, 24(4):69.
|
| [19] |
Mc AFEE A, BRYNJOLFSSON E. Big data: the management revolution[J]. Harvard business review, 2012, 90(10):60-68.
|
| [20] |
FERRARIS A, MAZZOLENI A, DEVALLE A, et al. Big data analytics capabilities and knowledge management: impact on firm performance[J]. Management decision, 2019, 57(8):1923–1936.
|
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