[Purpose/significance] Knowledge evaluation and knowledge workers’ level evaluation are two major challenges for enterprises innovation. Knowledge sharing methods based on the big data are presented. [Method/process] Through the construction of related systems, standards and platforms, the big data about knowledge and knowledge evaluation are obtained, and the traceability of knowledge management’s in the whole process and the transparency of enterprise workers’ knowledge sharing and knowledge levels are obtained. On this basis, enterprises give fair and just incentives to workers and make them glad to share knowledge, active to participate in knowledge evaluation. [Result/conclusion] As a result, a transparent and fair enterprise environment with the orderly knowledge network and an excellent atmosphere in which workers share knowledge actively is built up.
Gu Xinjian
,
Ma Buqing
,
Dai Feng
. Research on the Knowledge Sharing Methods Based on the Big Data[J]. Knowledge Management Forum, 2016
, 1(1)
: 30
-38
.
DOI: 10.13266/j.issn.2095-5472.2016.006