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Research on the Mechanism and Path of Big Data Empowering Enterprise Knowledge Management Innovation:based on the Case of Huawei's Practice |
Liu Pingfeng1,2,Wang Yuting1,2,Su Chaochao1,2 |
(1.School of Economics, Wuhan University of Technology;2.Hubei Provincial Research Center for E-Business Big Data Engineering Technology, Wuhan 430070, China) |
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Abstract The exponentially increasing amount of data and emerging technology tools in the era of big data have put forward new requirements for enterprise knowledge management. It is of great significance for improving enterprises' core competitive capability to explore how big data can empower the innovation of enterprise knowledge management. This paper adopts the grounded analysis method and takes Huawei as the case to conduct a systematic research on the internal mechanism and evolving path of big data empowering the innovation of knowledge management. A theoretical analysis framework of "innovation environment-innovation subject-creative development" is proposed. According to the characteristics of evolution of the enterprise's knowledge management, this paper divides the path of innovating the enterprise's knowledge management into three stages: knowledge accumulation stage empowered by external data, knowledge absorption stage empowered by internal data, and knowledge innovation stage jointly empowered by internal and external data. For each of those three stages an in-depth analysis on the internal mechanism of big data empowering the innovation of knowledge management is conducted. The research results of this paper can provide theoretical support and references for decision for the evolution and promotion of enterprise knowledge management innovation in the era of big data.
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Received: 09 April 2020
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