大数据赋能企业知识管理创新机理与路径研究——基于华为案例

大数据时代呈指数级增长的数据量和不断涌现的技术工具对企业知识管理提出了新要求,因此探究大数据如何赋能企业知识管理创新对提升企业核心竞争力具有重要意义。采用扎根分析法,以华为公司为案例,对大数据赋能知识管理创新的内在机理与演变路径进行系统研究,提出“创新环境-创新主体-创意开发”的理论分析框架,在此基础上结合企业知识管理演变特征,将企业知识管理创新路径划分为3个阶段,即外源数据赋能的知识积累阶段、内源数据赋能的知识交流阶段和内外源数据联合赋能的知识创新阶段,深入分析每个阶段大数据赋能企业知识管理创新的内在机理,为推进大数据时代企业知识管理创新提供理论支持与决策参考。

Research on the Mechanism and Path of Big Data Empowering Enterprise Knowledge Management Innovation:based on the Case of Huawei's Practice

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.