摘要
[目的/意义]以平台企业外部知识资源为研究基础,构建大数据能力视角下平台企业知识创造模型。[方法/过程]基于知识主题对平台企业知识进行分类,剖析大数据能力内部层级结构并与知识获取、知识整合、知识试用相匹配构建知识创造模型。[结果/结论]平台企业利用大数据能力完成数据—信息—知识的转化,通过知识筛选与融合实现知识整合,通过知识分析与测评验证知识有效性,从而完成知识创造的整个过程。
[Purpose/significance]Based on the external knowledge resources of platform enterprises,the knowledge creation model of platform enterprises was constructed from the perspective of big data capability.[Method/process]Based on the knowledge topic,the platform enterprise knowledge is classified,and the internal hierarchical structure of big data capability is analyzed,and the knowledge creation model is built by matching with knowledge acquisition,knowledge integration and knowledge trial.[Result/conclusion]Platform enterprises use big data capabilities to complete the transformation of data-information-knowledge,realize knowledge integration through knowledge screening and fusion,and verify the effectiveness of knowledge through knowledge analysis and evaluation,thus completing the whole process of knowledge creation.
出处
《情报理论与实践》
CSSCI
北大核心
2020年第7期123-129,共7页
Information Studies:Theory & Application
关键词
平台企业
大数据能力
知识创造
层级结构
商业模式创新
platform enterprise
big data capability
knowledge creation
hierarchical structure
business model innovation
