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对大数据情境下知识共享的研究进行梳理归纳,以中国知网和web of science为基础对知识共享的高频关键词共现性和高产作者合著情况进行分析。结果表明对知识共享的研究主要聚焦于知识管理、实践、情景视角的探讨,并逐渐跨领域化;知识共享的意愿和协同研究也受到关注,将知识共享与大数据情境相结合研究是不足的。因此基于24HrKF视角,将大数据情境与知识共享相融合提出了知识共享流程改善模型,并举实例进行验证。
The research on knowledge sharing in big data context is summarized. Based on ChinaNet and web of science, the co-existence of high-frequency keywords and knowledge of high-yield authors are analyzed. The results show that the research on knowledge sharing mainly focuses on the discussion of knowledge management, practice and situational perspective, and gradually cross-field; knowledge sharing willingness and collaborative research are also concerned about the combination of knowledge sharing and big data scenarios is insufficient . Therefore, based on 24HrKF perspective, this paper proposes a knowledge sharing process improvement model by integrating big data context with knowledge sharing, and gives examples to verify.