基于可视化分析的中国知识转移研究热点与展望

doi:10.13998/j.cnki.issn1002-1248.20-0519

摘要/Abstract

摘要： [目的/意义]知识经济时代,知识已成为重要社会资源,而有效的知识转移将促进知识的交流与共享,对提高组织知识应用与创新能力起到不可替代的作用。知识转移领域的研究已有丰富的成果,但对国内各视角知识转移的研究综述有待完善。[方法/过程]选用CiteSpace软件,采取文献计量方法,对CNKI数据库中核心期刊、CSSCI、CSCD来源的与知识转移研究相关的2 854篇期刊文献进行可视化分析,整合样本文献的核心作者、学术机构、关键词数据,并绘制体现研究主题动态的关键词知识图谱。[结果/结论]通过对文献关键词的突现时间序列、共现与聚类图谱、时间线图谱进行分析,从研究对象、原理分析、过程路径和研究方法4个方面构建了知识转移的研究体系,并从企业、图书馆和创新视角对知识转移进行研究展望：企业的知识转移研究将集中在新兴企业方面;图书馆的知识转移研究将逐步增加中介效应;创新视角的知识转移可引入与知识、技术、信息传递相关的议题,实现跨学科的研究创新。

关键词: 知识转移, 研究趋势, 可视化分析, 文献计量法, CiteSpace

Abstract: [Purpose/Significance] In the era of knowledge economy, knowledge has become an important social resource. Effective knowledge transfer will promote the exchange and sharing of knowledge, and play an irreplaceable role in improving organizational knowledge applications and innovation capabilities. Research in the field of knowledge transfer has produced rich results. However, the research review of knowledge transfer from various perspectives in China needs to be improved. [Method/Process] This paper selects CiteSpace software and adopts the bibliometric method to present visualization analysis of 2,854 journal papers related to knowledge transfer from core journals, CSSCI, and CSCD in the CNKI database. The analysis includes the core authors, academic institutions, and keyword data of the sample literature, and draws a keyword knowledge map that reflects the dynamics of the research topics. [Results/Conclusions] Through the analysis of the emergent time series, co-occurrence and clustering maps, and timeline maps, the research constructs a knowledge transfer research system from four aspects: research object, principle analysis, process path and research method, and predicts the future research directions of knowledge transfer from the perspective of enterprises, libraries and innovation: enterprise knowledge transfer research will focus on emerging companies; library knowledge transfer research will gradually increase the intermediary effect; innovation knowledge transfer will introduce topics related to knowledge, technology, and information transfer to achieve interdisciplinary research and innovation.

Key words: knowledge transfer, research trends, visual analysis, bibliometric, CiteSpace

中图分类号:

G249.2

梁晶璇, 宋慧琪, 陈佑成, 郑琼娥. 基于可视化分析的中国知识转移研究热点与展望[J]. 农业图书情报学报, 2021, 33(3): 38-55.

LIANG Jingxuan, SONG Huiqi, CHEN Youcheng, ZHENG Qionge. Research Hotspots and Trends of Knowledge Transfer in China Based on Visualization Analysis[J]. Journal of Library and Information Science in Agriculture, 2021, 33(3): 38-55.

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