期刊文献+

我国物流研究二十年:演进与发展——基于CiteSpace V的文献计量分析 被引量:4

A Review of Two Decades of Logistics Research in China: Evolution and Development——A Bibliometric Analysis Based on CiteSpace V
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摘要 现代物流是我国国民经济的重要组成部分,为其他产业发展提供重要支撑,吸引了国内众多学者的研究.本文基于1998—2017年CSSCI期刊库,以篇名包含"物流"的3 090篇文献为研究对象,运用可视化软件CiteSpaceV绘制了我国近20年来物流研究的知识图谱,以作者、单位、关键词、共被引文献等为网络节点进行分析.研究表明:1998—2008年间,国内物流研究呈快速增长状态;2009—2017年期间,由于研究的国际化以及研究方向的细分,国内CSSCI期刊以物流为篇名的研究有所减少;马士华、丁俊发、宋华、何明珂、王之泰等学者在物流概念、模式等方面奠定了我国物流研究的基础;随着物流新兴技术兴起和物流需求的提高,冷链物流、物联网、碳排放、一带一路等成为未来物流研究的热点. Modern logistics, an important part of China’s national economy, provides important support for the development of other industries and has attracted the attention of many domestic scholars. Based on the CSSCI journal database from 1998 to 2017, this paper takes3090 articles whose titles contain the word 'logistics' as the research object, and uses the visualization software CiteSpace V to map the knowledge of logistics research in China in the past 20 years, with authors, institutions, keywords, cited references as network nodes. The research shows that from 1998 to 2008, domestic logistics research showed a rapid growth;during the period of 2009-2017, due to the internationalization of research and the subdivision of research directions, the research on logistics in domestic CSSCI journals decreased;Ma Shihua, Ding Junfa, Song Hua, He Mingke, Wang Zhitai and other scholars laid the foundation for logistics research in China in terms of logistics concepts and models;with the rise of logistics technology and the increase for logistics demand, cold chain logistics, Internet of Things, carbon emissions, and the Belt and Road Initiative have become the focus of future logistics research.
作者 武佩剑 杨栋 陈汉辉 WU Pei-jian;YANG Dong;CHEN Han-hui(School of Business Administration,Aahui University Finance of Finance and Economics,Bengbu 233030,China)
出处 《五邑大学学报(自然科学版)》 CAS 2019年第1期54-61,78,共9页 Journal of Wuyi University(Natural Science Edition)
基金 安徽省人文社科重点研究项目(SK2015A087 SK2016A0007)
关键词 物流 CITESPACE 知识图谱 聚类分析 logisitcs citeSpace knowledge map clustering analysis
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