A review of supply chain coordination management based on bibliometric data

被引:9
|
作者
Xue, Jian [1 ]
Zhang, Wenjing [1 ]
Rasool, Zeeshan [1 ,2 ]
Zhou, Jinhua [1 ]
机构
[1] Shaanxi Univ Sci & Technol, Sch Econ & Management, Univ Pk Weiyang Dist, Xian 710021, Peoples R China
[2] NFC IET, Dept Business Adm, Multan, Pakistan
关键词
Sustainable development; Bibliometrics; Clustering analysis; Timetone view; SCCM; MODEL; LOGISTICS; FRAMEWORK; SINGLE;
D O I
10.1016/j.aej.2022.04.013
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Aotract Supply Chain Coordination Management (SCCM) is an effective tool and has become a hot topic related to the supply chain. In order to clarify the SCCM research framework and its evo-lution, we conducted a literature study, using 5748 papers collected from the Web of Science data-base from 2005 to 2020 as the data source, using bibliometric analysis and visualization methods to document the SCCM research Quantitative analysis and visual analysis. This article first analyzes the time series distribution of papers published in the SCCM field, the core author group, the dis-tribution of research institutions, the distribution of important journals, the author's co-occurrence network, and the keyword cluster analysis, and explains the current research status and research hotspots of SCCM. Secondly, use CiteSpace software to conduct timetone cluster analysis of key-words in the SCCM field, and further explore the frontiers of SCCM research. Finally, 5748 doc-uments are summarized, and the research hotspots of SCCM in various time periods are systematically explained, which can provide theoretical and practical references for the future research. (c) 2022 THE AUTHORS. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:10837 / 10850
页数:14
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