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Knowledge mapping of e-commerce supply chain management: a bibliometric analysis
E-commerce supply chain management is a considerably hot research topic in recent decades, and the research findings have been widely published in various well-known international journals. To explore its research status and trend, we employ a bibliometric analysis approach to conduct performance an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411849/ http://dx.doi.org/10.1007/s10660-022-09609-w |
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author | He, Peng Wang, Tong-Yuan Shang, Qi Zhang, Jun Xu, Henry |
author_facet | He, Peng Wang, Tong-Yuan Shang, Qi Zhang, Jun Xu, Henry |
author_sort | He, Peng |
collection | PubMed |
description | E-commerce supply chain management is a considerably hot research topic in recent decades, and the research findings have been widely published in various well-known international journals. To explore its research status and trend, we employ a bibliometric analysis approach to conduct performance analyses and reveal the publication trend, the main discipline categories, the top contributing countries, institutions, authors, the most influential documents and the dominant academic journals. Furthermore, we shed light on the dynamic evolution tendency of research topics and hotspots in this field. The keywords co-occurrence analysis reveals implications into 7 major clusters including e-commerce operations, supply chain management, pricing strategy, coordination mechanism design, sustainable development management, cross-border e-commerce management, and closed-loop supply chain management. The research gap analysis suggests that future research directions could combine live-streaming, emerging technologies, disruption risk and behavioral preference into the e-commerce supply chain management research. |
format | Online Article Text |
id | pubmed-9411849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-94118492022-08-26 Knowledge mapping of e-commerce supply chain management: a bibliometric analysis He, Peng Wang, Tong-Yuan Shang, Qi Zhang, Jun Xu, Henry Electron Commer Res Article E-commerce supply chain management is a considerably hot research topic in recent decades, and the research findings have been widely published in various well-known international journals. To explore its research status and trend, we employ a bibliometric analysis approach to conduct performance analyses and reveal the publication trend, the main discipline categories, the top contributing countries, institutions, authors, the most influential documents and the dominant academic journals. Furthermore, we shed light on the dynamic evolution tendency of research topics and hotspots in this field. The keywords co-occurrence analysis reveals implications into 7 major clusters including e-commerce operations, supply chain management, pricing strategy, coordination mechanism design, sustainable development management, cross-border e-commerce management, and closed-loop supply chain management. The research gap analysis suggests that future research directions could combine live-streaming, emerging technologies, disruption risk and behavioral preference into the e-commerce supply chain management research. Springer US 2022-08-26 /pmc/articles/PMC9411849/ http://dx.doi.org/10.1007/s10660-022-09609-w Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article He, Peng Wang, Tong-Yuan Shang, Qi Zhang, Jun Xu, Henry Knowledge mapping of e-commerce supply chain management: a bibliometric analysis |
title | Knowledge mapping of e-commerce supply chain management: a bibliometric analysis |
title_full | Knowledge mapping of e-commerce supply chain management: a bibliometric analysis |
title_fullStr | Knowledge mapping of e-commerce supply chain management: a bibliometric analysis |
title_full_unstemmed | Knowledge mapping of e-commerce supply chain management: a bibliometric analysis |
title_short | Knowledge mapping of e-commerce supply chain management: a bibliometric analysis |
title_sort | knowledge mapping of e-commerce supply chain management: a bibliometric analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411849/ http://dx.doi.org/10.1007/s10660-022-09609-w |
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