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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/11774
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dc.contributor.authorSangwan, Kuldip Singh-
dc.date.accessioned2023-08-31T09:57:16Z-
dc.date.available2023-08-31T09:57:16Z-
dc.date.issued2021-11-
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-981-16-5281-3_16-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11774-
dc.description.abstractSustainable supply chain (SSC) is an emerging research area that focuses on the triple bottom line pertaining to all stakeholders and related activities. Important Business decisions relevant processes, and activities are focused on features in SSC articles. Using the bibliometric techniques, the author attempted to analyze the research area's impact, its associated eminent authors, along with their affiliated institutions and countries. Through conducting network analysis in VOSviewer software and Gephi software researchers focus on co-authorship, author specified keywords clustering, and countries-based bibliographic analysis. The research identifies the most influential research work/authors in the defined duration. Using network analysis, authors can identify knowledge groups their affiliations, and future research opportunities. In contrast to the existing literature, the author here used keywords occurrence as a criterion for clustering. The identified clusters define the research themes and keyword occurrence helps in identifying future research implications.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectMechanical Engineeringen_US
dc.subjectSustainable supply chain (SSC)en_US
dc.subjectBibliometricsen_US
dc.subjectWeb of science (WoS)en_US
dc.subjectVOSvieweren_US
dc.subjectGephien_US
dc.subjectNetwork analysisen_US
dc.titleA Bibliometric Analysis of Sustainable Supply Chain Management: Research Implications and Future Perspectivesen_US
dc.typeArticleen_US
Appears in Collections:Department of Mechanical engineering

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