Abstract
Sustainable 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.
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Patidar, A., Sharma, M., Agrawal, R., Sangwan, K.S., Jamwal, A. (2022). A Bibliometric Analysis of Sustainable Supply Chain Management: Research Implications and Future Perspectives. In: Agrawal, R., Jain, J.K., Yadav, V.S., Manupati, V.K., Varela, L. (eds) Recent Advances in Industrial Production. ICEM 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-5281-3_16
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