Bibliometric research indicators for green supply chain modelling

Mohammed Alkahtani, Shafiq Ahmad, Mohammed A. Noman, Husam Kaid and Ahmed Badwelan

International Journal of Industrial and Systems Engineering, 2020, vol. 35, issue 3, 314-344

Abstract: Bibliometric research is a statistical technique that analyses written publications like articles, reviews, or books from a quantitative perspective. This study provides an overall picture of the research in green supply chain modelling (GSCM) sciences. This paper proposes a methodology. First, the articles have been collected using Web of Science based on selected keywords from 1995 to 2018. Next, the most influential journals, articles, keywords, authors, and institutions have been determined in GSCM. Then, the country analysis has been performed to analyse GSCM studies with respect to its geographical distribution. Finally, the VOS viewer software has been used to visualise the bibliographic material through co-authorship, co-occurrence, citation, bibliographic coupling, and co-citation analysis. The indicators identify the fundamental research in this field. It can be concluded that there is a high level of scattering in this field, with several effective nations, such as the USA.

Keywords: bibliometric; green supply chain modelling; GSCM; sustainability. (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:35:y:2020:i:3:p:314-344

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