The Deconstruction of Low Carbon Supply Chain Management Research: An Interpretation on the Knowledge Mapping and Content Analysis

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Journal of Central University of Finance & Economics ›› 2022, Vol. 0 ›› Issue (10) : 94-108.

LIU Xiao-hong, GUO Zhao-kun, SUN Rui-qing, WANG Shi-yun

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Abstract

With the advent of low-carbon economy, a large body of literature on low-carbon supply chain management(LCSCM)has emerged.In face of new knowledge mapping, subject content and theory development, scholars should take on the responsibility of advancing knowledge from the existing body of work.To this end, the paper employed two techniques, i.e.CiteSpace and content analysis, to analyse related articles, which were identified from two databases, i.e.China national knowledge infrastructure(CNKI)and Web of Science, during the 2011-2021 timescale.An in-depth analysis building upon three dimensions, i.e.subject matters, theoretical grounds and methodological approaches, reveals that, from the perspective of “organization-supply chain-environment”, the LCSCM research can be viewed from four categories, i.e.low-carbon operations by supply chain members, low-carbon collaboration, financial services of low-carbon supply chains and institutional arrangements for low-carbon supply chains; some theories have been applied to explain LCSCM phenomenon, but more theories from a variety of disciplines are demanded; different methods have their own merits, yet most of the studies rely heavily on mathematical model; the field is still developing and a solid body of theory specific to LCSCM is needed.The present paper made an attempt to interpret the research findings by leveraging the skills of knowledge mapping and content analysis.It should facilitate the research progress of LCSCM and theory development.

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Low-carbon supply chain management / CiteSpace / Knowledge mapping / Content analysis

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LIU Xiao-hong, GUO Zhao-kun, SUN Rui-qing, WANG Shi-yun. The Deconstruction of Low Carbon Supply Chain Management Research: An Interpretation on the Knowledge Mapping and Content Analysis[J]. Journal of Central University of Finance & Economics, 2022, 0(10): 94-108

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