This research examined the literature on social life-cycle evaluation (S-LCA) revealed within the final 15 years (2003–2018) utilizing bibliometric strategies. Making use of scientific mapping and analyzing publication efficiency, the research describes the construction of and traits in S-LCA publications by way of associated topic classes, authors, journals, international locations, and extremely cited articles. Challenges and analysis gaps within the S-LCA literature had been additionally explored. The content material of associated papers revealed within the ISI Net of Science databases was examined to determine the primary themes investigated, evolution of publication exercise, and most consultant components. Analyses had been performed with SciMAT software program. This software allows researchers to map analysis specialties by extracting qualitative data within the specialised literature and representing it utilizing quantitative measures. The outcomes present speedy and exponential progress of the S-LCA analysis line prior to now ten years, with a transparent upward pattern in associated publications (principally case research), particularly after publication of the UNEP/SETAC Pointers for Social Life Cycle Evaluation of Merchandise in 2009: 66% of all articles revealed on S-LCA had been revealed throughout the interval 2015–2018, primarily by European authors. The findings additionally delineate S-LCA as a extremely fragmented analysis area that has been utilized to numerous sectors (agriculture, bioenergy, transport, water administration, chemical merchandise, electronics, and so forth.), primarily in non-European international locations. Crucial questions regarding strategies, framework, paradigms, and indicators stay to be resolved. This research offers perception into the publication efficiency of S-LCA, characterizing its mental construction and salient authors and works. In figuring out hotspots within the S-LCA analysis, the research offers a helpful state-of-the-art reference information for lecturers and divulges important analysis gaps and potential analysis avenues for future research to advance in consolidating the self-discipline.
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