DOEMS-Artículos
URI permanente para esta colecciónhttps://hdl.handle.net/10953/259
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Examinando DOEMS-Artículos por Materia "bibliometrics"
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Ítem 22 Years of Lean Supply Chain Management: a science mapping-based bibliometric analysis(Taylor & Francis, 2020-07-28) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan Manuel; Cobo, M.J.This article examines how the research into Lean Supply Chain Management (LSCM) has evolved over the period 1996-2018 with the identification of the main issues explored and future trends. A performance bibliometric analysis has been conducted through a study of published documents, citations, journal impact factor, h-index, most cited papers and authors, and data on the geographic distribution of publications. More relevantly, a science mapping analysis has been performed with SciMAT bibliometric analysis software using co-word networks in a longitudinal overview. The large number of studies of LSCM published has enabled a conceptual evolution map to be constructed of the way that this research has developed. The results have enabled us to identify four thematic areas in the LSCM field: Methods, Key factors, Internal efficiency, and Performance.Ítem A bibliometric study of Lean Supply Chain Management research: 1996-2020(Taylor & Francis, 2021-11-27) Garcia-Buendia, Noelia; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelLean Supply Chain Management is an emerging research field in Operations Management that is attracting growing attention from researchers and practitioners. This paper aims to present a comprehensive analysis of the Lean Supply Chain Management literature to understand the influence, basic research characteristics, interrelationships, and productivity of the research in this field. The present study uses BibExcel and VOSviewer software to conduct thorough bibliometric and network analyses of 715 papers published in the Web of Science database over the period 1996-2020. The use of bibliometric methods has enabled the identification of current and emerging research clusters to detect some key research topics, interrelations, and collaboration patterns. Moreover, this analysis has enabled to draw numerous conclusions and propose a roadmap for future research in the field. This paper, therefore, provides some new insights not previously evaluated in other reviews of Lean Supply Chain Management that can help researchers to understand the evolution of research trends through a proposed classification of the literature on this topic.Ítem Squaring circular supply chain management: A comprehensive overview of emerging themes and trends(Wiley, 2024-08-13) Garcia-Buendia, Noelia; Nuñez-Merino, Miguel; Moyano-Fuentes, José; Maqueira-Marín, Juan ManuelCircular supply chain management (CSCM) is the revolutionary integration of circular principles into supply chain management and the supply chain environment to achieve zero waste and outperform traditional supply chain sustainability models in advancing supply chain circularity. This study examines CSCM and the corresponding literature to highlight key research themes and trends. An advanced iteration of the Systematic Science Mapping analysis methodology has been designed and implemented with a Named Entity Recognition approach to extract relevant information from scientific articles. Key themes are revealed such as essential capabilities for circularity in the supply chain, circular business models, sustainable supplier selection and blockchain technology's role. The article gives insights into current research and identifies emerging trends in CSCM. This exploration aims to provide a nuanced understanding of CSCM's transformative power and shed light on its practical implications.