22 Years of Lean Supply Chain Management: a science mapping-based bibliometric analysis
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, journ...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad de Jaén |
| Repositorio: | RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén |
| OAI Identifier: | oai:dnet:ruja________::0cedf0d617fc5610566452c48a4e016b |
| Acceso en línea: | https://hdl.handle.net/10953/4124 |
| Access Level: | acceso abierto |
| Palabra clave: | lean supply chain management bibliometrics science mapping citations co-word analysis state-of-the-art |
| Sumario: | 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. |
|---|