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22 Years of Lean Supply Chain Management: a science mapping-based bibliometric analysis

Author

Listed:
  • Noelia Garcia-Buendia
  • José Moyano-Fuentes
  • Juan Manuel Maqueira-Marín
  • M. J. Cobo

Abstract

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.

Suggested Citation

  • Noelia Garcia-Buendia & José Moyano-Fuentes & Juan Manuel Maqueira-Marín & M. J. Cobo, 2021. "22 Years of Lean Supply Chain Management: a science mapping-based bibliometric analysis," International Journal of Production Research, Taylor & Francis Journals, vol. 59(6), pages 1901-1921, March.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:6:p:1901-1921
    DOI: 10.1080/00207543.2020.1794076
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    Cited by:

    1. Samira FRIOUI & Amel GRAA, 2024. "Bibliometric Analysis of Artificial Intelligence in the Scope of E-Commerce: Trends and Progress over the Last Decade," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(1), pages 5-24, February.
    2. Irena Sajovic & Bojana Boh Podgornik, 2022. "Bibliometric Analysis of Visualizations in Computer Graphics: A Study," SAGE Open, , vol. 12(1), pages 21582440211, January.
    3. Núñez-Merino, Miguel & Maqueira-Marín, Juan Manuel & Moyano-Fuentes, José & Castaño-Moraga, Carlos Alberto, 2022. "Industry 4.0 and supply chain. A Systematic Science Mapping analysis," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    4. Furstenau, Leonardo Bertolin & Zani, Carolina & Terra, Stela Xavier & Sott, Michele Kremer & Choo, Kim-Kwang Raymond & Saurin, Tarcisio Abreu, 2022. "Resilience capabilities of healthcare supply chain and supportive digital technologies," Technology in Society, Elsevier, vol. 71(C).

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