Mapping the intellectual landscape of lean supply chain management (LSCM): a bibliometric and network analysis (2000–2024)
リーン・サプライチェーン・マネジメント(LSCM)の知の景観を描く:計量書誌学とネットワーク分析(2000–2024) (AI 翻訳)
H. Akram
🤖 gxceed AI 要約
日本語
本研究は、2000年から2024年までのリーン・サプライチェーン・マネジメント(LSCM)に関する684件の文献を対象に、計量書誌学とネットワーク分析を実施した。その結果、LSCMの研究は2020年以降急増し、主に5つのテーマクラスタ(リーン実施、持続可能・グリーンLSCM、デジタルLSCMとインダストリー4.0、アジリティ・レジリエンス・リスク、定量的評価)に分類されることを明らかにした。このマッピングは、LSCMの進化を俯瞰し、今後の研究と実務の方向性を示している。
English
This study conducts a bibliometric and network analysis of 684 publications on Lean Supply Chain Management (LSCM) from 2000 to 2024. It identifies five major thematic clusters: Lean Implementation, Sustainable and Green Lean Supply Chains, Digital Lean Systems and Industry 4.0, Agility and Resilience, and Quantitative Assessment. The results show a significant increase in publications after 2020, and the mapping provides a strategic roadmap for future LSCM research and practice.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本はリーン生産方式の発祥地であり、本稿はLSCMの研究動向を俯瞰し、サステナビリティやデジタル化との融合を示している。日本のGX戦略においても、サプライチェーンの効率化は排出削減に寄与するため、示唆に富む。
In the global GX context
This bibliometric study maps the evolution of lean supply chain management, highlighting its intersection with sustainability, digitalization, and resilience. For global GX practitioners, it provides a roadmap for integrating lean principles with decarbonization efforts, as lean efficiency can reduce waste and emissions.
👥 読者別の含意
🔬研究者:Provides a comprehensive overview of LSCM research clusters, trends, and gaps, useful for positioning future studies.
🏢実務担当者:Offers insights into how lean practices are evolving with sustainability and digitalization, guiding supply chain improvements.
📄 Abstract(原文)
The purpose of this study is to conduct an exhaustive bibliometric and network analysis of publications on the topic of Lean Supply Chain Management (LSCM) dated from 2000 to 2024. This will be designed for the purpose of identifying the main contributing authors, mapping thematic clusters and highlighting deficiencies in the research to guide both future research and practitioners in this domain. Based on a dataset comprising 684 publications indexed in Scopus, the research uses a methodological structure that includes collecting data, descriptive bibliometric analysis, performance analysis, science mapping (biographic coupling, co-citation, co-authorship) and thematic clustering. For the purpose of visualising academic networks and drawing relevant insights, tools which included Excel, BibExcel and VOSviewer were used. According to the analysis findings, the number of publications in the LSCM field has increased significantly, specifically after 2020, which can be explained by various factors such as new technologies, international crises and calls for enhanced sustainability. Thematic analysis revealed five main clusters: (1) Lean Implementation and Industrial Process Improvement, (2) Sustainable and Green Lean Supply Chains, (3) Digital Lean Systems and Industry 4.0, (4) Agility, Resilience and Risk and (5) Quantitative Assessment and Lean Performance. Mapping of the authors, institutions, nations and journals was conducted along with analysis of how the themes evolved over time. The outcomes have significant practical value for scholars, policymakers and stakeholders in the industry aiming to seek alignment with lean supply chain practices and issues gaining increased attention such as sustainability, resilience and digitalisation. The bibliometric mapping of LSCM provided in this study offers the latest and most comprehensive analysis conducted thus far in the literature. By combining quantitative measurements with the interpretation of qualitative themes, a strategic roadmap is provided for how lean thinking in the context of global supply chains will continue to evolve in the future.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1108/ijlss-06-2025-0155first seen 2026-05-05 22:04:13
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