Mapping the intellectual landscape of lean supply chain management (LSCM): a bibliometric and network analysis (2000–2024)
Hafiz Wasim Akram
Abstract
Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Originality/value 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.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.