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Leaning towards resilience: mapping and exploring the literature on lean management

Anil Yasin Ar

Production & Manufacturing Research2025https://doi.org/10.1080/21693277.2025.2512753article
AJG 1
Weight
0.44

What the paper says

Unprecedented disruptions from COVID-19 compelled firms to alter daily operations, leading many to adopt lean management practices as a coping strategy. However, the literature lacks clarity on which practices most effectively enhance resilience. Addressing this gap, this paper systematically maps the domain using the PRISMA protocol, analyzing 68 manuscripts from Scopus and Web of Science (2020–2023). Findings reveal that lean management significantly strengthens data processing, value mapping, and resource allocation, collectively improving enterprise resilience. Specifically, practices such as big data optimization, scenario analysis, and AI-based automation emerged as essential tools during COVID-19. This study offers theoretical and practical insights, elucidating how lean management enhances resilience, contributes to enterprise resilience, and advances the field of lean management research.

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https://doi.org/https://doi.org/10.1080/21693277.2025.2512753

Or copy a formatted citation

@article{anil2025,
  title        = {{Leaning towards resilience: mapping and exploring the literature on lean management}},
  author       = {Anil Yasin Ar},
  journal      = {Production & Manufacturing Research},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1080/21693277.2025.2512753},
}

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Leaning towards resilience: mapping and exploring the literature on lean management

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Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 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.