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Indian MSMEs–Review of Dynamic Capabilities with Lean Production

Hemant Harishchandra Kore et al.

International Journal of Operations and Quantitative Management2022https://doi.org/10.46970/2021.27.4.4article
AJG 1ABDC C
Weight
0.48

What the paper says

Indian MSMEs must respond quickly to the fast-changing requirements using dynamic capabilities gained while adopting strategic changes like flexibility and a lean management system (LMS). The present research aims to review the depth and effect of LMS and the understanding of lean philosophy in Indian MSMEs. First, a systematic literature review (SLR) approach using a four-stage process cycle of Plan-Do-Check-Propose (PDCP) applied with a unique integration of Plan-Do-Check-Act (PDCA) in a Plan-Do-Check-(Analyse/Propose) (PDCP) during analysis and synthesis of the data. The SLR captures the need for lean manufacturing practices and its advantages in MSMEs with critical lean barriers. Next, the Government of India (GOI) measures to promote LMS and "Lack of awareness of lean manufacturing competitiveness scheme (LMCS)" among Indian MSMEs are reported. Finally, the study concludes with gaps and improvements needed to strengthen the effectiveness of the schemes, together with the requirement of studies to appraise the direct effects of GOI promotional measures on MSME's performance in a longer perspective.

6 citations

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https://doi.org/https://doi.org/10.46970/2021.27.4.4

Or copy a formatted citation

@article{hemant2022,
  title        = {{Indian MSMEs–Review of Dynamic Capabilities with Lean Production}},
  author       = {Hemant Harishchandra Kore et al.},
  journal      = {International Journal of Operations and Quantitative Management},
  year         = {2022},
  doi          = {https://doi.org/https://doi.org/10.46970/2021.27.4.4},
}

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Indian MSMEs–Review of Dynamic Capabilities with Lean Production

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Evidence weight

0.48

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

F · citation impact0.33 × 0.4 = 0.13
M · momentum0.80 × 0.15 = 0.12
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.