Mapping ISO 9001:2015 Compliance in Ecuadorian SMEs: An HJ-Biplot and Cluster Analysis

A. Peralta et al.

Quality Innovation Prosperity2025https://doi.org/10.12776/qip.v29i2.2223article
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0.50

What the paper says

This study aims to quantify clause-level compliance and profile the types of organisations that drive this disparity. Methodology/Approach: A structured questionnaire validated by certified auditors (Cronbach’s α = 0.83) was administered to 291 commercial, industrial, and service SMEs in Ecuador. The instrument covers all twelve ISO 9001 clause families. An HJ-Biplot analysis retained 70.1% of the total variance, and a k-means clustering approach, optimised using the Calinski–Harabasz index, segmented firms based on quality-management maturity level. Findings: Three organisational strata emerged. High adherence was observed in Document Control, Product/Service Requirements, and Continuous Improvement, while Resource Procurement showed high uncertainty. Sector, legal structure, and foreign ownership were significant predictors of cluster membership. Research Limitation/Implication: This study employed a cross-sectional design, which may not capture temporal improvements. Originality/Value of paper: Beyond certification status, the findings highlight the importance of internalising leadership and planning clauses to achieve substantive quality gains. This study identifies key policy levers—training subsidies, soft credit lines, and best-practice diffusion—that can strengthen SME competitiveness in emerging markets.

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https://doi.org/https://doi.org/10.12776/qip.v29i2.2223

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@article{a.2025,
  title        = {{Mapping ISO 9001:2015 Compliance in Ecuadorian SMEs: An HJ-Biplot and Cluster Analysis}},
  author       = {A. Peralta et al.},
  journal      = {Quality Innovation Prosperity},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.12776/qip.v29i2.2223},
}

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Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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