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VOL. 8, ISSUE 2 (2026)
Regression-based analysis of the impact of quality management systems (QMS) implementation on productivity enhancement
Authors
Vitthal S Rathod
Abstract
Quality Management Systems (QMS) have become central to organizational
strategy in achieving operational excellence and productivity enhancement.
Frameworks such as ISO 9001 developed by the International Organization for
Standardization, Total Quality Management (TQM), and Six Sigma provide
structured mechanisms for process standardization, defect reduction, and
continuous improvement. This study investigates the impact of QMS practices on
organizational productivity using a regression-based analytical approach. A
structured dataset of 50 organizations was developed to examine the
relationship between process standardization, employee involvement, customer
satisfaction, cost reduction, and productivity improvement. Multiple regression
analysis, t-tests, ANOVA, and coefficient of determination (R²) were employed
to evaluate statistical significance. The findings reveal a strong positive
relationship between QMS implementation and productivity enhancement, with
statistically significant explanatory power. The study confirms that QMS
adoption functions as a strategic driver of sustainable competitive advantage.
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Pages:1-3
How to cite this article:
Vitthal S Rathod "Regression-based analysis of the impact of quality management systems (QMS) implementation on productivity enhancement". International Journal of Management and Commerce, Vol 8, Issue 2, 2026, Pages 1-3
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