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Stream/Area:
-
Subject:
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Paper ID:
IJSREM66797
Volume:
10 |
8 |
Aug 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Management
Lovely Professional University
Management
Lovely Professional University
Management
Lovely Professional University
Management
Lovely Professional University
Management
Lovely Professional University
Management
Lovely Professional University
Management
Lovely Professional University
Management
Lovely Professional University
Manufacturing performance depends on more than machinery and technology; it also reflects employee capability, disciplined quality practices, and the ability to improve production processes over time. This study examined the relationship of workforce training, quality management practices, and continuous improvement initiatives with production performance in a manufacturing context. A quantitative, descriptive design was used and primary data were collected through a structured questionnaire from 164 respondents associated with manufacturing-related work areas. Responses were analysed in SPSS using descriptive statistics, reliability testing, Pearson correlation, multiple regression, and ANOVA. The construct means were close to the neutral range, indicating moderate rather than strong agreement with the workplace practices measured. Workforce training (r = 0.586), quality management (r = 0.542), and continuous improvement (r = 0.514) were each positively associated with the reported Production Performance Score (p < .001). The regression model was significant, F = 102.091, p < .001, with R² = 0.657. Workforce training showed the largest standardized coefficient (β = 0.457). The findings suggest that manufacturing organisations should strengthen employee development, quality discipline, and systematic improvement activities while interpreting the results with attention to measurement limitations in the source study.
KEYWORDS
This study examined workforce training, quality management practices, and continuous improvement initiatives in relation to production performance using questionnaire responses from 164 manufacturing-related respondents. The descriptive findings showed moderate, near-neutral assessments of the three practice areas. However, each predictor was positively and significantly associated with the reported Production Performance Score, and the combined regression model explained a substantial proportion of its reported variance within the sample. Workforce Training showed the largest standardized regression coefficient, followed by Continuous Improvement and Quality Management. The findings support the practical importance of employee capability, disciplined quality systems, and improvement-oriented work practices in manufacturing. They also reinforce the broader research view that technology and production systems depend on organisational capabilities and human participation for effective implementation. Because the study used convenience sampling and the source measurement contains issues requiring verification, the results should be interpreted cautiously. Even so, the study provides a useful basis for manufacturing organisations to consider training, quality discipline, and continuous improvement as connected components of production performance rather than isolated management practices.
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Publication Date
8/17/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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