Impact of Supplier Quality Assurance Practices on Product Quality in Export-Oriented Garment Manufacturers in Pakistan

The primary objectives of this study are to analyze the effectiveness of supplier quality management frameworks, evaluate the impact of training programs and Quality Management Systems (QMS) on quality control, and assess the moderating role of supplier relationships and regulatory compliance in enforcing quality standards. Additionally, this research seeks to identify key challenges faced by manufacturers, such as workforce skill gaps, inconsistent buyer requirements, and high compliance costs, while recommending strategic interventions to strengthen supplier quality governance in the Pakistani garment sector. Aims & Objectives: The primary objectives of this study are to analyze the effectiveness of supplier quality management frameworks, evaluate the impact of training programs and Quality Management Systems (QMS) on quality control, and assess the moderating role of supplier relationships and regulatory compliance in enforcing quality standards. Additionally, this research seeks to identify key challenges faced by manufacturers, such as workforce skill gaps, inconsistent buyer requirements, and high compliance costs, while recommending strategic interventions to strengthen supplier quality governance in the Pakistani garment sector. Methodology: A quantitative research design was adopted, utilizing structured surveys, semi-structured interviews, factory observations, and inspection reports collected from 13 export-oriented denim manufacturers in Pakistan. The study employed descriptive and inferential statistical techniques, including Chi-Square analysis, regression modeling, mediation, and moderation analysis, to establish relationships between SQA practices and product quality performance. Qualitative insights from industry experts and key stakeholders further validated the statistical findings, providing a comprehensive assessment of supplier quality assurance implementation in the sector. Results & Findings: The results indicate that effective supplier selection, rigorous compliance monitoring, and process standardization significantly reduce fabric-related defects, stitching errors, and finishing inconsistencies. Furthermore, workforce training, process automation, and the adoption of Industry 4.0 technologies emerged as critical mediators in improving supplier quality outcomes. The study also found that supplier-buyer collaboration, regulatory enforcement, and digital quality tracking systems play a moderating role in optimizing supplier quality assurance strategies. Notably, the adoption of AI-driven quality control mechanisms, blockchain-enabled traceability, and data-driven supply chain monitoring were identified as emerging technologies with the potential to revolutionize supplier quality management in the garment industry. Conclusion: This study reinforces the strategic importance of Supplier Quality Assurance (SQA) practices in ensuring high product quality, meeting global compliance standards, and enhancing Pakistan’s competitive positioning in international textile markets. The research provides practical recommendations for manufacturers, policymakers, and industry stakeholders, emphasizing the need for advanced technological integration, structured workforce training, and policy reforms to optimize supplier quality assurance frameworks. Future research should explore cross-industry comparisons, regional differences in supplier quality enforcement, and the long-term impact of digital transformation on supplier quality management to further advance the field of quality assurance in global supply chains.

Authors

Institutions

Publication Details

Journal
ACADEMIA International Journal for Social Sciences
Published
2025-09-04
DOI
https://doi.org/10.63056/acad.004.03.0705
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Supplier Quality Assurance Practices on Product Quality in Export-Oriented Garment Manufacturers in Pakistan

Kamran Moosa, Muhammad Asif, Faisal Shahzad
ACADEMIA International Journal for Social Sciences
Quality and Supply Management
article

Impact of Supplier Quality Assurance Practices on Product Quality in Export-Oriented Garment Manufacturers in Pakistan

Kamran Moosa, Muhammad Asif, Faisal Shahzad
article en

Abstract

The primary objectives of this study are to analyze the effectiveness of supplier quality management frameworks, evaluate the impact of training programs and Quality Management Systems (QMS) on quality control, and assess the moderating role of supplier relationships and regulatory compliance in enforcing quality standards. Additionally, this research seeks to identify key challenges faced by manufacturers, such as workforce skill gaps, inconsistent buyer requirements, and high compliance costs, while recommending strategic interventions to strengthen supplier quality governance in the Pakistani garment sector. Aims & Objectives: The primary objectives of this study are to analyze the effectiveness of supplier quality management frameworks, evaluate the impact of training programs and Quality Management Systems (QMS) on quality control, and assess the moderating role of supplier relationships and regulatory compliance in enforcing quality standards. Additionally, this research seeks to identify key challenges faced by manufacturers, such as workforce skill gaps, inconsistent buyer requirements, and high compliance costs, while recommending strategic interventions to strengthen supplier quality governance in the Pakistani garment sector. Methodology: A quantitative research design was adopted, utilizing structured surveys, semi-structured interviews, factory observations, and inspection reports collected from 13 export-oriented denim manufacturers in Pakistan. The study employed descriptive and inferential statistical techniques, including Chi-Square analysis, regression modeling, mediation, and moderation analysis, to establish relationships between SQA practices and product quality performance. Qualitative insights from industry experts and key stakeholders further validated the statistical findings, providing a comprehensive assessment of supplier quality assurance implementation in the sector. Results & Findings: The results indicate that effective supplier selection, rigorous compliance monitoring, and process standardization significantly reduce fabric-related defects, stitching errors, and finishing inconsistencies. Furthermore, workforce training, process automation, and the adoption of Industry 4.0 technologies emerged as critical mediators in improving supplier quality outcomes. The study also found that supplier-buyer collaboration, regulatory enforcement, and digital quality tracking systems play a moderating role in optimizing supplier quality assurance strategies. Notably, the adoption of AI-driven quality control mechanisms, blockchain-enabled traceability, and data-driven supply chain monitoring were identified as emerging technologies with the potential to revolutionize supplier quality management in the garment industry. Conclusion: This study reinforces the strategic importance of Supplier Quality Assurance (SQA) practices in ensuring high product quality, meeting global compliance standards, and enhancing Pakistan’s competitive positioning in international textile markets. The research provides practical recommendations for manufacturers, policymakers, and industry stakeholders, emphasizing the need for advanced technological integration, structured workforce training, and policy reforms to optimize supplier quality assurance frameworks. Future research should explore cross-industry comparisons, regional differences in supplier quality enforcement, and the long-term impact of digital transformation on supplier quality management to further advance the field of quality assurance in global supply chains.

ACADEMIA International Journal for Social SciencesVol. 4(3)
Superior University (PK)
Openalex Percentile: Top 61%
Quality and Supply Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.