摘要
Quality management has received increasing attention in supply chain management. The concept of supply chain quality integration (SCQI) is used to explain how a focal manufacturer integrates with its upstream suppliers and downstream customers for quality improvement. Although the contingent effects of SCQI on quality-related performance have been studied, SCQI patterns and their relationships with performance remain unknown. Using data collected from 317 manufacturers across 10 countries, this study adopts a configuration approach to identify SCQI patterns and their relationships with quality-related performance. Five SCQI patterns composed of different levels of supplier, internal, and customer quality integration are identified. We describe these SCQI patterns in terms of the strength and balance of manufacturers’ quality integration. The ANOVA results show that quality-related performance varies according to different SCQI patterns. Interestingly, product quality is not distinguishable across SCQI patterns. Delivery performance is improved in patterns with a high level of balance of quality integration. The cost of quality is lower in patterns with a high level of customer quality integration. Flexibility is achieved in patterns with high balance and strength of quality integration. This study contributes to the supply chain management and quality management literature, and provides suggestions for managers to adopt different SCQI configurations to improve different types of quality-related performance.
源语言 | 英语 |
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页(从-至) | 236-246 |
期刊 | International Journal of Production Economics |
卷 | 207 |
DOI | |
出版状态 | 已出版 - 2019 |
Corresponding author email
kayaimagine@gmail.com关键词
- High performance manufacturing
- Quality performance
- Supply chain quality integration
- Taxonomy
成果物的来源
- ABDC-A*
- SCIE
- Scopus
指纹
探究 'Supply chain quality integration: A taxonomy perspective' 的科研主题。它们共同构成独一无二的指纹。引用此
Huo, B., Zhao, X., Zhu, K., & Ye, Y. (2019). Supply chain quality integration: A taxonomy perspective. International Journal of Production Economics, 207, 236-246. https://doi.org/10.1016/j.ijpe.2016.05.004