Analyzing quality management in agri-food supply chains: the case of Fuding White Tea

Jianlan Zhong; Jeff Jia

doi:10.1080/13675567.2025.2468485

Analyzing quality management in agri-food supply chains: the case of Fuding White Tea

Jianlan Zhong, Jeff Jia

The York Management School

Research output: Contribution to journal › Article › peer-review

Abstract

This study investigates the factors influencing quality management systems (QMS) in the agri-food supply chain (SC), specifically focusing on Fuding White Tea. We employed a comprehensive case study methodology, conducting four rounds of data collection between 2021 and 2022. Primary data were gathered through 36 semi-structured interviews with stakeholders involved in the Fuding white tea supply chain quality management (SCQM) ecosystem. The programmed grounded theory is used to identify three key components: participant traits, internal development and system enhancement. Shadow cases, like Anxi Tieguanyin and Wuyi Rock Tea, were integrated. The study reveals how Fuding White Tea's experiences compare with others, enriching understanding of traditional and modern QMS. The findings offer theoretical insights and practical guidance for enhancing agri-food SC quality management.

Original language	English
Number of pages	35
Journal	International Journal of Logistics Research and Applications
Early online date	21 Feb 2025
DOIs	https://doi.org/10.1080/13675567.2025.2468485
Publication status	E-pub ahead of print - 21 Feb 2025

Access to Document

10.1080/13675567.2025.2468485

Cite this

@article{4b2581c18c3d4663ae5bc10bf26a8fba,

title = "Analyzing quality management in agri-food supply chains: the case of Fuding White Tea",

abstract = "This study investigates the factors influencing quality management systems (QMS) in the agri-food supply chain (SC), specifically focusing on Fuding White Tea. We employed a comprehensive case study methodology, conducting four rounds of data collection between 2021 and 2022. Primary data were gathered through 36 semi-structured interviews with stakeholders involved in the Fuding white tea supply chain quality management (SCQM) ecosystem. The programmed grounded theory is used to identify three key components: participant traits, internal development and system enhancement. Shadow cases, like Anxi Tieguanyin and Wuyi Rock Tea, were integrated. The study reveals how Fuding White Tea's experiences compare with others, enriching understanding of traditional and modern QMS. The findings offer theoretical insights and practical guidance for enhancing agri-food SC quality management.",

author = "Jianlan Zhong and Jeff Jia",

year = "2025",

month = feb,

day = "21",

doi = "10.1080/13675567.2025.2468485",

language = "English",

journal = "International Journal of Logistics Research and Applications",

issn = "1367-5567",

publisher = "Taylor and Francis Ltd.",

}

TY - JOUR

T1 - Analyzing quality management in agri-food supply chains

T2 - the case of Fuding White Tea

AU - Zhong, Jianlan

AU - Jia, Jeff

PY - 2025/2/21

Y1 - 2025/2/21

N2 - This study investigates the factors influencing quality management systems (QMS) in the agri-food supply chain (SC), specifically focusing on Fuding White Tea. We employed a comprehensive case study methodology, conducting four rounds of data collection between 2021 and 2022. Primary data were gathered through 36 semi-structured interviews with stakeholders involved in the Fuding white tea supply chain quality management (SCQM) ecosystem. The programmed grounded theory is used to identify three key components: participant traits, internal development and system enhancement. Shadow cases, like Anxi Tieguanyin and Wuyi Rock Tea, were integrated. The study reveals how Fuding White Tea's experiences compare with others, enriching understanding of traditional and modern QMS. The findings offer theoretical insights and practical guidance for enhancing agri-food SC quality management.

AB - This study investigates the factors influencing quality management systems (QMS) in the agri-food supply chain (SC), specifically focusing on Fuding White Tea. We employed a comprehensive case study methodology, conducting four rounds of data collection between 2021 and 2022. Primary data were gathered through 36 semi-structured interviews with stakeholders involved in the Fuding white tea supply chain quality management (SCQM) ecosystem. The programmed grounded theory is used to identify three key components: participant traits, internal development and system enhancement. Shadow cases, like Anxi Tieguanyin and Wuyi Rock Tea, were integrated. The study reveals how Fuding White Tea's experiences compare with others, enriching understanding of traditional and modern QMS. The findings offer theoretical insights and practical guidance for enhancing agri-food SC quality management.

U2 - 10.1080/13675567.2025.2468485

DO - 10.1080/13675567.2025.2468485

M3 - Article

SN - 1367-5567

JO - International Journal of Logistics Research and Applications

JF - International Journal of Logistics Research and Applications

ER -