Perception of Supply Chain Quality Risk: Understanding the Moderation Role of Supply Market Thinness

Ying Kei Tse*, Minhao Zhang, Wenjuan Zeng, Jie Ma

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

5 Citations (Scopus)
2 Downloads (Pure)


This study scrutinises the mechanism between uncertainty factors and supply chain quality risk (SCQR), and to examine the moderating role of supply market thinness (SMT). Drawing on agency theory and resource dependency theory, a conceptual model for the SCQR is proposed. Based on the survey data obtained from 202 managers, we use the structural equation modelling method to test our conceptual model, and the multiple group method to conduct the moderating analysis. We find that the uncertainty factors are associated with managers' perceptions of the probability and magnitude of SCQR. Moderation analysis show that the impacts of technology uncertainty and traceability uncertainty on probability of SCQR, and the impacts of technology uncertainty, testability uncertainty and product complexity on magnitude of SCQR, are moderated by SMT. The validated model provides practitioners with the direction to scrutinise the nature of SCQR, in order to establish effective practical approaches to manage it.
Original languageEnglish
JournalJournal of Business Research
Early online date23 Jul 2020
Publication statusE-pub ahead of print - 23 Jul 2020


  • Supply chain quality risk
  • Supply market thinness
  • Technology uncertainty
  • Traceability uncertainty


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