Tse, Y.K., Zhang, M., Zeng, W. orcid.org/0000-0003-0878-1465 et al. (1 more author) (2021) Perception of supply chain quality risk: Understanding the moderation role of supply market thinness. Journal of Business Research, 122. pp. 822-834. ISSN: 0148-2963
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Supply chain quality risk; Supply market thinness; Technology uncertainty; Traceability uncertainty |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Analytics, Technology & Ops Department |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Sep 2025 16:25 |
Last Modified: | 10 Sep 2025 16:25 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jbusres.2020.07.003 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:231068 |