This study aims to explore the relationships among the five components of supply chain (SC) resilience (SCRES): visibility, velocity, flexibility, robustness and collaboration and their impacts on the SC performance under disruption (SCPUD).
Five SCRES components are identified from the literature review and data are collected using an web survey from 113 manufacturing companies in Taiwan. The data are analyzed by structured equation modeling with the partial least square solution. Two-stage least-squares (2SLS) regression was used to test the potential endogeneity of SC collaboration (SCC).
The results reveal that SCC is an exogenous driver of SCRES; it directly affects visibility, velocity, flexibility, robustness and SCPUD. Furthermore, SC flexibility is the only component of SC agility that directly affects SCPUD; it is influenced directly by SC velocity and indirectly by SC visibility through SC velocity. SC visibility is a vital agility component that positively influences SC velocity and SC robustness.
The data in this study are cross-sectional and the sample size of 113 is relatively small. The relationship between SC robustness and SCPUD needs a longer observation period to reveal. The logistic issue in the shortage of carriers caused by the pandemic has been overlooked.
A firm should enhance its collaboration and flexibility in the SC as they both are the critical antecedents of SC performance (SCP) during the disruption period.
This study integrates visibility, velocity, flexibility, robustness and collaboration into a complete framework of SCRES. The dependent variable, SCPUD, measures SC performance (SCP) under the disruption caused by the COVID-19 pandemic. It is the first study to investigate the associations of the six constructs in a research model.
This research was partially supported by the Ministry of Science and Technology in Taiwan (Grant Nos. 108-2410-H-004-205 and 108-2410-H-194-106-MY3). The authors give special thanks to Prof. Woo-Tsong Lin of Department of Management Information Systems at National Chengchi University in Taiwan for his kind assistance in providing constructive review comments.
Author credit statement: Shih-Jung Juan: Conceptualization, methodology, software, formal analysis, validation, investigation, data curation, writing-original draft. Eldon Y. Li: Conceptualization, methodology, formal analysis, validation, writing-review and editing, visualization. Wei-Hsi Hung: Supervision, project administration, funding acquisition, writing-review.
Declarations of interest: None
Submission declaration and verification: The authors formally declare that at least two-third of the content in this paper has been changed from the original work of themselves, which was published previously in IEEE ICIEA 2020 conference. It is not being reviewed by any editorial office of publishers. All cited materials have been properly credited with citations in the contexts and the References section.
Juan, S.-J., Li, E.Y. and Hung, W.-H. (2022), "An integrated model of supply chain resilience and its impact on supply chain performance under disruption", The International Journal of Logistics Management, Vol. 33 No. 1, pp. 339-364. https://doi.org/10.1108/IJLM-03-2021-0174
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