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    题名: An integrated model of supply chain resilience and its impact on supply chain performance under disruption
    作者: 洪為璽
    Hung, Wei-His
    Juan, Shih-Jung;Li, Eldon Y.
    贡献者: 資管系
    关键词: Supply chain resilience;Agility;Collaboration;Flexibility;Robustness;Performance under disruption
    日期: 2022-02
    上传时间: 2022-09-21 11:54:43 (UTC+8)
    摘要: Purpose
    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).
    Design/methodology/approach
    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).
    Findings
    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.
    Research limitations/implications
    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.
    Practical implications
    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.
    Originality/value
    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.
    關聯: The International Journal of Logistics Management, Vol.33, No.1, pp.339-364
    数据类型: article
    DOI 連結: https://doi.org/10.1108/IJLM-03-2021-0174
    DOI: 10.1108/IJLM-03-2021-0174
    显示于类别:[資訊管理學系] 期刊論文

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