信息处理和数字供应链在通过供应链风险管理提高供应链复原力方面的作用

A. Rashid, Rizwana Rasheed, A. H. Ngah, Mahawattage Dona Ranmali Pradeepa Jayaratne, S. Rahi, Muhammad Nawaz Tunio
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摘要

目的供应链(SC)管理比以往任何时候都更具挑战性。值得注意的是,大流行病引发了全球性的经济破坏,在制造业中出现了 "黑天鹅"。因此,本研究旨在通过供应链风险管理研究信息处理和数字供应链在供应链复原力中的作用。作者使用了从制造业 251 名 SC 专业人员处收集的数据,并使用定量方法对数据进行了分析。数据采用偏最小二乘法-结构方程模型进行分析。为确认高阶测量模型,作者使用了 SmartPLS 第 4 版软件。研究结果本研究发现,信息处理能力(高阶中的破坏性导向和可见性)和数字 SC 显著正向影响 SC 风险管理和复原力。同样,SC 风险管理对信息处理能力和数字 SC 之间的关系起着积极的中介作用。然而,研究发现信息处理能力对 SC 风险管理的影响比数字 SC 更大。本研究的概念模型以信息处理理论为基础,该理论认为,信息处理能力和数字 SC 的同步化使企业能够应对计划外事件。SC 中断导向和可见性被认为是风险控制因素,因为它们能让企业更加积极主动。将中断导向、可见性(高阶)和数字 SC 与信息处理理论概念化的综合模型使这项研究具有新意。
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Role of information processing and digital supply chain in supply chain resilience through supply chain risk management
Purpose Supply chain (SC) management is more challenging than ever. Significantly, the pandemic has provoked global and economic destruction that appeared in the manufacturing industry as a “black swan.” Therefore, the purpose of this study was to examine the role of information processing and digital supply chain in supply chain resilience through supply chain risk management. Design/methodology/approach This study examines SC risk management and resilience from an information processing theory perspective. The authors used data collected from 251 SC professionals in the manufacturing industry, and the authors used a quantitative method to analyze the data. The data was analyzed using partial least squares-structural equation modeling. To confirm the higher-order measurement model, the authors used SmartPLS version 4 software. Findings This study found that information processing capability (disruptive orientation and visibility in high-order) and digital SC significantly and positively affect SC risk management and resilience. Similarly, SC risk management positively mediates the relationship between information processing capability and digital SC. However, information processing capability was found to have a more substantial effect on SC risk management than the digital SC. Research limitations/implications This study has both academic and practical contributions. It contributed to existing information processing theory, and manufacturing firms can improve their performance by proactively responding to SC disruptions by recognizing the pivotal role of study variables in risk management for a resilient SC. Originality/value The conceptual model of this study is based on information processing theory, which asserts that synchronizing information processing capabilities and digital SCs allows a firm to deal with unplanned events. SC disruption orientation and visibility are considered risk controllers as they allow the firms to be more proactive. An integrated model of conceptualizing the disruption orientation, visibility (higher-order) and digital SC with information processing theory makes this research novel.
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