Stages of Supply Chain Disruption Response: Direct, Constraining, and Mediating Factors for Impact Mitigation

Stages of Supply Chain Disruption Response: Direct, Constraining, and Mediating Factors for Impact Mitigation
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DOI:
10.1111/deci.12245
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发表时间:
2017-10-01
期刊:
影响因子:
5.5
通讯作者:
Macdonald, John R.
Macdonald, John R.
中科院分区:
管理学4区
文献类型:
--
作者:
Bode, Christoph;Macdonald, John R.

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众所周知,供应链中断可能会对企业产生严重的负面影响,普遍观点认为,这种影响可以通过快速反应来缓解。然而,除了一些轶事外,人们对导致快速反应的决策过程及其阻碍和支持的先例知之甚少。本研究从组织信息加工的角度出发,按照干扰识别、干扰诊断、响应发展和响应实施四个阶段,对干扰管理过程进行了研究,并对这些阶段的约束和中介效应进行了假设。这些发现有助于更好地理解决策阶段在减轻供应链中断方面所起的作用,并证实了信息处理的速度和各阶段的工作对供应链绩效有积极影响的预测。此外,研究结果表明,其中一个阶段--诊断--对其他阶段起到了制约作用。这些阶段还在中断的影响和公司的准备(在中断之前)、对关键供应商的依赖和供应链复杂性之间发挥中介作用。这为决策者在发生负面事件之前和中断恢复期间应用资源提供了指导。
It is well established that supply chain disruptions can have a severe negative impact on firms and general wisdom suggests that this impact can be mitigated by quick responses. Aside from a few anecdotes, however, little is known about the decision-making process that leads to speedy responses and about its impeding and supporting antecedents. Using the organizational information-processing perspective, this empirical study unravels the disruption management process along a sequence of four stagesdisruption recognition, disruption diagnosis, response development, and response implementationand hypothesizes constraining and mediating effects of these stages. The findings contribute to an improved understanding of the role that the decision stages play in mitigating supply chain disruptions, and confirm the prediction that the speed with which information is processed and the stages are worked through positively affects supply chain performance. In addition, the findings suggest that one of the stages, diagnosis, acts as a constraining factor to the other stages. The stages also play a mediating role between the impact that the disruption has and a firm's readiness (prior to a disruption), dependence on a key supplier, and supply chain complexity. This provides guidance to decision makers in the application of resources both prior to a negative event and during a disruption recovery.