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How China’s demand uncertainty moderates the respondence of operational performance to supply chain integration in automotive industry

机译:中国的需求不确定性如何缓解运营绩效对汽车行业供应链整合的响应

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This study aims at examining the dynamic response of the relationship between supply chain integration (SCI) and operational performance (OP) to demand uncertainty (DU). Based on a wide spectrum data sample with 357 participants in the China automotive supply chains, threshold regressions are used to examine the dynamic moderating effects. DU was found to moderate supplier integration (SI)–OP and customer integration (CI)–OP relationship. Internal integration (II)–OP relationship did not response to DU. The SI–OP relationship turned from negative to positive as DU increases, and CI–OP relationship responded to DU reversely compare to SI–OP relationship. Scholars now know the moderating effect of DU is not static and monotonic. Both of direction and magnitude of the correlations between SI, CI and OP change when DU changes. Managers of automotive supply chain recognize that their integrations’ strength should be properly managed subject to the level of DU for propose of achieving optimal OP. This study extends the current literature by delivering a field study of China and introducing dynamic capability theory for the first time to examine a dynamic response model that represents the SCI–OP relationships with respect to the DU as a moderating factor.
机译:这项研究旨在检验供应链整合(SCI)和运营绩效(OP)之间的关系对需求不确定性(DU)的动态响应。基于中国汽车供应链中357个参与者的广谱数据样本,使用阈值回归来检验动态调节效应。发现DU可以缓和供应商集成(SI)-OP和客户集成(CI)-OP的关系。内部整合(II)-OP关系对DU没有反应。随着DU的增加,SI-OP关系从负变为正,CI-OP关系对DU的响应与SI-OP关系相反。现在,学者们知道DU的调节作用不是静态的和单调的。当DU改变时,SI,CI和OP之间的相关性的方向和大小都改变。汽车供应链的管理者认识到,应根据DU的水平对他们的集成强度进行适当管理,以提出实现最佳OP的建议。这项研究通过对中国进行实地研究并首次引入动态能力理论来研究代表SCI-OP关系作为缓和因子的DU的动态响应模型,从而扩展了当前文献。

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