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Supply chain management and logistics complexity: a contingency approach

机译:供应链管理和物流复杂性:一种应急方法

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By empirically exploring the correlation between logistics complexity-related contextual conditions and supply chain management (SCM) objectives and decision areas/practices, this study aims to investigate whether, and the means by which, supply chain managers of large manufacturing companies adopt a contingency approach in their supply chain decisions. This study involves a comprehensive literature review followed by an analysis of survey data using cluster analysis, factor analysis and binary logistic regression. Statistically significant relationships were found between logistics complexity-related contextual conditions and supply chain objectives and decision areas. Although some prescriptive context-dependent models for supply chain management can be found in the literature, this research tries to fill a gap by empirically demonstrating that large manufacturing companies actually tend to make their supply chain choices contingent upon their logistics complexity-related context.
机译:通过实证研究与物流复杂性相关的环境条件与供应链管理(SCM)目标和决策领域/实践之间的相关性,本研究旨在调查大型制造公司的供应链管理者是否采用应急方法,以及采用何种方法在他们的供应链决策中。这项研究涉及全面的文献综述,然后使用聚类分析,因子分析和二元逻辑回归分析分析调查数据。在与物流复杂性相关的环境条件与供应链目标和决策区域之间发现了具有统计意义的关系。尽管可以在文献中找到一些规范性的,上下文相关的供应链管理模型,但本研究试图通过经验证明大型制造公司实际上倾向于根据与物流复杂性相关的上下文来选择供应链来填补空白。

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