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Supply chain management and logistics complexity: a contingency approach

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  • Peter Wanke
  • Henrique Correa

Abstract

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.

Suggested Citation

  • Peter Wanke & Henrique Correa, 2012. "Supply chain management and logistics complexity: a contingency approach," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 4(4), pages 239-271.
    • Handle: RePEc:ids:injleg:v:4:y:2012:i:4:p:239-271
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    Cited by:

    1. Madhuri Saripalle, 2018. "Determinants of profitability in the Indian logistics industry," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 7(1), pages 13-27.
    2. Anna Corinna Cagliano & Alberto Marco & Giulio Mangano & Giovanni Zenezini, 2017. "Levers of logistics service providers’ efficiency in urban distribution," Operations Management Research, Springer, vol. 10(3), pages 104-117, December.

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