Supply chain management and logistics complexity: a contingency approach Online publication date: Mon, 11-Aug-2014
by Peter Wanke; Henrique Correa
International Journal of Logistics Economics and Globalisation (IJLEG), Vol. 4, No. 4, 2012
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Logistics Economics and Globalisation (IJLEG):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook