Citation:
Andrew S. Humphries, John Towriss, Richard Wilding; A taxonomy of highly interdependent, supply chain relationships: The use of cluster analysis, International Journal of Logistics Management, 2007, Volume:18, Issue:3, Page:385-401.
Abstract:
Cluster analysis provides a statistical method whereby unknown groupings of
similar attributes can be identified from a mass of data and is well-known
within marketing and a wide range of other disciplines. This paper seeks to
describe the use of cluster analysis in an unusual setting to classify a large
sample of dyadic, highly interdependent, supply chain relationships based upon
the quality of their interactions. This paper aims to show how careful attention
to the detail of research design and the use of combined methods leads to
results that both are useful to managers and make a contribution to knowledge.
