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Best-worst scaling approach to predict customer choice for 3PL services

Tim Coltman, Timothy M. Devinney and Byron W. Keating

MPRA Paper from University Library of Munich, Germany

Abstract: This study describes a simple, theoretically based methodology to analyze the nature of customer demand for third-party logistics provider service components. The method overcomes limitations in prior studies and enables us to examine the relative importance of product and service attributes as they pertain to the choice of third-party logistics providers. Two distinct types of customers populate our data: those professing operational attributes and those seeking relational attributes. The theoretical and practical implications are that improved supply chain models can be developed when separate demand structures are taken into account.

Keywords: best–worst scaling; customer demand structures; third-party logistics (search for similar items in EconPapers)
JEL-codes: C25 D03 (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in Journal of Business Logistics 2.32(2011): pp. 139-152

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