Best-Worst Scaling Approach to Predict Customer Choice for 3PL Services

Tim Coltman, Timothy Devinney, Byron Keating

Research output: Contribution to journalArticle

33 Citations (Scopus)

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
Original languageEnglish
Pages (from-to)139-152
Number of pages14
JournalJournal of Business Logistics
Volume32
Issue number2
DOIs
Publication statusPublished - 2011

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Customer choice
Third party logistics providers
Best-worst scaling
Service attributes
Methodology
Supply chain
Relative importance
Product attributes

Cite this

Coltman, Tim ; Devinney, Timothy ; Keating, Byron. / Best-Worst Scaling Approach to Predict Customer Choice for 3PL Services. In: Journal of Business Logistics. 2011 ; Vol. 32, No. 2. pp. 139-152.
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Best-Worst Scaling Approach to Predict Customer Choice for 3PL Services. / Coltman, Tim; Devinney, Timothy; Keating, Byron.

In: Journal of Business Logistics, Vol. 32, No. 2, 2011, p. 139-152.

Research output: Contribution to journalArticle

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