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

Tim Coltman, Timothy Devinney, Byron Keating

    Research output: Contribution to journalArticlepeer-review

    42 Citations (Scopus)


    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
    Issue number2
    Publication statusPublished - 2011


    Dive into the research topics of 'Best-Worst Scaling Approach to Predict Customer Choice for 3PL Services'. Together they form a unique fingerprint.

    Cite this