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

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Listed:
  • Coltman, Tim
  • Devinney, Timothy M.
  • Keating, Byron W.

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.

Suggested Citation

  • Coltman, Tim & Devinney, Timothy M. & Keating, Byron W., 2010. "Best-worst scaling approach to predict customer choice for 3PL services," MPRA Paper 40492, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:40492
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    File URL: https://mpra.ub.uni-muenchen.de/40492/1/MPRA_paper_40492.pdf
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    References listed on IDEAS

    as
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    Cited by:

    1. Anderson, Edward & Coltman, Tim & Devinney, Timothy M. & Keating, Byron W., 2010. "What Drives the Choice of Third Party Logistics Provider?," MPRA Paper 40508, University Library of Munich, Germany.

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    More about this item

    Keywords

    best–worst scaling; customer demand structures; third-party logistics;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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