Understanding truck driver need-based segments: Creating a strategy for retention

Zachary Williams, Michael S. Garver, G. Stephen Taylor

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Research on truck driver retention addresses how traditional variables impact drivers' decisions to stay with a particular carrier, yet many of the traditional research methods have been called into question. Additionally, research is sparse on understanding whether unique driver need-based segments exist. Therefore, the authors present a theoretical framework and examine an exploratory study for incorporating numerous constructs that pertain to a driver's intention to drive for a firm. Empirical results indicate that drivers' value pay, personal safety, and time at home are most important when deciding to remain with a firm. In addition, three unique truck driver need-based segments were identified. The authors offer retention recommendations based on the specific needs of each segment.

Original languageEnglish
Pages (from-to)194-208
Number of pages15
JournalJournal of Business Logistics
Volume32
Issue number2
DOIs
StatePublished - Jun 2011

Keywords

  • Maximum difference scaling
  • Organizational support theory
  • Segmentation
  • Social exchange theory
  • Truck driver retention

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