Developing the profiles of truck drivers for their successful recruitment and retention: A data mining approach

Abstract

Chronic driver turnover can adversely influence a trucking firm's competitiveness through disrupted delivery services, equipment down time and excessive recruiting expenses. Thus, a key to the survival of the trucking firm rests with its ability to recruit and retain qualified drivers who are less likely to cause turnover. In an effort to develop the ways to recruit and retain those drivers, we propose data mining techniques. Based on an empirical study of trucking firms in the USA, this paper not only develops a viable driver recruitment and retention strategy, but it also demonstrates the usefulness of the proposed data mining techniques.

Citation

Min, H. and Emam, A. (2003), "Developing the profiles of truck drivers for their successful recruitment and retention: A data mining approach", International Journal of Physical Distribution & Logistics Management, Vol. 33 No. 2, pp. 149-162. https://doi.org/10.1108/09600030310469153