To read this content please select one of the options below:

Competency requirements of supply chain planners & analysts and personal preferences of hiring managers

Christoph Flöthmann (Roland Berger GmbH, Hamburg, Germany)
Kai Hoberg (Kühne Logistics University, Hamburg, Germany)
Andreas Wieland (Department of Operations Management, Copenhagen Business School, Frederiksberg, Denmark)

Supply Chain Management

ISSN: 1359-8546

Article publication date: 5 November 2018

Issue publication date: 13 November 2018

1915

Abstract

Purpose

This study aims to enhance the understanding of competency requirements of supply chain planners and analysts (SCP&As) and identify different personal preferences of hiring managers toward job candidates’ competency profiles.

Design/methodology/approach

A total of 243 supply chain managers with hiring experience participated in an adaptive choice-based conjoint experiment to uncover the relative importance of six competency attributes, namely, analytical and problem-solving ability, interpersonal skills, general management skills, computer/IT skills, supply chain management (SCM) knowledge and industry experience.

Findings

SCM knowledge and analytical and problem-solving ability were identified as the most important competencies and were considered three times more important than general management skills. Based on convergent cluster and ensemble analysis, two types of hiring managers were identified. The first group is characterized by a pronounced preference for job candidates with extensive SCM knowledge. In contrast, the second group’s members prefer candidates with a more balanced competency profile.

Originality/value

The authors’ findings help companies to facilitate a better person–job fit, a key determinant of employee performance and job satisfaction.

Keywords

Citation

Flöthmann, C., Hoberg, K. and Wieland, A. (2018), "Competency requirements of supply chain planners & analysts and personal preferences of hiring managers", Supply Chain Management, Vol. 23 No. 6, pp. 480-499. https://doi.org/10.1108/SCM-03-2018-0101

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

Related articles