Publication Type
Journal Article
Version
acceptedVersion
Publication Date
4-2024
Abstract
Currently used Pareto-optimal (PO) approaches for balancing diversity and validity goals in selection can deal only with one minority group and one criterion. These are key limitations because the workplace and society at large are getting increasingly diverse and because selection system designers often have interest in multiple criteria. Therefore, the article extends existing methods for designing PO selection systems to situations involving multiple criteria and multiple minority groups (i.e., multiobjective PO selection systems). We first present a hybrid multiobjective PO approach for computing selection systems that are PO with respect to (a) a set of quality objectives (i.e., criteria) and (b) a set of diversity objectives where each diversity objective relates to a different minority group. Next, we propose three two-dimensional subspace procedures that aid selection designers in choosing between the PO systems in case of a high number of quality and diversity objectives. We illustrate our novel multiobjective PO approaches via several example applications, thereby demonstrating that they are the first to reveal the complete gamut of eligible PO selection designs and to faithfully capture the Pareto trade-off front in case of more than two objectives. In addition, a small-scale cross-validation study confirms that the resulting PO selection designs retain an advantage over alternative designs when applied in new validation samples. Finally, the article provides a link to an executable code to perform the new multiobjective PO approaches.
Keywords
Adverse impact, personnel selection, Pareto-optimal, selection design, multiobjective optimization
Discipline
Human Resources Management | Industrial and Organizational Psychology | Organizational Behavior and Theory
Research Areas
Organisational Behaviour and Human Resources
Publication
Journal of Applied Psychology
Volume
109
Issue
4
First Page
513
Last Page
533
ISSN
0021-9010
Identifier
10.1037/apl0001145
Publisher
American Psychological Association
Citation
DE CORTE, Wilfried; SACKETT, Paul R.; and LIEVENS, Filip.
Designing Pareto-Optimal Selection Systems for Multiple Minority Subgroups and Multiple Criteria. (2024). Journal of Applied Psychology. 109, (4), 513-533.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7373
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1037/apl0001145
Included in
Human Resources Management Commons, Industrial and Organizational Psychology Commons, Organizational Behavior and Theory Commons