Designing pareto-optimal systems for complex selection decisions

Complex selection decisions handle situation involving multiple jobs and an applicant pool where some of the applicants simultaneously apply for several of the available jobs. Practitioners and researchers interested in the outcomes of such complex selection decisions, based on specific predictors and their characteristics, are provided with two decision aids for designing predictor composites that offer a Pareto-optimal balance between the goals of quality and work force diversity. As shown in the illustrative applications, these developments provide a coherent set of tools for addressing both practical and substantive issues related to the selection uality/adverse impact quandary.

Publication year:2011