“Adding an egg” in algorithmic decision making: improving stakeholder and user perceptions, and predictive validity by enhancing autonomy

Marvin Neumann, A. Susan M. Niessen, Maximilian Linde, Jorge N. Tendeiro, Rob R. Meijer

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Decision makers often combine multiple pieces of information to make performance predictions and hiring decisions. More valid predictions are made when information is combined algorithmically (mechanical prediction) rather than in the decision-maker’s mind (holistic prediction). Yet, decision makers rarely use algorithms in practice. One reason is that decision makers are worried about negative evaluations from other stakeholders such as colleagues when using algorithms. We hypothesized that such stakeholders evaluate decision makers more positively when they use autonomy-enhancing algorithmic procedures (AEAPs, holistically adjust predictions from a prescribed algorithm or self-design an algorithm), than when they use a prescribed algorithm. Relatedly, we hypothesized that decision makers who use AEAPs are less worried about negative stakeholder evaluations, and more likely to use algorithms in performance predictions. In Study 1 (N = 582), stakeholders evaluated decision makers more positively when they used AEAPs rather than a prescribed algorithm. In Study 2 (N = 269), decision makers were less worried about negative stakeholder evaluations and more likely to use AEAPs compared to a prescribed algorithm. Importantly, using AEAPs also resulted in substantially higher predictive validity than holistic prediction. We recommend the use of self-designed algorithms to improve perceptions and validity.
Original languageEnglish
Pages (from-to)245-262
Number of pages18
JournalEuropean Journal of Work and Organizational Psychology
Volume33
Issue number3
Early online date2023
DOIs
Publication statusPublished - 2023

Fingerprint

Dive into the research topics of '“Adding an egg” in algorithmic decision making: improving stakeholder and user perceptions, and predictive validity by enhancing autonomy'. Together they form a unique fingerprint.

Cite this