Machine learning applications to personnel selection: Current illustrations, lessons learned, and future research

A simulation of the impacts of machine learning to combine psychometric employee selection system predictors on performance prediction, adverse impact, and number of dropped predictors

(2023) Richard N. Landers et al.   PERSONNEL PSYCHOLOGY

Reducing subgroup differences in personnel selection through the application of machine learning

(2023) Nan Zhang et al.   PERSONNEL PSYCHOLOGY

Improving measurement and prediction in personnel selection through the application of machine learning

(2023) Nick Koenig et al.   PERSONNEL PSYCHOLOGY

The Social Process of Coping with Work‐Related Stressors Online: A Machine Learning and Interpretive Data Science Approach

(2022) Sima Sajjadiani et al.   PERSONNEL PSYCHOLOGY

Investigating machine learning's capacity to enhance the prediction of career choices

(2022) Q. Chelsea Song et al.   PERSONNEL PSYCHOLOGY

The AI‐IP: Minimizing the guesswork of personality scale item development through artificial intelligence

(2022) Ivan Hernandez et al.   PERSONNEL PSYCHOLOGY

Wisdom from the crowd: Can recommender systems predict employee turnover and its destinations?

(2022) Hanyi Min et al.   PERSONNEL PSYCHOLOGY

Determinants of safety outcomes in organizations: Exploring O*NET data to predict occupational accident rates

(2022) Lavanya S. Kumar et al.   PERSONNEL PSYCHOLOGY

Automated video interview personality assessments: Reliability, validity, and generalizability investigations.

(2021) Louis Hickman et al.   JOURNAL OF APPLIED PSYCHOLOGY