This study examines how pre-employment assessment length affects the rate at which job applicants opt out of the assessment phase. To evaluate the tradeoff between reliability and attrition, the authors used data from 69 selection systems and over 220,000 job seekers.
Jay H. Hardy III, Carter Gibson, Matthew Sloan, and Alison Carr
Journal of Applied Psychology, American Psychological Association
This paper explores the unrealized potential of artificial intelligence in human resource management and suggests how progress might be made. The authors identify several key challenges with using data science techniques to enhance HR practices.
Prasanna Tambe, Peter Cappelli, and Valery Yakubovich