Using Machine Learning to Select a Diverse and Effective Workforce
New machine learning techniques offer a promising way for organizations to predict employee success without compromising fairness to applicants.
New machine learning techniques offer a promising way for organizations to predict employee success without compromising fairness to applicants.
New research finds that an AI chatbot can infer someone’s personality. What are the implications for the future of employee selection?
New research finds that a quick, pictorial measure of job burnout shows promising validity.
New research investigates score differences on cognitive ability tests when taken by mobile versus non-mobile users.
New research finds that perceived financial insecurity can lead to fear-driven proactive behavior. This can eventually lead to employee burnout.
New research explores how organizational psychologists translate scales into new languages as the field continues to globalize.
New research finds that stigma from HIV impacts job effectiveness due to feelings of shame.
New research finds that exposure to robots can increase feelings of job insecurity, and in turn, workplace burnout and incivility.
New research reveals that cannabis use does not increase objective creativity, but influences perceptions of creativity for the self and others.
New research reveals how employees’ sense of ownership over their jobs can have either a positive or a negative effect on their job performance.