Talking About Mental Health on LinkedIn Can Impact Job Evaluations
New research highlights the potential pitfalls of disclosing mental health conditions on LinkedIn.
New research highlights the potential pitfalls of disclosing mental health conditions on LinkedIn.
Research addresses the challenges associated with using artificial intelligence (AI) for personnel selection. It finds that providing clear explanations may improve the trust that people place in these tools.
Harvard Business Review explains how organizations can utilize different interview methods to get what they want out of the job interview process.
New research finds that stereotype threat and lift may not play a pivotal role in real-world, high-stakes contexts.
Researchers create a new measure of risk propensity that shows promise for reducing accidents and improving workplace safety.
New research suggests that applicants may dislike when algorithms are used to evaluate video interviews, leading to a potential decrease in the applicant pool.
New research finds that political affiliation can influence the employee selection process, and the practice of doxing offers new insights into how.
New research demonstrates that both practitioners and applicants dislike brainteaser interview questions. As such, organizations should consider dropping these questions from the hiring process.
Cognitive ability tests are often used in hiring based on their ability to predict successful job performance. But are they as useful when employees already have substantial job experience?
New research is shedding light on the stigma and bias that can be created in the hiring process when individuals disclose mental health statuses online.