The Role of Machine Learning in Predicting Job Performance
New research finds that machine learning techniques offer a nuanced perspective on personality and job performance.
New research finds that machine learning techniques offer a nuanced perspective on personality and job performance.
New research highlights the potential pitfalls of disclosing mental health conditions on LinkedIn.
Research examines how frequent work interruptions negatively impact employee stress, job satisfaction, and well-being.
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.
New research highlights both the possible advantages and disadvantages of forcing employees to engage in extra-role behaviors.
Recent research examines how performance pressure can drive both fear of failure and mental preoccupation with work. This may ultimately lead to improved goal achievement.
Organizations can effectively retain knowledge from failures by focusing on the complexity of the failure, taking accountability, and embedding lessons into routine practices. This may prevent the loss of critical insights over time.
Research finds that work experiences, such as helping others or encountering conflict, can spill over into family lives. Positive work experiences may improve well-being and relationships, while conflicts can cause strain.
New research finds third-party reactions to mistreatment are more complicated than expected.
New research highlights the benefits that a humble leader can have on employees and teams.