Artificial intelligence–based method assesses depression in business leaders
Peer-Reviewed Publication
Updates every hour. Last Updated: 14-May-2025 22:09 ET (15-May-2025 02:09 GMT/UTC)
In an article published in the Journal of Accounting Research, researchers have developed a novel method to assess depression in CEOs by using machine learning models to analyze vocal acoustic features from conference call recordings.
Osaka Metropolitan University researchers have uncovered a daily mating capacity for medaka, providing important insights into the relationship between the cost of gamete production and sexual selection.
A recent study published in the Strategic Management Journal reveals that employees' external affiliations with rival organizations can significantly hinder collaboration within their primary workplace. This research, conducted by Thorsten Grohsjean (Bocconi University), Henning Piezunka (The Wharton School), and Maren Mickeler (ESSEC Business School), sheds light on how competitive external relationships disrupt internal teamwork, offering crucial insights for managers across industries.
The study examines a phenomenon often overlooked: colleagues who, outside of their workplace, are affiliated with organizations that compete with one another. Using the professional soccer industry as a testing ground, the researchers found that these dual-affiliated employees were less likely to collaborate effectively when working for their shared employer. The research highlights the dual impact of external competition and personal rivalries, which spill over into workplace dynamics.