Stars and Other Illusions: An Empirical Analysis
An analysis of O’Boyle and Aguinis’ findings that employee performance fits a power-law distribution and the underlying assumptions that shape their research, using regression analysis to separate structural effects from individual performance.
The project highlights a core business lesson: organizations make better talent, risk, and resource decisions when they test assumptions, consider exogenous factors that may influence how job performance is perceived, and base compensation decisions on reliable signals rather than forced distributions (“vitality curves”).
Photo by Bernd 📷 Dittrich on Unsplash
