The study found that perceived interactivity, intelligence, personalization, and other factors explain 89.7% of the variance in employees’ intention to adopt AI-driven recruitment systems. That R² is remarkably high for behavioral research in organizational settings. Could this be a sign of model overfitting, especially considering that all data were self-reported and collected at a single point in time from the same respondents? Did the authors control for common method variance beyond Harman’s single-factor test, such as using a marker variable or procedural remedies in the survey design? The inflated explained variance might challenge the external validity of the findings!!
