Predicting Career Success by Biography Data
The paper aims to using biographical data for predicting managerial career success. We developed the standardized biographical survey (BSM) to diagnose the intensity and the structure of personal motivation. We showed that its scores correlate with managerial career success, personality traits, and the observed behavior. We found out that high level of personal motivation significantly (p<0,01) correlates with the managerial level and that top level managers have higher level of personal motivation significantly more often (p<0,001).