Employee selection research identifies and makes use of associations between individual differences, such as those measured by psychological testing, and individual differences in job performance. Artificial neural networks are computer simulations of biological nerve systems that can be used to model unspecified relationships between sets of numbers. Thirty-five neural networks were trained to estimate normalized annual revenue produced by telephone sales agents based on personality and biographic predictors using concurrent validation data (N=1085). Accuracy of the neural estimates was compared to OLS regression and a proprietary nonlinear model used by the participating company to select agents.

One problem facing the hospitality industry today is turnover. Management turnover rates of 50 and 75 percent continue to plaque all segments of the industry. Personality type theory holds that people are happier in environments that are compatible with their personalities. This study examines 229 undergraduate students enrolled in hospitality education at the University of North Texas. The Myers Briggs Type Indicator was administered to these students to determine their predominant personality types, and to compare these types to those desired by hospitality industry professionals for success within the industry. Variables such as gender, work experience, and classification were also examined in comparison to student personality types.