The Effects of Applicant Résumé Contents on Recruiters' Hiring Recommendations: The Mediating Roles of Recruiter Fit Perceptions

The résumé is the most commonly used selection tool for organisations. Past studies have demonstrated that recruiter hiring recommendations can be predicted based on the content of applicant résumés. However, the mechanisms underlying the links between résumé contents and hiring recommendations remain unclear. The present study extends previous research by examining the mediating roles of recruiters' multi‐faceted fit perceptions in a field setting. Data were collected from 216 organisational recruiters who participated in campus recruitment at seven universities in Taiwan. The results showed that applicant work experience and educational background increased recruiter hiring recommendations through recruiter perceived person–job (P–J) fit. In addition, applicant work experience predicted recruiter perceived person–organisation (P–O) fit, which in turn enhanced recruiter hiring recommendations.     

Perceptual Categorization: Connectionist Modelling and Decision Rules

Although it is currently popular to model human associative learning using connectionist networks, the mechanism by which their output activations are converted to probabilities of response has received relatively little attention. Several possible models of this decision process are considered here, including a simple ratio rule, a simple difference rule, their exponential versions, and a winner-take-all network. Two categorization experiments that attempt to dissociate these models are reported. Analogues of the experiments were presented to a single-layer, feed-forward, delta-rule network. Only the exponential ratio rule and the winner-take-all architecture, acting on the networks' output activations that corresponded to responses available on test, were capable of fully predicting the mean response results. In addition, unlike the exponential ratio rule, the winner-take-all model has the potential to predict latencies. Further studies will be required to determine whether latencies produced under more stringent conditions conform to the model's predictions.