Applicant reactions to algorithm- versus recruiter-based evaluations of an asynchronous video interview and a personality inventory

Abstract

In two studies, we examined the effects of algorithm-based (vs. recruiter-based) evaluations of an asynchronous video interview and a personality inventory on applicant reactions. In line with our expectations, we found several negative applicant reactions to the use of algorithms. Specifically, in Study 1 (N = 172), informing participants that an algorithm, rather than a recruiter, had analysed their interview and personality inventory increased feelings of emotional creepiness, and reduced fairness perceptions, perceived predictive validity and feedback acceptance. In Study 2 (N = 276), we were able to replicate these effects for fairness perceptions and perceived predictive validity. Furthermore, in both studies, algorithm-based evaluations negatively affected feedback acceptance, organizational attraction and job acceptance intentions through fairness perceptions. However, in contrast with our expectations, selection decision favourability did not influence the impact of evaluation source (recruiter vs. algorithm) on applicant reactions. In Study 2, we also found some tentative evidence that applicant reactions to algorithm-based evaluations are not affected by the type of information source (i.e. verbal vs. nonverbal cues) on which the algorithm is based.