To enhance the quality and efficiency of information processing and decision-making, automation based on artificial intelligence and machine learning has increasingly been used to support managerial tasks and duties. In contrast to classical applications of automation (e.g., within production or...

Research has examined trust in humans and trust in automated decision support. Although reflecting a likely realization of decision support in high‐risk tasks such as personnel selection, trust in hybrid human‐automation teams has thus far received limited attention. In two experiments (N1 =...

Applicants seem to react negatively to artificial intelligence-based automated systems in personnel selection. This study investigates the impact of different pieces of information to alleviate applicant reactions in an automated interview setting. In a 2 (no process information vs. process...

Purpose: Automatic evaluation of job interviews has become an alternative for assessing interviewees. Therefore, questions arise regarding applicant reactions and behavior when algorithms automatically evaluate applicants' interview responses. This study tests arguments from previous research...

Purpose: The technological evolution of job interviews continues as highly automated interviews emerge as alternative approaches. Initial evidence shows that applicants react negatively to such interviews. Additionally, there is emerging evidence that contextual influences matter when...