Abstract
Despite the growing application of artificial intelligence in hiring practices, job applicants still express general reservations about the use of this technology. What factors help to explain this low acceptance rate and are all job applicants equally affected? Across three controlled experiments, we demonstrate that job applicants perceive an AI evaluation agent (vs. a human) as less trustworthy, which reduced their job acceptance intentions (Study 1). This effect was stronger for job applicants who scored low on avoidant attachment style (Study 2). Using a serial mediation model, Study 3 tested one explanatory mechanism for how avoidant attachment style shapes trust, finding that perceptions of the AI agent’s ability to parse unique skills are an antecedent of job applicants' low trust toward the AI. These findings deepen our understanding of the factors that shape applicants’ job acceptance intentions regarding AI and provide actionable insights for integrating AI into hiring practices.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
