Valerio Deriu , Rumen Pozharliev , Matteo De Angelis
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引用次数: 0
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.
期刊介绍:
The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.