Author ORCID Identifier
Clark https://orcid.org/0000-0002-1167-0865
da Motta Veiga - https://orcid.org/0000-0002-5550-6346
Figueroa-Armijos - https://orcid.org/0000-0001-7060-908X
Document Type
Article
Publication Date
7-21-2022
Publication Title
Journal of Business Ethics
Volume
186
First Page
179
Last Page
197
Abstract
The use of artificial intelligence (AI) in hiring entails vast ethical challenges. As such, using an ethical lens to study this phenomenon is to better understand whether and how AI matters in hiring. In this paper, we examine whether ethical perceptions of using AI in the hiring process influence individuals’ trust in the organizations that use it. Building on the organizational trust model and the unified theory of acceptance and use of technology, we explore whether ethical perceptions are shaped by individual differences in performance expectancy and social influence and how they, in turn, impact organizational trust. We collected primary data from over 300 individuals who were either active job seekers or who had recent hiring experience to capture perceptions across the full range of hiring methods. Our findings indicate that performance expectancy, but not social influence, impacts the ethical perceptions of AI in hiring, which in turn influence organizational trust. Additional analyses indicate that these findings vary depending on the type of hiring methods AI is used for, as well as on whether participants are job seekers or individuals with hiring experience. Our study offers theoretical and practical implications for ethics in HRM and informs policy implementation about when and how to use AI in hiring methods, especially as it pertains to acting ethically and trustworthily.
Recommended Citation
Figueroa-Armijos, M., Clark, B.B. & da Motta Veiga, S.P. Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence. J Bus Ethics 186, 179–197 (2023). https://doi.org/10.1007/s10551-022-05166-2
Comments
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10551-022-05166-2
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