The impact of technology acceptance and personality traits on the willingness to use AI-assisted hiring practices

被引:3
作者
Calluso, Cinzia [1 ]
Devetag, Maria Giovanna [1 ]
机构
[1] LUISS Univ, Dept Business & Management, Rome, Italy
关键词
Artificial intelligence; Recruitment; Personality; Technology acceptance; Hiring; HEXACO MODEL; CONSCIENTIOUSNESS;
D O I
10.1108/IJOA-06-2024-4562
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeThis study aims to investigate some individual factors that may positively/negatively impact upon the willingness to use AI-assisted hiring procedures (AI-WtU). Specifically, the authors contribute to the ongoing discussion by testing the specific role of individuals' personality traits and their attitude toward technology acceptance.Design/methodology/approachData have been collected from a cohort of workers (n = 157) to explore their individual level of AI-WtU, their personality traits and level of technology acceptance, along with a series of control variables including age, gender, education, employment status, knowledge and previous experience of AI-assisted hiring.FindingsThe results obtained show the significant role played by a specific personality trait -conscientiousness - and technology acceptance in shaping the level of AI-WtU. Importantly, technology acceptance also mediates the relationship between AI-WtU and conscientiousness, thus suggesting that conscientious people may be more willing to engage in AI-assisted practices, as they see technologies as means of improving reliability and efficiency. Further, the study also shows that previous experience with AI-assisted hiring in the role of job applicants has a negative effect on AI-WtU, suggesting a prevailing negative experience with such tools, and the consequent urge for their improvement.Originality/valueThis study, to the best of the authors' knowledge, is the first to test the potential role of personality traits in shaping employees AI-WtU and to provide a comprehensive understanding of the issue by additionally testing the joint effect of technology acceptance, age, gender, education, employment status and knowledge and previous experience of AI-assisted hiring in shaping individual AI-WtU.
引用
收藏
页码:1368 / 1385
页数:18
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