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

Cinzia Calluso, Maria Giovanna Devetag
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Abstract

Purpose

This 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/approach

Data 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.

Findings

The 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/value

This 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.

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技术接受度和个性特征对使用人工智能辅助招聘方法意愿的影响
目的 本研究旨在调查一些可能对使用人工智能辅助招聘程序(AI-WtU)的意愿产生积极/消极影响的个人因素。具体来说,作者通过测试个人的个性特征及其对技术接受态度的具体作用,为正在进行的讨论做出贡献。设计/方法/方法收集了一批工人(n = 157)的数据,以探讨他们的个人人工智能WtU水平、个性特征和技术接受程度,以及一系列控制变量,包括年龄、性别、教育程度、就业状况、对人工智能辅助招聘的了解和以往的经验。重要的是,技术接受度还能调节人工智能-WtU 与自觉性之间的关系,从而表明自觉性高的人可能更愿意参与人工智能辅助实践,因为他们认为技术是提高可靠性和效率的手段。此外,研究还表明,求职者以前使用过人工智能辅助招聘的经历对人工智能-WtU 有负面影响,这表明人们普遍对此类工具有负面经历,并因此敦促对其进行改进。原创性/价值 据作者所知,本研究首次测试了人格特质在塑造员工人工智能工作效率方面的潜在作用,并通过额外测试技术接受度、年龄、性别、教育程度、就业状况和知识以及以前的人工智能辅助招聘经验对塑造个人人工智能工作效率的共同影响,提供了对这一问题的全面理解。
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来源期刊
CiteScore
6.00
自引率
7.10%
发文量
99
期刊介绍: The IJOA welcomes papers that draw on, but not exclusively: ■Organization theory ■Organization behaviour ■Organization development ■Organizational learning ■Strategic and change management ■People in organizational contexts including human resource management and human resource development ■Business and its interrelationship with society ■Ethics and morals, spirituality
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