Xu Guanglu, Xue Ming
School of Business, Nanjing University of Information Science & Technology, Nanjing, China.
School of Business Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China.
Front Psychol. 2025 Mar 19;16:1474639. doi: 10.3389/fpsyg.2025.1474639. eCollection 2025.
Under the background of rapid progress of artificial intelligence (AI) technology, migrant workers are at a high risk of becoming unemployed due to their low levels of human capital. As for the influencing factors of unemployment risk perception, individual characteristics are an important one. However, there remain few studies exploring the impact of personality on the perception of technical unemployment risk among migrant workers under the impact of AI. Therefore, this study examines the relationship between proactive personality and migrant workers' perception of technical unemployment risk, focusing on the mediating roles of AI learning and AI self-efficacy.
This study collected data through the research platform "Credamo". A total of 551 questionnaires were recovered in this survey, of which 446 valid questionnaires were reserved for research.
The research results show that: proactive personality was negatively correlated with migrant workers' perception of technical unemployment risk; AI learning and AI self-efficacy mediated this relationship independently, and played a chain-mediating role in this relationship.
The present study contributes the perception of technical unemployment risk literature by highlighting the impact of proactive personality and the chain mediating role of AI learning and AI self-efficacy in a sample of Chinese migrant workers. The empirical results of this paper are considered as helpful for organizations to formulate the policies aimed at alleviating migrant workers' perception of technical unemployment risk under the impact of AI technology.
在人工智能（AI）技术快速发展的背景下，农民工因其人力资本水平较低而面临较高的失业风险。至于失业风险感知的影响因素，个体特征是一个重要因素。然而，在人工智能影响下，探讨人格对农民工技术失业风险感知影响的研究仍然较少。因此，本研究考察了主动型人格与农民工技术失业风险感知之间的关系，重点关注人工智能学习和人工智能自我效能感的中介作用。
本研究通过“Credamo”研究平台收集数据。本次调查共回收问卷551份，其中保留有效问卷446份用于研究。
研究结果表明：主动型人格与农民工技术失业风险感知呈负相关；人工智能学习和人工智能自我效能感分别在二者关系中起中介作用，并在该关系中发挥链式中介作用。
本研究通过强调主动型人格的影响以及人工智能学习和人工智能自我效能感在中国农民工样本中的链式中介作用，为技术失业风险感知文献做出了贡献。本文的实证结果被认为有助于组织制定旨在减轻人工智能技术影响下农民工技术失业风险感知的政策。
