Open AccessThe impact of artificial intelligence on job insecurity: A moderating role based on vocational learning capabilities
Author(s) -
RenBao Liu,
Yige Zhan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1629/1/012034
Subject(s) - vocational education , job insecurity , psychology , government (linguistics) , unemployment , artificial intelligence , knowledge management , applied psychology , computer science , engineering , work (physics) , economics , pedagogy , mechanical engineering , linguistics , philosophy , economic growth
In order to explore the psychological impact of artificial intelligence on the job insecurity of manufacturing employees, a quantitative model of artificial intelligence (AI) on employees’ job insecurity was constructed by using vocational learning ability as a moderating variable. This paper constructs the measurement model of artificial intelligence on the job insecurity of employees, and makes statistical analysis of the data by using SPSS22.0. The results show that artificial intelligence has no significant negative influence on the job insecurity at present. However, the interaction items between vocational learning ability and artificial intelligence have significant negative effects on job insecurity, and vocational learning ability has a significant moderating effect on job insecurity. This paper has theoretical guidance and practical significance for the government, enterprises and employees to take active measures to solve the structural unemployment problem caused by the development and application of artificial intelligence in the labor market.