The impact of artificial intelligence on job insecurity: A moderating role based on vocational learning capabilities
| Autor: | Renbao Liu, Yige Zhan |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Journal of Physics: Conference Series. 1629:012034 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/1629/1/012034 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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