Research on the Nonlinear Influence of Artificial Intelligence on Employee Development in Manufacturing Enterprise
- DOI
- 10.2991/978-94-6463-005-3_18How to use a DOI?
- Keywords
- artificial intelligence; job performance; nonlinear influence
- Abstract
Artificial intelligence not only promotes the high-quality development of the manufacturing industry but also intensifies the job substitution effect. To explore the nonlinear impact of artificial intelligence on the job performance of manufacturing employees, a conceptual model of artificial intelligence on the job performance of manufacturing employees was constructed with perceived organizational support as the moderating variable. 311 employees were surveyed and SPSS22.0 was used for statistical analysis. The results show that: 1) artificial intelligence has an “inverted U-shaped” non-linear effect on both growth need strength and job performance; 2) growth need strength plays a partial mediating role between artificial intelligence and job performance; 3) perceived organizational support positively moderates the positive relationship between growth need strength and job performance. The research conclusion has practical guiding significance for manufacturing enterprises to reasonably improve employee performance.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zeshuang Liu AU - Xin Lei PY - 2022 DA - 2022/11/10 TI - Research on the Nonlinear Influence of Artificial Intelligence on Employee Development in Manufacturing Enterprise BT - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022) PB - Atlantis Press SP - 169 EP - 182 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-005-3_18 DO - 10.2991/978-94-6463-005-3_18 ID - Liu2022 ER -