The Impact of Artificial Intelligence on the Work Autonomy and Job Satisfaction of Digital Labor: Evidence from an Ordered Logit Model

DOI

10.2991/978-2-38476-475-4_141How to use a DOI?

Keywords

Artificial Intelligence; Digital Labor; Logit Regression; Work Autonomy; Job Satisfaction

Abstract

Aligned with the current wave of artificial intelligence development, this study investigates the impact of AI on the work autonomy and job satisfaction of digital laborers. Using Nanjing, China as the sampling frame, 112 valid questionnaires were collected via simple random sampling and analyzed using an ordered logit regression model. The findings indicate that artificial intelligence has a significant inhibitory effect on the work autonomy of digital laborers but a positive promotional effect on their job satisfaction. This study provides a valuable reference for future research in this domain.

Copyright

© 2025 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.

Download article (PDF)

TY  - CONF
AU  - Wanru Xu
AU  - Xiao Yuan
PY  - 2025
DA  - 2025/11/11
TI  - The Impact of Artificial Intelligence on the Work Autonomy and Job Satisfaction of Digital Labor: Evidence from an Ordered Logit Model
BT  - Proceedings of the 2025 10th International Conference on Modern Management, Education and Social Sciences (MMET 2025)
PB  - Atlantis Press
SP  - 1296
EP  - 1302
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-475-4_141
DO  - 10.2991/978-2-38476-475-4_141
ID  - Xu2025
ER  -