Emergent Use of Generative Artificial Intelligence in the Labor Market
- DOI
- 10.2991/978-2-38476-456-3_17How to use a DOI?
- Keywords
- Emergent Use; Generative Artificial Intelligence; Employee Acceptance; Labor Market
- Abstract
Artificial intelligence (AI)-based services and products have gradually infiltrated various industries in recent years, creating an effective, creative, and technological shift. The extant research has focused on what factors affect employees’ acceptance of AI products as effective tools to enhance task performance and efficiency. However, few have investigated employees’ intention for the emergent adoption of generative AI tools while incorporating tool-related features, users’ characteristics, and environmental factors, limiting the understanding of employees’ acceptance of AI technologies. This paper aims to explore what factors may impact employees’ intention to emergently use such tools. By validating the significant determinants and the crucial interplay effect, this paper is expected to enrich the understanding of artificial intelligence technology adoption from a new perspective and provide valuable insights for tool developers and organization administrators.
- 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.
Cite this article
TY - CONF AU - Weidi Pan AU - Xi Cun AU - Ting Wang AU - Haoyu Chen AU - Jifan Ren AU - Daojing He PY - 2025 DA - 2025/08/25 TI - Emergent Use of Generative Artificial Intelligence in the Labor Market BT - Proceedings of the 5th International Conference on New Computational Social Science (ICNCSS 2025) PB - Atlantis Press SP - 145 EP - 152 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-456-3_17 DO - 10.2991/978-2-38476-456-3_17 ID - Pan2025 ER -