| Issue |
SHS Web Conf.
Volume 155, 2023
2022 2nd International Conference on Social Development and Media Communication (SDMC 2022)
|
|
|---|---|---|
| Article Number | 03022 | |
| Number of page(s) | 6 | |
| Section | Intelligent Social Change and Women's Artistic Expression | |
| DOI | https://doi.org/10.1051/shsconf/202315503022 | |
| Published online | 12 January 2023 | |
Co-working with AI is a Double-sword in Technostress? An Integrative Review of Human-AI Collaboration from a Holistic Process of Technostress
University of Southern California
* Corresponding author: xiamt0703@gmail.com
An accumulating body of research has demonstrated that human-AI (Artificial Intelligence) collaboration is an indistinguishable future of work. The study of employee-perspective, affect-related responses, and job-related consequences from the adoption and use of AI is gaining attraction in the field of business and management. Some research has examined the technostress creators or negative responses related to human-AI collaboration, however, a holistic process of technostress that considers both positive and negative impacts has not been adopted. This study integrates the findings to examine the relationship between technostress and human-AI collaboration, based on the technostress creators (challenge technostressors and hindrance technostressors), positive and negative psychological responses, and outcomes in work-related well-being and intention to use AI. Future research opportunities on technostress generated by human-AI collaboration are discussed alongside implications to theory and management practices.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.