Abstract
Purpose
The objective of this research is to examine the association of artificial intelligence (AI) awareness on workers retention and the boundary conditions-in the context of project organizations.
Design/methodology/approach
We collected time-lagged data from project organizations in China.
Findings
The results showed that AI awareness predicted workers turnover intention. Moreover, this association was moderated via supervisor support.
Practical implications
This research provides several practical implications aimed at timely communication, training and automation guide for helping firms to foster healthy workplace climate, support, and workers retention.
Originality/value
The rise of AI and its potential impact on manpower is a popular topic. Yet, the evidence of project workers awareness of such potential effects on their retention is scant. Therefore, this study broadens our understanding of the association of AI awareness on turnover intention and boundary conditions-in the context of project organizations.
The objective of this research is to examine the association of artificial intelligence (AI) awareness on workers retention and the boundary conditions-in the context of project organizations.
Design/methodology/approach
We collected time-lagged data from project organizations in China.
Findings
The results showed that AI awareness predicted workers turnover intention. Moreover, this association was moderated via supervisor support.
Practical implications
This research provides several practical implications aimed at timely communication, training and automation guide for helping firms to foster healthy workplace climate, support, and workers retention.
Originality/value
The rise of AI and its potential impact on manpower is a popular topic. Yet, the evidence of project workers awareness of such potential effects on their retention is scant. Therefore, this study broadens our understanding of the association of AI awareness on turnover intention and boundary conditions-in the context of project organizations.
| Original language | English |
|---|---|
| Pages (from-to) | 1-12 |
| Number of pages | 12 |
| Journal | International Journal of Managing Projects in Business |
| Early online date | 20 May 2024 |
| DOIs | |
| Publication status | E-pub ahead of print - 20 May 2024 |
Keywords
- Project business
- Project-based management
- Project-based organization
- Competitive climate
- Turnover intention
- Project organizations
- Supervisor support
- AI awareness
