Dataset from Zenodo · Rini Setiawati
Human-Centered Artificial Intelligence and Future Workforce Learning: The Mediating Role of Digital Belongingness in Human–AI Collaboration among Generation Z
- License
- CC BY 4.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- XLSX
- Size
- 37 kB
- Updated
- Jun 20, 2026
Description
The rapid advancement of Artificial Intelligence (AI) has transformed workplace environments by reshaping how employees collaborate, learn, and develop future competencies. However, successful AI implementation depends not only on technological capability but also on how AI supports human psychological needs and digital experiences. This study aims to examine the influence of Human-Centered Artificial Intelligence (HCAI) on Future Workforce Learning (FWL) among Generation Z employees by investigating the mediating role of Digital Belongingness (DB) in human–AI collaboration. A quantitative approach was employed using a survey method involving 200 Generation Z employees who had experience using AI-based technologies in work or learning activities. The collected data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that Human-Centered Artificial Intelligence has a significant positive effect on both Digital Belongingness and Future Workforce Learning. Furthermore, Digital Belongingness significantly influences Future Workforce Learning and mediates the relationship between Human-Centered AI and Future Workforce Learning…
Description from Zenodo, shortened.
Files (1)
DataHunter does not store or host these files: every link leads to the original source. Check the license there before using the data.