Dataset from Zenodo · Rini Setiawati
From AI Readiness to Innovative Work Behavior: The Sequential Mediating Roles of Human-AI Collaboration and AI Self-Efficacy
- 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
- 1.4 MB
- Updated
- Aug 21, 2026
Description
The increasing use of artificial intelligence (AI) in the workplace has transformed the way employees complete tasks, solve problems, and generate innovative ideas. However, AI readiness does not necessarily lead directly to innovative work behavior, so an understanding of the mechanisms linking the two is needed. This study aims to analyze the effect of AI readiness on innovative work behavior through the sequential mediating roles of human-AI collaboration and AI self-efficacy. The study employed a quantitative approach with a cross-sectional design involving 200 employees in Indonesia who had been using AI to support their work for at least three months. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that AI readiness has a positive effect on innovative work behavior and human-AI collaboration. Human-AI collaboration has a positive effect on AI self-efficacy and innovative work behavior, while AI self-efficacy also has a positive effect on innovative work behavior. Furthermore, human-AI collaboration was found to mediate the relationship between AI readiness and innovative work behavior. The sequential mediation effect…
Description from Zenodo, shortened.
Files (3)
DataHunter does not store or host these files: every link leads to the original source. Check the license there before using the data.