Comprising experimental data from a study examining the effects of AI leader disclosure on follower trust and job satisfaction. The study employed an experimental vignette methodology with working adults randomly assigned to conditions.
Use Cases
- Analyze the relationship between AI leader disclosure condition and follower trust scores.
- Examine the mediating role of follower trust between AI leader disclosure and job satisfaction measures.
- Compare job satisfaction outcomes between the AI leader disclosure and control conditions.
Strengths
- Data is based on an experimental design with random assignment to conditions.
- Study employs established and adapted measures for key constructs like trust and job satisfaction.
Limitations
- Sample size and demographic composition of the working adult participants are unknown.
- Data is from a single experimental study, limiting generalizability to real-world organizational settings.
- The specific variables and measurement scales used in the dataset are not detailed.
Provenance
- Source
- ICPSR Harvested Dataverse
- Collection Method
- Experimental vignette methodology with working adults randomly assigned to conditions.
- Time Range
- null
- Freshness
- null
- Geography
- null