Practitioner-focused study explores qualitative data analysis using generative AI tools in leadership, highlighting transparency and methodological rigor.
Key Points
Generative AI tools were effective in supporting various phases of qualitative methodology in leadership contexts.
The analysis of qualitative data from 237 participants revealed significant differences in usability and output quality across AI tools.
Methods included AI-assisted analysis, expert human coding, and peer comparison to evaluate transparency and analytic depth.
Human oversight remains essential for interpretive depth and bias detection, underscoring the need for methodological rigor.