<scp>AI</scp> , Popular Leadership Advice, and the Scholar’s Audience: Rethinking Rigor and Accessibility
AI generated leadership advise is increasing eclipsing scholarly work by offering fast and accessible guidance. This paper argues that this shift comples leadership scholars to rethink who they write for and how to engage practitioners without losing academic rigor.
Authors
- Alina Kiran
Institutions
- Technical University of Malaysia Malacca (MY)
Publication Details
- Journal
- Journal of Leadership Studies
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1002/jls.70031
- Primary Topic
- Artificial Intelligence Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00