arbiter
JournalsPricingAccount

AI , Popular Leadership Advice, and the Scholar’s Audience: Rethinking Rigor and Accessibility

Alina Kiran

Journal of Leadership Studies2026https://doi.org/10.1002/jls.70031article
AJG 1
Weight
0.37

What the paper says

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.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1002/jls.70031

Or copy a formatted citation

@article{alina2026,
  title        = {{AI , Popular Leadership Advice, and the Scholar’s Audience: Rethinking Rigor and Accessibility}},
  author       = {Alina Kiran},
  journal      = {Journal of Leadership Studies},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/jls.70031},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

AI , Popular Leadership Advice, and the Scholar’s Audience: Rethinking Rigor and Accessibility

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.