Published 2026-02-16 — Updated on 2026-02-16
Versions
- 2026-02-16 (3)
- 2026-02-16 (2)
- 2026-02-16 (1)
Keywords
- Presidential leadership, Leadership misplacement, Shared governance, Psychological safety, AI governance
How to Cite
Copyright (c) 2026 Viktor Wang

This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
This article proposes and analytically illustrates a presidential selection framework designed to reduce leadership misplacement and strengthen institutional learning capacity in the AI era. Using a theory-building analytic approach with structured document analysis, the paper examines presidential search signals, early-tenure leadership behaviors, and institutional indicators related to trust climate, shared governance functioning, and AI-era change readiness. The primary contribution is a practical, evidence-based Presidential Search Rubric that boards and search committees can apply to evaluate candidates using enacted evidence rather than prestige-only indicators.
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