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Dissertation 4.6

Explainable AI Adoption in NGOs in Global Health: Cost–Benefit Analysis — Evidence from DACH Region

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Tourism DevSecOps AIOps
Abstract

This dissertation investigates “Explainable AI Adoption in NGOs in Global Health: Cost–Benefit Analysis — Evidence from DACH Region” using a panel regression with fixed effects. Through a economic lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Explainable AI Adoption in NGOs in Global Health: Cost–Benefit Analysis — Evidence from DACH Region

ABSTRACT
Explainable AI Adoption in NGOs in Global Health: Cost–Benefit Analysis — Evidence from DACH Region is unpacked across themes: usability, scalability, benefits, and KPIs. Limitations and future research paths are noted.
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