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Dissertation 4.6

Artificial Intelligence Adoption in NGOs in Global Health: Data Quality And Bias — Evidence from Southeast Asia

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~ 42–59 mins
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Health Blockchain Supply Chain
Abstract

This dissertation investigates “Artificial Intelligence Adoption in NGOs in Global Health: Data Quality And Bias — Evidence from Southeast Asia” using a difference-in-differences analysis. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Artificial Intelligence Adoption in NGOs in Global Health: Data Quality And Bias — Evidence from Southeast Asia

ABSTRACT
Artificial Intelligence Adoption in NGOs in Global Health: Data Quality And Bias — Evidence from Southeast Asia is unpacked across themes: scalability, interoperability, usability, and KPIs. Limitations and future research paths are noted.
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