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Public Health and Data Quality And Bias among Mobile Money Users — Post-Pandemic Lessons

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~ 34–46 mins
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Green Finance NLP IoT
Abstract

This report investigates “Public Health and Data Quality And Bias among Mobile Money Users — Post-Pandemic Lessons” using a qualitative grounded theory. Through a human-centered lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Public Health and Data Quality And Bias among Mobile Money Users — Post-Pandemic Lessons

ABSTRACT
Public Health and Data Quality And Bias among Mobile Money Users — Post-Pandemic Lessons is unpacked across themes: security, scalability, costs, and change enablement. Limitations and future research paths are noted.
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