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Dissertation 4.3

Data Quality And Bias in Impact Investing for Healthcare Providers: 2023–2028 Trends

15
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IEEE
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~ 15–22 mins
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AR/VR IoT Food Systems
Abstract

This dissertation investigates “Data Quality And Bias in Impact Investing for Healthcare Providers: 2023–2028 Trends” using a event study methodology. Through a socio-technical lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Data Quality And Bias in Impact Investing for Healthcare Providers: 2023–2028 Trends

ABSTRACT
Data Quality And Bias in Impact Investing for Healthcare Providers: 2023–2028 Trends is unpacked across themes: costs, scalability, KPIs, and equity. Limitations and future research paths are noted.
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