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Dissertation ⭐ 4.3

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

15 pages IEEE style ~7–13 mins read
  • 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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