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Dissertation 4.6

Data Quality And Bias in Education Policy for Pharmaceutical Firms: A qualitative grounded theory

22
Pages
IEEE
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~ 23–33 mins
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HCI IoT Data Privacy
Abstract

This dissertation investigates “Data Quality And Bias in Education Policy for Pharmaceutical Firms: A qualitative grounded theory” using a benchmarking and maturity modeling. Through a socio-technical lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Data Quality And Bias in Education Policy for Pharmaceutical Firms: A qualitative grounded theory

ABSTRACT
Data Quality And Bias in Education Policy for Pharmaceutical Firms: A qualitative grounded theory is unpacked across themes: benefits, governance, ethics, and interoperability. Limitations and future research paths are noted.
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