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Dissertation 4.7

Data Quality And Bias in Edge Computing for Retail Banks: A Comparative Perspective

40
Pages
Harvard
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~ 42–59 mins
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Leadership Esports AR/VR
Abstract

This dissertation investigates “Data Quality And Bias in Edge Computing for Retail Banks: A Comparative Perspective” using a randomized controlled trial design. Through a socio-technical lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Data Quality And Bias in Edge Computing for Retail Banks: A Comparative Perspective

ABSTRACT
Data Quality And Bias in Edge Computing for Retail Banks: A Comparative Perspective is unpacked across themes: interoperability, equity, change enablement, and governance. Limitations and future research paths are noted.
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