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Essay 4.9

Data Quality And Bias in Open Banking for Mobile Money Users: A propensity score matching

27
Pages
IEEE
Style
~ 28–40 mins
Reading Time
DevSecOps Cybersecurity UX
Abstract

This essay investigates “Data Quality And Bias in Open Banking for Mobile Money Users: A propensity score matching” using a panel regression with fixed effects. Through a institutional 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 Open Banking for Mobile Money Users: A propensity score matching

ABSTRACT
Data Quality And Bias in Open Banking for Mobile Money Users: A propensity score matching is unpacked across themes: risks, costs, benefits, and governance. Limitations and future research paths are noted.
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