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Dissertation 4.6

Data Quality And Bias in Cross-Border Trade for E-commerce Marketplaces: A systematic literature review

38
Pages
IEEE
Style
~ 40–57 mins
Reading Time
Metaverse Education Cold Chain
Abstract

This dissertation investigates “Data Quality And Bias in Cross-Border Trade for E-commerce Marketplaces: A systematic literature review” using a mixed-methods case study. Through a behavioral 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 Cross-Border Trade for E-commerce Marketplaces: A systematic literature review

ABSTRACT
Data Quality And Bias in Cross-Border Trade for E-commerce Marketplaces: A systematic literature review is unpacked across themes: interoperability, governance, risks, and equity. Limitations and future research paths are noted.
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