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Report 4.9

Data Quality And Bias in Cross-Border Trade for EU Startups: Post-Pandemic Lessons

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HCI Esports Education
Abstract

This report investigates “Data Quality And Bias in Cross-Border Trade for EU Startups: Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a human-centered 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 EU Startups: Post-Pandemic Lessons

ABSTRACT
Data Quality And Bias in Cross-Border Trade for EU Startups: Post-Pandemic Lessons is unpacked across themes: KPIs, equity, interoperability, and benefits. Limitations and future research paths are noted.
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