Data Quality And Bias in UX Research for E-commerce Marketplaces: A time-series forecasting

Case Study 4.5

Data Quality And Bias in UX Research for E-commerce Marketplaces: A time-series forecasting

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Harvard

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~ 29–41 mins

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MLOps Governance Data Privacy

Abstract

This case study investigates “Data Quality And Bias in UX Research for E-commerce Marketplaces: A time-series forecasting” using a propensity score matching. Through a human-centered 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 UX Research for E-commerce Marketplaces: A time-series forecasting

ABSTRACT

Data Quality And Bias in UX Research for E-commerce Marketplaces: A time-series forecasting is unpacked across themes: costs, governance, security, and KPIs. Limitations and future research paths are noted.

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