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Dissertation 4.6

E-commerce for University Students: Data Quality And Bias | 2022–2028 Trends

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~ 14–21 mins
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Energy Finance Cold Chain
Abstract

This dissertation investigates “E-commerce for University Students: Data Quality And Bias | 2022–2028 Trends” using a survey-based structural equation modeling. Through a institutional lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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E-commerce for University Students: Data Quality And Bias | 2022–2028 Trends

ABSTRACT
E-commerce for University Students: Data Quality And Bias | 2022–2028 Trends is unpacked across themes: risks, interoperability, usability, and security. Limitations and future research paths are noted.
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