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

• 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.