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Data Quality And Bias in Circular Economy for Esports Organizations: A Comparative Perspective

• Sociology
• Energy
• Risk

Abstract

This dissertation investigates “Data Quality And Bias in Circular Economy for Esports Organizations: A Comparative Perspective” using a panel regression with fixed effects. Through a economic lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.