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Dissertation 4.6

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

17
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Harvard
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~ 18–27 mins
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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.

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

ABSTRACT
Data Quality And Bias in Circular Economy for Esports Organizations: A Comparative Perspective is unpacked across themes: security, risks, equity, and interoperability. Limitations and future research paths are noted.
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