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Dissertation 4.9

Cloud Computing for Urban Households: Data Quality And Bias | A Comparative Perspective

20
Pages
MLA
Style
~ 21–29 mins
Reading Time
Logistics CV NLP
Abstract

This dissertation investigates “Cloud Computing for Urban Households: Data Quality And Bias | A Comparative Perspective” using a survey-based structural equation modeling. Through a economic lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Cloud Computing for Urban Households: Data Quality And Bias | A Comparative Perspective

ABSTRACT
Cloud Computing for Urban Households: Data Quality And Bias | A Comparative Perspective is unpacked across themes: security, interoperability, governance, and equity. Limitations and future research paths are noted.
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