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Dissertation 4.3

Cold Chain Logistics and Data Quality And Bias among Data Science Teams — A design science research

40
Pages
IEEE
Style
~ 42–58 mins
Reading Time
IoT Metaverse Sustainability
Abstract

This dissertation investigates “Cold Chain Logistics and Data Quality And Bias among Data Science Teams — A design science research” using a randomized controlled trial design. Through a socio-technical lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Cold Chain Logistics and Data Quality And Bias among Data Science Teams — A design science research

ABSTRACT
Cold Chain Logistics and Data Quality And Bias among Data Science Teams — A design science research is unpacked across themes: risks, change enablement, scalability, and equity. Limitations and future research paths are noted.
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