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Case Study 4.8

Data Quality And Bias in Cold Chain Logistics for Rural Communities: A Comparative Perspective

28
Pages
Harvard
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~ 29–43 mins
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Cloud IoT AI
Abstract

This case study investigates “Data Quality And Bias in Cold Chain Logistics for Rural Communities: A Comparative Perspective” using a event study methodology. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Data Quality And Bias in Cold Chain Logistics for Rural Communities: A Comparative Perspective

ABSTRACT
Data Quality And Bias in Cold Chain Logistics for Rural Communities: A Comparative Perspective is unpacked across themes: security, change enablement, usability, and interoperability. Limitations and future research paths are noted.
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