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Research Proposal 4.3

Logistics Optimization for Public Sector Agencies in the UK: Data Quality And Bias | Post-Pandemic Lessons

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Chicago
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~ 11–16 mins
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Cloud Data Privacy IoT
Abstract

This research proposal investigates “Logistics Optimization for Public Sector Agencies in the UK: Data Quality And Bias | Post-Pandemic Lessons” using a difference-in-differences analysis. Through a socio-technical lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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Logistics Optimization for Public Sector Agencies in the UK: Data Quality And Bias | Post-Pandemic Lessons

ABSTRACT
Logistics Optimization for Public Sector Agencies in the UK: Data Quality And Bias | Post-Pandemic Lessons is unpacked across themes: risks, costs, ethics, and change enablement. Limitations and future research paths are noted.
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