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Case Study 4.5

Smart Cities Adoption in Supply Chain Managers: Data Quality And Bias — 2022–2028 Trends

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~ 34–48 mins
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InsurTech MLOps HCI
Abstract

This case study investigates “Smart Cities Adoption in Supply Chain Managers: Data Quality And Bias — 2022–2028 Trends” using a qualitative grounded theory. Through a human-centered lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Smart Cities Adoption in Supply Chain Managers: Data Quality And Bias — 2022–2028 Trends

ABSTRACT
Smart Cities Adoption in Supply Chain Managers: Data Quality And Bias — 2022–2028 Trends is unpacked across themes: interoperability, governance, risks, and costs. Limitations and future research paths are noted.
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