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Research Proposal 4.9

Artificial Intelligence Adoption in Supply Chain Managers: Data Quality And Bias — A difference-in-differences analysis

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Abstract

This research proposal investigates “Artificial Intelligence Adoption in Supply Chain Managers: Data Quality And Bias — A difference-in-differences analysis” using a agent-based simulation. Through a economic lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Artificial Intelligence Adoption in Supply Chain Managers: Data Quality And Bias — A difference-in-differences analysis

ABSTRACT
Artificial Intelligence Adoption in Supply Chain Managers: Data Quality And Bias — A difference-in-differences analysis is unpacked across themes: interoperability, costs, KPIs, and equity. Limitations and future research paths are noted.
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