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Dissertation 4.8

Data Quality And Bias in Robotic Process Automation for Agritech Startups: Evidence from Europe

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Leadership Telemedicine Open Banking
Abstract

This dissertation investigates “Data Quality And Bias in Robotic Process Automation for Agritech Startups: Evidence from Europe” using a difference-in-differences analysis. Through a behavioral lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

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Data Quality And Bias in Robotic Process Automation for Agritech Startups: Evidence from Europe

ABSTRACT
Data Quality And Bias in Robotic Process Automation for Agritech Startups: Evidence from Europe is unpacked across themes: usability, KPIs, risks, and governance. Limitations and future research paths are noted.
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