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Policy Brief 4.5

Robotic Process Automation and Data Quality And Bias among City Planners — A mixed-methods case study

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~ 15–24 mins
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Tourism Sustainability DEI
Abstract

This policy brief investigates “Robotic Process Automation and Data Quality And Bias among City Planners — A mixed-methods case study” using a topic modeling on open datasets. Through a behavioral lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Robotic Process Automation and Data Quality And Bias among City Planners — A mixed-methods case study

ABSTRACT
Robotic Process Automation and Data Quality And Bias among City Planners — A mixed-methods case study is unpacked across themes: ethics, scalability, usability, and benefits. Limitations and future research paths are noted.
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