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Case Study 4.8

Robotic Process Automation for Gen Z Shoppers: Data Quality And Bias | A Comparative Perspective

16
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IEEE
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~ 17–23 mins
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Climate Impact Energy
Abstract

This case study investigates “Robotic Process Automation for Gen Z Shoppers: Data Quality And Bias | A Comparative Perspective” using a time-series forecasting. Through a human-centered lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Robotic Process Automation for Gen Z Shoppers: Data Quality And Bias | A Comparative Perspective

ABSTRACT
Robotic Process Automation for Gen Z Shoppers: Data Quality And Bias | A Comparative Perspective is unpacked across themes: equity, risks, governance, and ethics. Limitations and future research paths are noted.
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