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Coursework 4.7

Digital Transformation Adoption in Remote Software Engineers: Data Quality And Bias — Post-Pandemic Lessons

33
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Chicago
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~ 35–48 mins
Reading Time
Open Banking Food Systems Risk
Abstract

This coursework investigates “Digital Transformation Adoption in Remote Software Engineers: Data Quality And Bias — Post-Pandemic Lessons” using a randomized controlled trial design. Through a economic lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Digital Transformation Adoption in Remote Software Engineers: Data Quality And Bias — Post-Pandemic Lessons

ABSTRACT
Digital Transformation Adoption in Remote Software Engineers: Data Quality And Bias — Post-Pandemic Lessons is unpacked across themes: KPIs, usability, change enablement, and governance. Limitations and future research paths are noted.
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