View Full Paper

Owner Consent Verified
Research Proposal 4.9

Data Privacy and Data Quality And Bias among Cross-functional Tech Teams — Post-Pandemic Lessons

28
Pages
MLA
Style
~ 29–41 mins
Reading Time
Cold Chain Supply Chain FinTech
Abstract

This research proposal investigates “Data Privacy and Data Quality And Bias among Cross-functional Tech Teams — Post-Pandemic Lessons” using a agent-based simulation. Through a institutional lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

Download PDF Order Similar Paper Save

Data Privacy and Data Quality And Bias among Cross-functional Tech Teams — Post-Pandemic Lessons

ABSTRACT
Data Privacy and Data Quality And Bias among Cross-functional Tech Teams — Post-Pandemic Lessons is unpacked across themes: costs, usability, scalability, and risks. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
23 Pages 4.9
Smart Cities for Millennial Consumers: Human Factors And Usability | A Comparative Perspective
DevSecOps BioMed Telemedicine
View Paper
20 Pages 4.8
Human-Computer Interaction and Data Quality And Bias among Logistics Hubs in Europe — A Comparative Perspective
Finance HCI IoT
View Paper
16 Pages 4.6
Innovation Diffusion in Smart Cities for Regulated Utilities: A Comparative Perspective
Data Privacy MLOps Leadership
View Paper