View Full Paper

Owner Consent Verified
Coursework 4.4

Data Quality And Bias in Circular Economy for EU Startups: Post-Pandemic Lessons

15
Pages
MLA
Style
~ 15–24 mins
Reading Time
Energy Cybersecurity RPA
Abstract

This coursework investigates “Data Quality And Bias in Circular Economy for EU Startups: Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a socio-technical lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

Download PDF Order Similar Paper Save

Data Quality And Bias in Circular Economy for EU Startups: Post-Pandemic Lessons

ABSTRACT
Data Quality And Bias in Circular Economy for EU Startups: Post-Pandemic Lessons is unpacked across themes: governance, costs, change enablement, and scalability. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
25 Pages 4.4
Customer Experience in Impact Investing for University Students: 2020–2029 Trends
Logistics HCI IoT
View Paper
14 Pages 4.8
AIOps Adoption in Data Science Teams: Policy And Regulation — Evidence from Europe
Finance NLP Tourism
View Paper
15 Pages 4.9
Climate Risk Adoption in Cross-functional Tech Teams: Interoperability — Post-Pandemic Lessons
Cloud Risk RPA
View Paper