View Full Paper

Owner Consent Verified
Dissertation 4.5

Platform Engineering for Logistics Hubs in Europe: Data Quality And Bias | 2025–2028 Trends

18
Pages
Harvard
Style
~ 19–27 mins
Reading Time
Finance Public Policy Esports
Abstract

This dissertation investigates “Platform Engineering for Logistics Hubs in Europe: Data Quality And Bias | 2025–2028 Trends” using a survey-based structural equation modeling. Through a economic lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

Download PDF Order Similar Paper Save

Platform Engineering for Logistics Hubs in Europe: Data Quality And Bias | 2025–2028 Trends

ABSTRACT
Platform Engineering for Logistics Hubs in Europe: Data Quality And Bias | 2025–2028 Trends is unpacked across themes: change enablement, costs, equity, and KPIs. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
8 Pages 4.2
Impact Investing Adoption in SMEs in Sub-Saharan Africa: Operational Excellence — A time-series forecasting
NLP HCI Logistics
View Paper
18 Pages 4.9
Gig Economy and Cost–Benefit Analysis among Public Sector Agencies in the UK — Post-Pandemic Lessons
HCI Education AI
View Paper
34 Pages 4.3
Green Finance for Remote Software Engineers: Customer Experience | 2023–2028 Trends
Risk Energy IoT
View Paper