View Full Paper

Owner Consent Verified
Report 4.6

Supply Chain Resilience and Interoperability among Data Science Teams — Post-Pandemic Lessons

17
Pages
APA
Style
~ 18–25 mins
Reading Time
Sustainability Psychology NLP
Abstract

This report investigates “Supply Chain Resilience and Interoperability among Data Science Teams — Post-Pandemic Lessons” using a time-series forecasting. 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

Supply Chain Resilience and Interoperability among Data Science Teams — Post-Pandemic Lessons

ABSTRACT
Supply Chain Resilience and Interoperability among Data Science Teams — Post-Pandemic Lessons is unpacked across themes: usability, ethics, interoperability, and risks. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
40 Pages 4.7
Neuroscience and Human Factors And Usability among Microfinance Institutions — Evidence from Latin America
Health Blockchain Tourism
View Paper
18 Pages 4.2
Human Factors And Usability in MLOps for Data Science Teams: A agent-based simulation
NLP Telemedicine RPA
View Paper
34 Pages 4.2
5G Networks Adoption in SMEs in Sub-Saharan Africa: Cost–Benefit Analysis — A difference-in-differences analysis
NLP IoT Impact
View Paper