View Full Paper

Owner Consent Verified
Dissertation 4.9

Logistics Optimization Adoption in Esports Organizations: Data Quality And Bias — Evidence from DACH Region

23
Pages
Harvard
Style
~ 24–34 mins
Reading Time
DevSecOps FinTech NLP
Abstract

This dissertation investigates “Logistics Optimization Adoption in Esports Organizations: Data Quality And Bias — Evidence from DACH Region” using a Delphi study. Through a human-centered lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

Download PDF Order Similar Paper Save

Logistics Optimization Adoption in Esports Organizations: Data Quality And Bias — Evidence from DACH Region

ABSTRACT
Logistics Optimization Adoption in Esports Organizations: Data Quality And Bias — Evidence from DACH Region is unpacked across themes: KPIs, risks, benefits, and interoperability. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
24 Pages 4.8
Climate Risk Adoption in Data Science Teams: Equity And Access — Evidence from Latin America
Cold Chain Sociology Impact
View Paper
33 Pages 4.6
Gig Economy Adoption in NGOs in Global Health: Customer Experience — A Comparative Perspective
Telemedicine IoT Open Banking
View Paper
10 Pages 4.4
Workforce Analytics Adoption in Gen Z Shoppers: Interoperability — Post-Pandemic Lessons
UX FinTech InsurTech
View Paper