View Full Paper

Owner Consent Verified
Coursework 4.7

Internet of Things Adoption in Esports Organizations: Data Quality And Bias — A mixed-methods case study

38
Pages
Harvard
Style
~ 40–56 mins
Reading Time
Esports MLOps InsurTech
Abstract

This coursework investigates “Internet of Things Adoption in Esports Organizations: Data Quality And Bias — A mixed-methods case study” using a topic modeling on open datasets. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

Internet of Things Adoption in Esports Organizations: Data Quality And Bias — A mixed-methods case study

ABSTRACT
Internet of Things Adoption in Esports Organizations: Data Quality And Bias — A mixed-methods case study is unpacked across themes: KPIs, security, scalability, and governance. Limitations and future research paths are noted.
1
Related Papers
Browse all
30 Pages 4.9
Explainable AI Adoption in Agritech Startups: Market Entry Strategy — Evidence from UK & Ireland
Telemedicine Cold Chain AIOps
21 Pages 4.6
Human-Computer Interaction for Regulated Utilities: Governance And Risk | 2023–2026 Trends
AR/VR Logistics Health
35 Pages 4.3
EdTech and Innovation Diffusion among EU Startups — A Comparative Perspective
Epidemiology AI BioMed