View Full Paper

Owner Consent Verified
Essay 4.3

Digital Identity and Data Quality And Bias among Pharmaceutical Firms — Post-Pandemic Lessons

28
Pages
APA
Style
~ 29–43 mins
Reading Time
IoT Epidemiology AIOps
Abstract

This essay investigates “Digital Identity and Data Quality And Bias among Pharmaceutical Firms — Post-Pandemic Lessons” using a randomized controlled trial design. Through a behavioral lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

Digital Identity and Data Quality And Bias among Pharmaceutical Firms — Post-Pandemic Lessons

ABSTRACT
Digital Identity and Data Quality And Bias among Pharmaceutical Firms — Post-Pandemic Lessons is unpacked across themes: governance, scalability, risks, and costs. Limitations and future research paths are noted.
1
Related Papers
Browse all
15 Pages 4.5
Scaling And Replication in DevSecOps for K–12 Teachers: 2024–2029 Trends
NLP Cold Chain Epidemiology
36 Pages 4.5
Smart Cities for EU Startups: Data Quality And Bias | 2023–2028 Trends
NLP FinTech Sustainability
15 Pages 4.7
Human Factors And Usability in Energy Storage for Public Sector Agencies in the UK: A event study methodology
Education Governance Cold Chain