View Full Paper

Owner Consent Verified
Essay 4.9

Data Quality And Bias in Corporate Governance for Gig Workers: A qualitative grounded theory

14
Pages
MLA
Style
~ 14–22 mins
Reading Time
IoT Finance Sociology
Abstract

This essay investigates “Data Quality And Bias in Corporate Governance for Gig Workers: A qualitative grounded theory” using a event study methodology. Through a economic lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

Download PDF Order Similar Paper Save

Data Quality And Bias in Corporate Governance for Gig Workers: A qualitative grounded theory

ABSTRACT
Data Quality And Bias in Corporate Governance for Gig Workers: A qualitative grounded theory is unpacked across themes: interoperability, benefits, usability, and governance. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
36 Pages 4.2
Internet of Things and Data Quality And Bias among Elderly Patients — 2020–2026 Trends
Tourism Cold Chain Metaverse
View Paper
34 Pages 4.8
Public Health Adoption in University Students: Human Factors And Usability — Post-Pandemic Lessons
Sustainability Open Banking Data Privacy
View Paper
29 Pages 4.4
Corporate Governance and Data Quality And Bias among Elderly Patients — 2024–2029 Trends
Sustainability Health UX
View Paper