View Full Paper

Owner Consent Verified
Coursework 4.8

Corporate Governance and Data Quality And Bias among Agritech Startups — A Comparative Perspective

8
Pages
MLA
Style
~ 8–14 mins
Reading Time
RPA Impact Blockchain
Abstract

This coursework investigates “Corporate Governance and Data Quality And Bias among Agritech Startups — A Comparative Perspective” using a propensity score matching. Through a human-centered lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

Download PDF Order Similar Paper Save

Corporate Governance and Data Quality And Bias among Agritech Startups — A Comparative Perspective

ABSTRACT
Corporate Governance and Data Quality And Bias among Agritech Startups — A Comparative Perspective is unpacked across themes: equity, interoperability, governance, and KPIs. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
36 Pages 4.7
DEI Strategies and Cost–Benefit Analysis among Logistics Hubs in Europe — Post-Pandemic Lessons
FinTech Leadership Energy
View Paper
30 Pages 4.8
Renewable Energy Adoption in Logistics Hubs in Europe: Cost–Benefit Analysis — 2023–2026 Trends
Food Systems Governance Cloud
View Paper
27 Pages 4.7
Computer Vision Adoption in Fortune 500 Firms: Innovation Diffusion — A Comparative Perspective
Education Epidemiology Energy
View Paper