View Full Paper

Owner Consent Verified
Policy Brief 4.4

Cross-Border Trade Adoption in Agritech Startups: Data Quality And Bias — A design science research

5
Pages
Chicago
Style
~ 5–9 mins
Reading Time
Open Banking BioMed AR/VR
Abstract

This policy brief investigates “Cross-Border Trade Adoption in Agritech Startups: Data Quality And Bias — A design science research” using a benchmarking and maturity modeling. Through a behavioral lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

Cross-Border Trade Adoption in Agritech Startups: Data Quality And Bias — A design science research

ABSTRACT
Cross-Border Trade Adoption in Agritech Startups: Data Quality And Bias — A design science research is unpacked across themes: change enablement, usability, security, and risks. Limitations and future research paths are noted.
1
Related Papers
Browse all
8 Pages 4.4
Digital Identity and Market Entry Strategy among Cross-functional Tech Teams — 2025–2026 Trends
Cloud Metaverse DevSecOps
5 Pages 4.4
Explainable AI and Data Quality And Bias among Public Sector Agencies in the UK — A topic modeling on open datasets
Governance Data Privacy Cybersecurity
28 Pages 4.5
Adoption Barriers in Renewable Energy for Cross-functional Tech Teams: A Comparative Perspective
HCI Climate Esports