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Case Study 4.2

Cross-Border Trade and Data Quality And Bias among Agritech Startups — A Comparative Perspective

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Abstract

This case study investigates “Cross-Border Trade and Data Quality And Bias among Agritech Startups — A Comparative Perspective” using a panel regression with fixed effects. Through a human-centered lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Cross-Border Trade and Data Quality And Bias among Agritech Startups — A Comparative Perspective

ABSTRACT
Cross-Border Trade and Data Quality And Bias among Agritech Startups — A Comparative Perspective is unpacked across themes: interoperability, equity, scalability, and change enablement. Limitations and future research paths are noted.
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