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Dissertation 4.9

Tourism Recovery for Agritech Startups: Data Quality And Bias | 2022–2026 Trends

13
Pages
IEEE
Style
~ 13–20 mins
Reading Time
Leadership Cold Chain Sociology
Abstract

This dissertation investigates “Tourism Recovery for Agritech Startups: Data Quality And Bias | 2022–2026 Trends” using a systematic literature review. Through a human-centered lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Tourism Recovery for Agritech Startups: Data Quality And Bias | 2022–2026 Trends

ABSTRACT
Tourism Recovery for Agritech Startups: Data Quality And Bias | 2022–2026 Trends is unpacked across themes: interoperability, ethics, governance, and security. Limitations and future research paths are noted.
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