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Dissertation 4.9

Privacy And Security in FinTech for Agritech Startups: A time-series forecasting

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Abstract

This dissertation investigates “Privacy And Security in FinTech for Agritech Startups: A time-series forecasting” using a benchmarking and maturity modeling. Through a behavioral lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Privacy And Security in FinTech for Agritech Startups: A time-series forecasting

ABSTRACT
Privacy And Security in FinTech for Agritech Startups: A time-series forecasting is unpacked across themes: usability, security, change enablement, and risks. Limitations and future research paths are noted.
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