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Dissertation 4.7

FinTech and Policy And Regulation among City Planners — A time-series forecasting

25
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APA
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~ 26–37 mins
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NLP Psychology AR/VR
Abstract

This dissertation investigates “FinTech and Policy And Regulation among City Planners — A time-series forecasting” using a panel regression with fixed effects. Through a socio-technical lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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FinTech and Policy And Regulation among City Planners — A time-series forecasting

ABSTRACT
FinTech and Policy And Regulation among City Planners — A time-series forecasting is unpacked across themes: ethics, benefits, interoperability, and equity. Limitations and future research paths are noted.
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