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Policy Brief 4.4

Natural Language Processing Adoption in Mobile Money Users: Human Factors And Usability — Evidence from Southeast Asia

15
Pages
Chicago
Style
~ 15–23 mins
Reading Time
InsurTech Leadership IoT
Abstract

This policy brief investigates “Natural Language Processing Adoption in Mobile Money Users: Human Factors And Usability — Evidence from Southeast Asia” using a time-series forecasting. Through a human-centered lens, the analysis integrates multi-source data to derive an actionable roadmap for researchers and practitioners.

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Natural Language Processing Adoption in Mobile Money Users: Human Factors And Usability — Evidence from Southeast Asia

ABSTRACT
Natural Language Processing Adoption in Mobile Money Users: Human Factors And Usability — Evidence from Southeast Asia is unpacked across themes: governance, risks, costs, and benefits. Limitations and future research paths are noted.
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