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Natural Language Processing for SMEs in Sub-Saharan Africa: Human Factors And Usability | A mixed-methods case study

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Abstract

This report investigates “Natural Language Processing for SMEs in Sub-Saharan Africa: Human Factors And Usability | A mixed-methods case study” using a qualitative grounded theory. Through a human-centered lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

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Natural Language Processing for SMEs in Sub-Saharan Africa: Human Factors And Usability | A mixed-methods case study

ABSTRACT
Natural Language Processing for SMEs in Sub-Saharan Africa: Human Factors And Usability | A mixed-methods case study is unpacked across themes: governance, KPIs, change enablement, and security. Limitations and future research paths are noted.
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