Human-Computer Interaction Adoption in SMEs in Sub-Saharan Africa: Data Quality And Bias — Post-Pandemic Lessons

Dissertation 4.9

Human-Computer Interaction Adoption in SMEs in Sub-Saharan Africa: Data Quality And Bias — Post-Pandemic Lessons

Pages

Chicago

Style

~ 27–39 mins

Reading Time

Sustainability Leadership AIOps

Abstract

This dissertation investigates “Human-Computer Interaction Adoption in SMEs in Sub-Saharan Africa: Data Quality And Bias — Post-Pandemic Lessons” using a agent-based simulation. Through a human-centered lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

Download PDF Order Similar Paper Save

Human-Computer Interaction Adoption in SMEs in Sub-Saharan Africa: Data Quality And Bias — Post-Pandemic Lessons

ABSTRACT

Human-Computer Interaction Adoption in SMEs in Sub-Saharan Africa: Data Quality And Bias — Post-Pandemic Lessons is unpacked across themes: change enablement, benefits, risks, and governance. Limitations and future research paths are noted.

Open full preview

View Full Paper