Social by Nature: How Socio-tecture Shapes the Work of SMBs and Considerations for Reimagining Collaborative Human-AI Systems

要旨

Globally, small and medium-sized businesses (SMBs) have had to adapt to rapid digital changes, a shift accelerated by the COVID-19 pandemic. In Kenya, this transition has involved a significant move towards digital management tools. While many had already experienced marked digitalization over the last few decades, they completed this work differently from their European and North American counterparts. This study explores how Kenyan SMBs continue to navigate these changes and considers the potential of Generative AI in this context. Applying the concept of socio-tecture—which emphasizes social networks, relational business practices, and employees as knowledge producers—we analyze how these elements influence SMB operations in Nairobi. We highlight how socio-tecture affects business performance and growth, and discuss how an Afro-centric strengths-based approach might offer unique opportunities and challenges with the influx of new technologies like Generative AI.

著者
Elizabeth Ankrah
University of California, Irvine, Irvine, California, United States
Kagonya Awori
Google, Nairobi, Kenya
Stephanie Nyairo
Microsoft Research Africa, Nairobi, Kenya
Mercy Muchai
Microsoft Research Africa, Nairobi, Kenya
Millicent Ochieng
Microsoft Research Africa, Nairobi, Kenya
Mark Kariuki
University of Nairobi, Nairobi, Kenya
Gillian R. Hayes
University of California, Irvine, Irvine, California, United States
Jacki O'Neill
Microsoft Research Africa, Nairobi, Kenya
DOI

10.1145/3706598.3715019

論文URL

https://dl.acm.org/doi/10.1145/3706598.3715019

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Working with AI (or not)

Annex Hall F205
5 件の発表
2025-04-30 18:00:00
2025-04-30 19:30:00
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