Location
Kumasi, Ghana & Virtual
Start Date
7-8-2026 11:30 AM
End Date
7-8-2026 12:00 PM
Description
The rapid diffusion of artificial intelligence (AI) technologies across economic sectors has intensified debate about whether such innovations exacerbate or alleviate structural inequalities, particularly for actors excluded from mainstream economic systems. Marginalized enterprises, including micro, small and medium enterprises operating in informal economies, occupy a structurally vulnerable position in digital transformation. Despite growing scholarly attention, limited attempts have been made to synthesize the body of knowledge specifically at the intersection of AI and marginalized enterprises. As such, this paper fills this gap by developing a comprehensive framework that synthesises and provides an overall direction of AI-marginalized enterprise (AI-ME) research, pointing out gaps in the AI-ME literature and providing future research directions. We systematically analysed 60 peer-reviewed journal and conference articles. The findings provide insightful revelations to address some limitations in current AI-ME research. This study makes important contributions and serves as a useful resource for future AI-ME studies and practice.
Included in
Artificial Intelligence and Marginalised Enterprises: A Systematic Literature Review
Kumasi, Ghana & Virtual
The rapid diffusion of artificial intelligence (AI) technologies across economic sectors has intensified debate about whether such innovations exacerbate or alleviate structural inequalities, particularly for actors excluded from mainstream economic systems. Marginalized enterprises, including micro, small and medium enterprises operating in informal economies, occupy a structurally vulnerable position in digital transformation. Despite growing scholarly attention, limited attempts have been made to synthesize the body of knowledge specifically at the intersection of AI and marginalized enterprises. As such, this paper fills this gap by developing a comprehensive framework that synthesises and provides an overall direction of AI-marginalized enterprise (AI-ME) research, pointing out gaps in the AI-ME literature and providing future research directions. We systematically analysed 60 peer-reviewed journal and conference articles. The findings provide insightful revelations to address some limitations in current AI-ME research. This study makes important contributions and serves as a useful resource for future AI-ME studies and practice.
