AI as Social Innovation: A Gender Perspective in Colombian SMEs

This study analyzes the adoption of artificial intelligence (AI) in Colombian small and medium-sized enterprises (SMEs) as a process of social innovation.Using exploratory quantitative methodology, a validated survey was administered to 945 SMEs across eight cities, examining sociodemographic, motivational, and organizational variables.The observed patterns show a technological democratization process: 36.4% of SMEs use AI with equitable gender distribution (women 47.3%, men 48.8%, p=0.53), indicating reduction of historical digital divides in the study group.The key democratization factors identified were accessibility (59%) and perceived usefulness (51%), with high penetration in microenterprises (52.9%).Technological dependence was associated with organizational factors (exposure time =0.296,p<0.01; digital maturity) rather than demographic characteristics, suggesting responsible management through universal policies.Results suggest that equitable AI adoption may represent significant social innovation that democratizes technological access and reduces competitive inequalities, although non-probability sampling limitations restrict generalization of results beyond the analyzed enterprises.

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Journal
Journal of technology management & innovation
Published
2025-12-01
DOI
https://doi.org/10.4067/s0718-27242025000400019
Primary Topic
Innovation and Socioeconomic Development
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article
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article

AI as Social Innovation: A Gender Perspective in Colombian SMEs

Miguel Alejandro Espinosa-Rodríguez, Hugo Alejandro Muñoz Bonilla, Deivi David Fuentes Doria
Journal of technology management & innovation
Innovation and Socioeconomic Development
article

AI as Social Innovation: A Gender Perspective in Colombian SMEs

Miguel Alejandro Espinosa-Rodríguez, Hugo Alejandro Muñoz Bonilla, Deivi David Fuentes Doria
article en

Abstract

This study analyzes the adoption of artificial intelligence (AI) in Colombian small and medium-sized enterprises (SMEs) as a process of social innovation.Using exploratory quantitative methodology, a validated survey was administered to 945 SMEs across eight cities, examining sociodemographic, motivational, and organizational variables.The observed patterns show a technological democratization process: 36.4% of SMEs use AI with equitable gender distribution (women 47.3%, men 48.8%, p=0.53), indicating reduction of historical digital divides in the study group.The key democratization factors identified were accessibility (59%) and perceived usefulness (51%), with high penetration in microenterprises (52.9%).Technological dependence was associated with organizational factors (exposure time =0.296,p<0.01; digital maturity) rather than demographic characteristics, suggesting responsible management through universal policies.Results suggest that equitable AI adoption may represent significant social innovation that democratizes technological access and reduces competitive inequalities, although non-probability sampling limitations restrict generalization of results beyond the analyzed enterprises.

Journal of technology management & innovationVol. 20(4)
Corporación Universitaria Minuto de Dios (CO)
Gender equality
Openalex Percentile: Top 16%
Innovation and Socioeconomic Development
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