Women-led microenterprises play a central role in local economies, yet many remain excluded from digital and STEM-related opportunities. This study examines how a University Social Responsibility (USR) training program in Peru supports the development of digital skills that enable women micro-entrepreneurs to progress toward STEM pathways. The objectives were to identify current digital practices, barriers and opportunities for adoption, typologies of digital users, and priority actions to strengthen USR–STEM programs. A qualitative design
was used based on six focus groups conducted across six regions. The data were analyzed using thematic analysis with a deductive–inductive approach, supported by predefined categories linked to the study objectives and refined through emerging patterns. Findings show
increasing use of social networks, management tools, and generative AI, often stimulated by the training received. Barriers include financial constraints, limited time due to care responsibilities, and gaps in technical skills. Opportunities arise from growing confidence, demand for practical and progressive training, and the role of partnerships with universities and local actors. Two adoption profiles emerge: (1) high-adoption users integrating diverse tools for management and innovation, and (2) transitioning users whose basic digital engagement is shaped by structural constraints. The study proposes a cost–time priority matrix and aligns the findings with DG-tech indicators to guide scalability. The results highlight the need for differentiated training pathways and multisector partnerships to reduce digital gender gaps and advance women’s technological inclusion. The findings offer practical guidance for institutions and policymakers designing scalable digital and STEM-oriented programs for women micro-entrepreneurs.
