Study investigates technological entrepreneurship in low-income communities in Brazil

In recent years, international development projects have sought to stimulate technological entrepreneurship in low-income communities as a way to alleviate poverty. In Brazil, a technology hub known as Porto Digital developed the “Ressignifica” project, aimed at providing training to creative economy entrepreneurs in underserved communities. Researchers Ely Laureano Paiva (FGV EAESP) and Marcos Primo (UFPE) investigated how these training resources can impact business development in these communities, highlighting the challenges and achievements of such an initiative.

The research, published in the journal Technological Forecasting and Social Change, studies the case of the Ressignifica project in four low-income communities in Brazil. Thus, the researchers used participant observation, interviews with team leaders and project coordinators, and document analysis as methodology. The objective was to understand how the resources of a technology hub could foster entrepreneurship in low-income communities.

Thus, the key factor determining the success of some groups was technological literacy. Other groups, especially those without basic business and technology skills, faced additional challenges. During the three phases of the project—entrepreneurial awareness, early stage, and incubation—participants needed not only access to resources but also support to use them effectively.

The researchers highlight the entrepreneurial awareness stage as a key resource. It aims to increase participants’ self-esteem and confidence and is essential for engagement in the hub’s activities. In addition, groups that already had some degree of technological literacy were able to advance more quickly, demonstrating that prior training has a direct impact on results.

Another relevant point was the observation that teamwork was one of the main mechanisms for participants to develop their entrepreneurial ideas. Therefore, collaboration between community members allowed the identification of opportunities and the development of startups during the incubation process.

In conclusion, the study highlights that, in order to achieve success in technological entrepreneurship initiatives in low-income communities, a set of structured actions over time is necessary. This includes gradual training, ongoing support and adaptation of resources to the specific needs of entrepreneurs at different stages of the project.

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