Technology is driving innovation in social entrepreneurship, where access to information, education, mobile connectivity, artificial intelligence (AI), and cryptocurrencies have made it possible to modify the social impact. Our research focuses on the formation, integration, and execution of ideal training programs that contribute to positive results in economic axes defined in terms of Technological Innovation, Social Entrepreneurship, Innovative Solutions for Social Challenges, efficiency, scalability, and financial sustainability. This research needs to solve the problem of developing a training program in technological innovation and social entrepreneurship because currently, these programs face several problems partially solved in the literature; these problems are mostly: lack of alignment with organizational objectives, lack of relevance and applicability, deficiencies in program design, lack of top management support, and inadequate performance evaluation. Technological innovation and social entrepreneurship in vocational training are implemented as processes that introduce new technologies, methodologies, and approaches to improve the learning and performance of an organization's workers. In this research, measures and metrics were implemented that allowed various aspects to evaluate and improve the performance of the training program, metrics were implemented that made it possible to assess multiple aspects and enhance the performance of the training programs. Our research axes show that quantitative feedback surveys established our performance indicators were conducted to evaluate the relevance and applicability of the program. Due to their characteristics, the results obtained in this research allows to solve this problem and empower the participating people and organizations to create social and environmental impact; they also allowed to increase productivity and define more efficient processes. For this reason, this research work identified the factors that intervene in using training programs within a public entity by collecting qualitative and quantitative data