Objective: Social entrepreneurship is a concept derived from entrepreneurship; but it has purposes and goals different from entrepreneurship. Social entrepreneurship activity intends to solve a social problem or to encourage social activity to create a sustainable solution. The purpose of this research was to design a digital social entrepreneurship model and test and fit it through structural equation modeling. Method: The research is a mixed qualitative and quantitative method. It is practical in terms of purpose and exploratory. The qualitative part is based on data-based theory and the quantitative part is based on structural equation modeling. The statistical population was the qualitative part of the research on businesses in the social and digital fields of the country. The data is based on interviews with 11 expert entrepreneurs and activists of these two business areas, through targeted sampling using the snowball method and a quantitative part by distributing researcher-made questionnaires among the entrepreneurs and managers of the above two regions. Has been collected. Validity and reliability were evaluated and confirmed by the Lincoln and Goba method. Qualitative data analysis was done with the help of Maxquda.2020 software and quantitative data analysis was done with SPSS and Smart PLS.3 software. Results: Based on the results of the qualitative part of the research, the concept of digital social entrepreneurship has formed the central phenomenon of the model. Out of 33 influential components, causal conditions with four components: personality traits, people's role models, neglected needs of society, special advantages of digital approach; Background conditions with the following components: society's acceptance, availability of entrepreneurship platform, knowledge and expertise of entrepreneurship and application of suitable tools of digital approach; Intervening factors in three categories: strengthening, weakening and potential; Strategies under five categories: partnership strategy, program formulation and professional implementation, facilitating conditions and supporting social businesses, long-term gradual growth and modeling; The consequences have been identified with the following components: the excellence of the society, the acquisition of a superior social position, the promotion of public welfare, the acceleration of affairs, the development of businesses, and the satisfaction of satisfied needs, and based on the findings of the quantitative part, the main relationships of the research model and Confirmed. Conclusion: If social entrepreneurs advance their activities toward solving social problems, with the bias of digitalization and using online services, they will be able to provide faster, more valuable, and wider services, beyond the territory of Providing a place for more needy people. [ABSTRACT FROM AUTHOR]