Data-Based Social Entrepreneurship Models to Address Economic Inequality in the Post-Digital Era

Abstract

Economic inequality in the post-digital era has undergone a shift in form, from just differences in the distribution of resources to inequality in access, control, and use of data. This research aims to explore data-driven social entrepreneurship models as innovative solutions to overcome economic inequality in the post-digital era. Through a systematic literature study of 10 recent scientific publications, three main approaches were found: real-time social needs mapping, analytics-based decision-making systems, and collaboration through open data. The results of this study resulted in a conceptual model called the Data-Driven Social Entrepreneurship Model (DDSEM), which includes five pillars: data-driven mapping, participatory innovation, adaptive decision-making, cross-sector collaboration, and data justice. This model is not only responsive to the challenge of inequality, but also encourages the democratization of information and the ethics of data use. These findings are expected to be an important contribution to social entrepreneurship practices and digital inclusion policies in developing countries.