Data-driven decision making in social impact sector in Portugal: state of the art, challenges, and opportunities for improvements

Technological development contributed to the increasing availability of data and the capacity to process it. Data-driven decision-making became affordable and a source of competitive advantage for profit-seeking organizations. However, the third sector is falling behind in the adoption of data science. Evidence lacksin the scholarly literature of critical resources affecting social-good-oriented organizations’adoption decisions. This thesis aims to fill this gap throughan empirical investigation of data science usage among Portuguese social economy entities. A mixed-method research is conducted, informed by the theoretical frameworks of technology adoption model and resource-based viewof the firm. The results are discussed from the practitioners and theory contribution perspectives