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Data-driven decision-making in Portuguese social impact organisations: evolutionary trends and catalysts
Orientador(es)
Resumo(s)
Previous research indicated that the Portuguese social sector was lagging behind in the adoption
of Data Science, despite its numerous benefits. However, recent years have witnessed several
catalysts potentially driving progress, including the COVID-19 pandemic, the emergence of
disruptive technologies and their decreasing costs, and competitive pressures. Employing a
quantitative approach, this study revealed modest enhancements in Data Science usage, which
fell short of expectations. Nevertheless, Portuguese social impact organisations are increasingly
recognising the potential value of Data Science, with partnerships, AI, and new software
emerging as some of the catalysts for the observed changes.
Descrição
Palavras-chave
Social impact organizations Data science for social good Data for impact Data for good