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Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age

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Resumo: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 qualitative method research 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.
Autores principais:Testa, Giacomo
Assunto:Data-driven decision making Social impact organizations Digital transformation Nonprofit technology adoption Technological barriers Strategic data use Evolution of nonprofit sector
Ano:2024
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL

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