Publicação
Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age
| 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 |
| _version_ | 1868983222017196032 |
|---|---|
| author | Testa, Giacomo |
| author_facet | Testa, Giacomo |
| author_role | author |
| contributor_name_str_mv | Zejnilovic, Leid Mestrinho, Lénia RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Testa, Giacomo\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Zejnilovic, Leid Mestrinho, Lénia RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Testa, Giacomo |
| datacite.date.Accepted.fl_str_mv | 2024-06-14T00:00:00Z |
| datacite.date.available.fl_str_mv | 2025-03-21T15:53:40Z |
| datacite.date.embargoed.fl_str_mv | 2025-03-21T15:53:40Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Data-driven decision making Social impact organizations Digital transformation Nonprofit technology adoption Technological barriers Strategic data use Evolution of nonprofit sector |
| datacite.titles.title.fl_str_mv | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age |
| dc.contributor.none.fl_str_mv | Zejnilovic, Leid Mestrinho, Lénia RUN |
| dc.creator.none.fl_str_mv | Testa, Giacomo |
| dc.date.Accepted.fl_str_mv | 2024-06-14T00:00:00Z |
| dc.date.available.fl_str_mv | 2025-03-21T15:53:40Z |
| dc.date.embargoed.fl_str_mv | 2025-03-21T15:53:40Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/181054 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Data-driven decision making Social impact organizations Digital transformation Nonprofit technology adoption Technological barriers Strategic data use Evolution of nonprofit sector |
| dc.title.fl_str_mv | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/5c2cd824-811f-4f63-8e8a-f15abb5ea386/download |
| id | run_e358d61bf5f44d898341d5c989c19ca4 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/181054 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/181054 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Testa, Giacomo |
| publishDate | 2024 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engpt_PTPrevious 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.application/pdfpt_PTData-driven decision-making in Portuguese social economy: Changes and advancements in the Digital AgeTesta, GiacomoZejnilovic, LeidMestrinho, LéniaHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2039025642025-03-21T15:53:40Z2024-06-142024-05-172024-06-14T00:00:00ZHandlehttp://hdl.handle.net/10362/181054http://purl.org/coar/access_right/c_abf2open accessData-driven decision makingSocial impact organizationsDigital transformationNonprofit technology adoptionTechnological barriersStrategic data useEvolution of nonprofit sector369106 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesishttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/5c2cd824-811f-4f63-8e8a-f15abb5ea386/download |
| spellingShingle | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age Testa, Giacomo Data-driven decision making Social impact organizations Digital transformation Nonprofit technology adoption Technological barriers Strategic data use Evolution of nonprofit sector |
| status | SINGLETON |
| subject.fl_str_mv | Data-driven decision making Social impact organizations Digital transformation Nonprofit technology adoption Technological barriers Strategic data use Evolution of nonprofit sector |
| title | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age |
| title_full | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age |
| title_fullStr | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age |
| title_full_unstemmed | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age |
| title_short | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age |
| title_sort | Data-driven decision-making in Portuguese social economy: Changes and advancements in the Digital Age |
| topic | Data-driven decision making Social impact organizations Digital transformation Nonprofit technology adoption Technological barriers Strategic data use Evolution of nonprofit sector |
| topic_facet | Data-driven decision making Social impact organizations Digital transformation Nonprofit technology adoption Technological barriers Strategic data use Evolution of nonprofit sector |
| url | http://hdl.handle.net/10362/181054 |
| visible | 1 |