Publicação
Impact and implementation of data science for social good projects
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | pt_PT |
| dc.contributor.advisor | Zejnilovic, Leid | |
| dc.contributor.author | Goerg, Jennifer | |
| dc.date.accessioned | 2019-05-10T11:33:15Z | |
| dc.date.available | 2019-05-10T11:33:15Z | |
| dc.date.issued | 2019-01-14 | |
| dc.description.abstract | The focus of this study is on assessing the success factors of data science projects within governmental institutions, as technology laggards, and on investigating the impact of these projects on these organizations. Using the Dynamic Capabilities as theoretical underpinning, and qualitative analysis of 6 expert interviews with key informants related to the Data Science for Social Good fellowship, this study extends the theory by analyzing the projects within scoping, prototyping and implementation. The findings contribute to the understanding of the resources and capabilities to execute data science projects in organizations that lack determinants of success, and impact of these projects. | pt_PT |
| dc.identifier.tid | 202224694 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10362/69199 | |
| dc.language.iso | eng | pt_PT |
| dc.subject | Data science resources and capabilities | pt_PT |
| dc.subject | Dynamic capabilities | pt_PT |
| dc.subject | Implementation process | pt_PT |
| dc.subject | Organizational impact | pt_PT |
| dc.title | Impact and implementation of data science for social good projects | pt_PT |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics | pt_PT |