Motivational factors from citizens participating in civic crowdsourcing initiatives
Abstract. The perspective of citizen participation via electronic means is a topic that is taking relevance in the recent years from governments in order to find new ways to engage citizens in a more direct dialogue about public matters. This research study is based on the motivational drivers of ci...
- Autores:
-
Sierra González, Danny
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/59894
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/59894
http://bdigital.unal.edu.co/57705/
- Palabra clave:
- 0 Generalidades / Computer science, information and general works
3 Ciencias sociales / Social sciences
35 Administración pública y ciencia militar / Public administration and military science
6 Tecnología (ciencias aplicadas) / Technology
62 Ingeniería y operaciones afines / Engineering
Civic crowdsourcing
Citizen participation
Motivational factors
E-government
Open government
Open innovation
Crowdsourcing cívico
Participación ciudadana
Factores motivacionales
E-gobierno
Gobierno abierto
Innovación abierta
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
Summary: | Abstract. The perspective of citizen participation via electronic means is a topic that is taking relevance in the recent years from governments in order to find new ways to engage citizens in a more direct dialogue about public matters. This research study is based on the motivational drivers of citizens around a civic crowdsourcing model in order to strengthen the guidelines of open government and e-government in Bogotá. For this, first it was characterized a civic crowdsourcing initiative in Bogotá. Then, it was gathered motivational user crowdsourcing dimensions from the literature review to set up a survey-based analysis. Afterwards, an explorative factor analysis and clustering analysis was run to profile the most relevant motivational drivers in the studied population. Finally, it was described the data of clusters and interpreted against the literature. |
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