Causal mechanisms that enable institutionalisation of open government data in Kenya

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dc.contributor.advisorVan Belle, Jean-Paulen_ZA
dc.contributor.authorMungai, Paulen_ZA
dc.date.accessioned2018-02-07T12:14:31Z
dc.date.available2018-02-07T12:14:31Z
dc.date.issued2017en_ZA
dc.description.abstractOpen Government Data (OGD) has become a topic of prominence during the last decade. However, most governments have not realized the desired outcomes from OGD, which implies that the envisaged value streams have not been realized. This study defines three objectives that will help address this shortcoming. First, it seeks to identify the causal mechanisms that lead to effective institutionalization and sustainability of OGD initiatives in a developing country context. Second, it seeks to identify the social, economic, cultural, political structures and components that describe the OGD context. Third, it seeks to identify the underlying contextmechanism- outcome (CMO) configurations in the Kenya Open Data Initiative (KODI). The guiding philosophy for this qualitative study is critical realism, which is implemented using Pawson & Tilley's realist evaluation model. Data is obtained through observation of open data events, semi-structured interviews and documentary materials from websites and policy documents. Fereday & Muir-Cochrane's five-stage thematic analysis model is applied in conducting data analysis. Three main contributions arise from this study. The first contribution is the open data institutionalization analysis guide. This study collates several institutionalization concepts from literature with the aim of developing a lens for analyzing OGD initiatives. The second contribution is the identification of supporting mechanisms, including a description of the current CMO configurations. The resulting case study provides an in-depth account of KODI between 2011 and 2016. This will assist policy makers in understanding the current setup, identifying gaps, and establishing or supporting existing support structures and mechanisms. The third contribution is related to scarcity of empirical work based on critical realism in the field of information systems. This research will act as a reference point for future IS research, in determining how critical realism can be applied to conduct similar studies.en_ZA
dc.identifier.apacitationMungai, P. (2017). <i>Causal mechanisms that enable institutionalisation of open government data in Kenya</i>. (Thesis). University of Cape Town ,Faculty of Commerce ,Department of Information Systems. Retrieved from http://hdl.handle.net/11427/27409en_ZA
dc.identifier.chicagocitationMungai, Paul. <i>"Causal mechanisms that enable institutionalisation of open government data in Kenya."</i> Thesis., University of Cape Town ,Faculty of Commerce ,Department of Information Systems, 2017. http://hdl.handle.net/11427/27409en_ZA
dc.identifier.citationMungai, P. 2017. Causal mechanisms that enable institutionalisation of open government data in Kenya. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Mungai, Paul AB - Open Government Data (OGD) has become a topic of prominence during the last decade. However, most governments have not realized the desired outcomes from OGD, which implies that the envisaged value streams have not been realized. This study defines three objectives that will help address this shortcoming. First, it seeks to identify the causal mechanisms that lead to effective institutionalization and sustainability of OGD initiatives in a developing country context. Second, it seeks to identify the social, economic, cultural, political structures and components that describe the OGD context. Third, it seeks to identify the underlying contextmechanism- outcome (CMO) configurations in the Kenya Open Data Initiative (KODI). The guiding philosophy for this qualitative study is critical realism, which is implemented using Pawson & Tilley's realist evaluation model. Data is obtained through observation of open data events, semi-structured interviews and documentary materials from websites and policy documents. Fereday & Muir-Cochrane's five-stage thematic analysis model is applied in conducting data analysis. Three main contributions arise from this study. The first contribution is the open data institutionalization analysis guide. This study collates several institutionalization concepts from literature with the aim of developing a lens for analyzing OGD initiatives. The second contribution is the identification of supporting mechanisms, including a description of the current CMO configurations. The resulting case study provides an in-depth account of KODI between 2011 and 2016. This will assist policy makers in understanding the current setup, identifying gaps, and establishing or supporting existing support structures and mechanisms. The third contribution is related to scarcity of empirical work based on critical realism in the field of information systems. This research will act as a reference point for future IS research, in determining how critical realism can be applied to conduct similar studies. DA - 2017 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2017 T1 - Causal mechanisms that enable institutionalisation of open government data in Kenya TI - Causal mechanisms that enable institutionalisation of open government data in Kenya UR - http://hdl.handle.net/11427/27409 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/27409
dc.identifier.vancouvercitationMungai P. Causal mechanisms that enable institutionalisation of open government data in Kenya. [Thesis]. University of Cape Town ,Faculty of Commerce ,Department of Information Systems, 2017 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/27409en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Information Systemsen_ZA
dc.publisher.facultyFaculty of Commerceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherInformation Systemsen_ZA
dc.subject.otherOpen Data Policyen_ZA
dc.titleCausal mechanisms that enable institutionalisation of open government data in Kenyaen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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