Qualitative Structural Model for Capabilities in Open Data Organizations

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dc.contributor.authorAhmadi Zeleti, Fatemeh
dc.contributor.authorOjo, Adegboyega
dc.date.accessioned2019-01-03T00:09:35Z
dc.date.available2019-01-03T00:09:35Z
dc.date.issued2019-01-08
dc.description.abstractOpen data is increasingly becoming an essential asset for many organizations. However, large numbers of organizations fall short when it comes to utilizing open data effectively to fully leverage the potential of it. There are ample evidences that this shortcoming is attributable to the poor understanding of what types of capabilities are required to successfully conduct data related activities. At the same time, research on open data capabilities and how they relate to one another remains sparse. Based on the theoretical foundation constructed from the integration of Capability-based Theory and Dynamic Capability Theory and, extant literature and interviews of leadership of open data organizations, we attempt to address this knowledge gap by investigating open data capabilities and relationships between them. Findings help validate the two theories in the open data organizations and reveal unknown knowledge about open data capability areas and how they affect one another.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2019.351
dc.identifier.isbn978-0-9981331-2-6
dc.identifier.urihttp://hdl.handle.net/10125/59727
dc.language.isoeng
dc.relation.ispartofProceedings of the 52nd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectData-driven Government: Creating value from Big and Open Linked Data
dc.subjectDigital Government
dc.subjectopen data; open data organizations; open data capability; structural model; capability model
dc.titleQualitative Structural Model for Capabilities in Open Data Organizations
dc.typeConference Paper
dc.type.dcmiText

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