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    Capability matrix for open data


    Zeleti, Fatemeh Ahmadi and Ojo, Adegboyega (2014) Capability matrix for open data. IFIP Advances in Information and Communication Technology, 434. pp. 498-509. ISSN 1868-4238

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    Abstract

    With the rapid growth of data on the web, a significant number of businesses have embraced the idea of open data to enable innovation, generate revenue and develop new data products and services. However, many businesses are still reluctant due to paucity of information on requisite capabilities to successfully publish and reuse open data to support their business goals. However, scholarly efforts articulating the nature and types of capabilities required for open data processes and innovation are very limited. This could be partly attributed to the fact that most of the discussions on open data capabilities are predominantly in the practice community. We bridge this knowledge gap by mapping Open Data (OD) capabilities described in extant literature, organizing these capabilities into major capability areas and deconstructing these areas to build a capability matrix. The resulting capability matrix provides OD program managers in particular with a framework (or tool) to develop their detailed OD capability requirements. We also believe that the developed framework provides researchers with a foundation for further analysis of OD capabilities.
    Item Type: Article
    Keywords: Open data, value chain; open data value chain; Information Technology capabilities; open data capabilities; data-driven virtual organizations;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Faculty of Social Sciences > School of Business
    Item ID: 15811
    Identification Number: 10.1007/978-3-662-44745-1_50
    Depositing User: Adegboyega Ojo
    Date Deposited: 12 Apr 2022 14:26
    Journal or Publication Title: IFIP Advances in Information and Communication Technology
    Publisher: Springer
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/15811
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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