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    How to create public value through open data driven Co-creation: A survey of the literature


    Callinan, Colin and Scott, Murray and Ojo, Adegboyega and Whelan, Eoin (2018) How to create public value through open data driven Co-creation: A survey of the literature. In: ICEGOV '18: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery (ACM), pp. 363-370. ISBN 9781450354219

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    Abstract

    The drive for openness in government, with open data as a key component, has seen governments around the world devote a large amount of resources to publishing government collected and held data. Scarce resources are being devoted to this goal with the primary goals designated as economic growth and increased innovation. A somewhat overlooked aim is the creation of public value which can be deployed as an openness and trust enhancing apparatus. This preliminary work addresses this gap by aiming to develop the core knowledge of how public value can be co-created with open data. Through an extensive survey of the relevant literature, this research seeks to build an initial framework of public value as applied to co-created open data. Grounded in the structured literature review technique, the authors surveyed the pertinent literature to identify the primary factors that enable value co-creation from the citizens point of view. Furthermore, this research proposes an adapted collection of public values as they relate to open data.

    Item Type: Book Section
    Additional Information: Cite as: C. Callinan, M. Scott, A. Ojo, E. Whelan. 2018. How to Create Public Value Through Open Data Driven Co-Creation: A Survey of the Literature. In Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, Galway, Ireland, April 2018 (ICEGOV’18), 8 pages. DOI: 10.1145/3209415.3209457
    Keywords: Open data; co-creation; public value; value creation;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 13379
    Identification Number: https://doi.org/10.1145/3209415.3209457
    Depositing User: Adegboyega Ojo
    Date Deposited: 02 Oct 2020 16:16
    Publisher: Association for Computing Machinery (ACM)
    Refereed: Yes
    URI:

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