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    Census big data analytics use: International cross case analysis

    Chatfield, Akemi Takeoka and Ojo, Adegboyega and Puron-Cid, Gabriel and Reddick, Christopher G. (2018) Census big data analytics use: International cross case analysis. In: dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age. Association for Computing Machinery (ACM). ISBN 9781450365260

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    Despite the growing practices in big data and big data analytics use, there is still the paucity of research on links between government big data analytics use and public value creation. This multi-case study of Australia, Ireland, Mexico, and U.S.A. examines the state of big data and big data analytics use in the national census context. The census agencies are at varying stages in digitally transforming their national census process, products and services through assimilating and using big data and big data analytics. The cross-case analysis of government websites and documents identified emerging agency challenges in creating public value in the national census context: (1) big data analytics capability development, (2) cross agency data access and data integration, and (3) data security, privacy & trust. Based on the insights gained, a research model aims to postulate the possible links among challenges, big data/big data analytics use, and public value creation

    Item Type: Book Section
    Keywords: Big data analytics; census big data; use; big data challenges; cross case analysis; public value creation; electronic census;
    Academic Unit: Faculty of Social Sciences > School of Business
    Item ID: 13373
    Identification Number:
    Depositing User: Adegboyega Ojo
    Date Deposited: 02 Oct 2020 15:29
    Publisher: Association for Computing Machinery (ACM)
    Refereed: Yes
    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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