Chatfield, Akemi Takeoka, Ojo, Adegboyega, 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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Abstract
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 |
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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: | 10.1145/3209281.3209372 |
Depositing User: | Adegboyega Ojo |
Date Deposited: | 02 Oct 2020 15:29 |
Publisher: | Association for Computing Machinery (ACM) |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/13373 |
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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